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1Z0-450 | Oracle Application Express 3.2-(R) Developing Web Applications

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1Z0-450 - Oracle Application Express 3.2-(R) Developing Web Applications - braindump

Vendor Oracle
Exam Number 1Z0-450
Exam Name Oracle Application Express 3.2-(R) Developing Web Applications
Questions 49 Q & A
Recent Update February 18, 2019
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Test Code : 1Z0-450
Test Name : Oracle Application Express 3.2-(R) Developing Web Applications
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Q&A : 49 Real Questions

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    AI and ML latest news: NewRelic acquires startup SignifAI to bring 'applied intelligence' to DevOps | killexams.com real questions and Pass4sure dumps

    NewRelic, the cloud-based application analytics firm, has added machine learning to its armoury in the shape of SignifAI, an Israeli-US startup focused on event intelligence - or sorting signal from noise in the fast-moving field of DevOps.

    SignifAI, according to its white paper, is a 'SaaS-based correlation engine that leverages AI and machine learning to break down the data silos found in complex enterprise IT environments.'

    It integrates via APIs to around 60 commonly used monitoring and collaboration tools including Splunk, AppDynamics, Slack, AWS, Nagios - and NewRelic itself - and promises to help developers identify the root cause of errors by sifting through events, logs, time-series data and infrastructure alerts, ranking and outputting the most probable causes to a user console or through the monitoring tool. Users can also train the model to improve the accuracy of the correlations.

    AIOps is a relatively new addition to the blizzard of AI and DevOps-related phrases. It refers to the use of machine learning to analyse data collected from various IT operations tools and devices in order to spot and react to issues in real time.

    In the company's blog, NewRelic's chief product officer Jim Gochee comes down in favour of  the term ‘applied intelligence' to describe the application of machine learning to the software development process.

    "We decided to use the term 'Applied Intelligence' to describe our philosophy and approach to bringing artificial intelligence (AI) / machine learning (ML) to our space. We chose 'Applied Intelligence' to remind ourselves to continuously reflect on the individual words and their meanings, with the goal of keeping us on track to deliver truly meaningful customer value with our AI efforts," he writes.

    04/02/2019 Heathrow trials AI system for landing planes in bad weather

    In bad weather, visibility from Heathrow's 87-metre tall control tower can be drastically reduced as low clouds obscure the views of the runways below.

    When this happens, air traffic controllers need to rely on radar to ensure that a plane that has just landed has cleared the runway, and a margin of error must be built in for safety. This causes delays and backlogs and a 20 per cent loss of landing capacity, according to Airport World.

    This is an area where AI - together with ultra HD 4K cameras - can help, believes air traffic control service NATS. The organisation has begun a trial using 20 such cameras installed in the tower together with a machine learning system called Aimee which has been developed by Canadian vendor Searidge Technologies. A similar trial is underway at Singapore's Changi Airport.

    Once trained, Aimee should be able to track the aircraft from the time they land until they are clear of the runway, even when the cameras' images are difficult to interpret by the human eye. It will then alert the air traffic controller who will make the final decision on whether to clear the next arriving flight for landing. As such, Aimee is very much an aid to human decision making rather than being an autonomous control system. 

    The behaviour of 50,000 arriving aircraft will be studied over the next 12 months to see how the system responds to real-world situations.

    AI is likely to play an increasingly important role in the management of air traffic in the future, including for Heathrow's planned third runway, said Heathrow's operations director, Kathryn Leahy.

    "We'll be keeping a close eye on this trial, as the technology could have a major role as we prepare for the expanded airport. We will watch how AI and digital towers could be used to monitor all three of the expanded airport's runways in future," she said.

    The results of the trial will be presented to be presented to the UK Civil Aviation Authority next March.

    28/01/2019 Amazon open-sources its SageMaker Neo machine learning optimisation software

    Raspberry Pi Zero

    Amazon has open-sourced SageMaker Neo, its software for training machine learning models and optimising the way they run on different types of devices.

    SageMaker Neo is designed to ensure that ML models run as efficiently as possible on a variety of machines and environments. Unlike the training stage, in which models are generally honed on high-powered machines, for the inference stage, where the model makes predictions based on new data, it may be running on much lowlier devices.

    The environment can have a big effect on the amount of time it takes for a model to infer a result and on the number of such calculations that can be run in parallel. On edge devices in the IoT - a single board computer like a Raspberry Pi for example - latency and limited concurrency can be severe impediments. ML models are far from device-agnostic.

    Most devices can be optimised to speed up the inference process, but this generally involves a fair bit of manual tinkering and trial and error. The original SageMaker was a model training framework, but SageMaker Neo, introduced last November, combines that with an optimisation stage, taking the fully trained model and generating an executable that's specific to the target device - be that a GPU or a Pi.

    "Amazon SageMaker Neo automatically optimises machine learning models to perform at up to twice the speed with no loss in accuracy. You start with a machine learning model built using MXNet, TensorFlow, PyTorch, or XGBoost and trained using Amazon SageMaker. Then you choose your target hardware platform from Intel, Nvidia, or Arm. With a single click, SageMaker Neo will then compile the trained model into an executable," the company says on its website, adding that the compiler uses neural networking techniques to analyse the target platform so that optimisations can be applied.

    The Neo-AI project is available on Github under the Apache Software License, allowing developers to tailor the code to suit their own needs.

    Other cloud firms, including Microsoft and Google, are also working on applying AI to the ‘intelligent edge'.

    07/01/2019 Huawei announces 'highest performance ARM-based CPU' aimed at AI workloads

    Huawei has announced what it claims is the world's best performing ARM-based processor.

    Unveiled on Sunday, the Kunpeng 920 is purpose-built for AI workloads that involve processing large volumes of data utilising distributed storage.

    In SPECint benchmarking tests, the Kunpeng 920 scored more than 930, or almost 25 per cent higher than the industry benchmark, while using 30 per cent less power than competitors, Huawei claims.

    The Huawei-designed processor is manufactured on a 7-nanometer process based on the ARM architecture. It has 64 cores with clock speed 2.6GHz and 8-channel DDR4 memory.

    The enhanced performance is primarily due to optimised branch prediction algorithms and an increased number of OP units, along with an improved memory subsystem architecture, according to the firm.

    "Today, with Kunpeng 920, we are entering an era of diversified computing embodied by multiple cores and heterogeneity. Huawei has invested patiently and intensively in computing innovation to continuously make breakthroughs. We will work with our customers and partners to build a fully connected, intelligent world," said William Xu, Huawei's chief strategy marketing officer.

    Huawei also announced three new servers in its TaiShan range that will be powered by Kunpeng 920 processors. These are aimed at corporate data centres for big data tasks requiring high concurrency and low power consumption.

    The Kunpeng 920 announcement follows hot on the heels of the AI-focused Ascend AI IP and chip series unveiled in October (see earlier in this blog).

    With its emphasis on in-house design, Huawei is becoming less reliant on non-Chinese chipset suppliers such as Intel, Qualcomm, AMD and Nvidia.

    The company has been enmeshed in controversy in recent months, with a number of countries banning its products in their networking infrastructure, claiming they are a security risk.

    The company has close connections to the Chinese government whose ‘Made in China 2025' strategy targets ten advanced technology areas including AI, robotics, renewable energy and biotechnology. The US has claimed this strategy is a "real existential threat to US technological leadership".

    02/01/2019 Researchers use machine learning to diagnose dyslexia

    Robot AI reading

    A pair of researchers have achieved promising results from a machine learning study of dyslexia among school children, diagnosing the condition successfully in 80 per cent of cases without any human intervention

    Alex Frid and Larry Manevitz from the University of Haifa, Israel, ran a series of tests on 32 school children, 17 of whom had previously been diaganosed with dyslexia. The children performed a Lexical Decision Task (LDT) in which they were asked to judge whether strings of letters appearing on a screen were meaningful or not.

    During this task, the eye movements of subjects were monitored and at the same time electrical activity in different areas of the brain was recorded using electrodes placed on the scalp.

    After a preprocessing stage, the researchers used the ReleifF to extract meaningful features from the results in an attempt to classify the results. Many valuable features were in fact discovered in areas of the signal traditionally considered as noise.

    By training their ML algorithm using the 60 ‘best' features extracted from the results, the researchers were able to diagnose dyslexia with a 79 per cent success rate; using just the ten best features, a success rate of 70 per cent was still achieved.

    However, the goal was not just to use ML for diagnosis.

    One theory of the cause of dyslexia, which affects an estimated ten per cent of the population, is that the different parts of the brain involved in decoding written texts operate asynchronously, so signals can arrive in the wrong order. The greater the asynchrony, the more difficult reading will be for the subject.

    The greatest difference between the dyslexic and other readers was observed in activity in the left hemisphere of the brain, particularly the left temporal node which has long been thought to be important in the process of interpreting the written word.

    The paper is published by arxiv.org

    19/12/2018 EU expert group draws up draft AI ethics guidlines, seeks feedback

    The European Commission's High-Level Expert Group on Artificial Intelligence (AI HLEG) has released draft ethics guidelines on trustworthy AI. The 37-page document covers proposals to ensure AI is always human-centric and deployed with "an ethical purpose ground in". It includes discussions around limiting bias and maximising inclusiveness, as well as ensuring that AI is robust in design and implementation so that it does not cause unintentional harm.

    AI HLEG boils down the core requirements for trustworthy AI into ten broad areas: Accountability; Data governance; Design for all; Governance of AI autonomy (human oversight); Non-discrimination; Respect for (and enhancement of) human autonomy; Respect for privacy; Robustness; Safety; and Transparency.

    It looks at each of these topics from technical and non-technical standpoints with a view to creating guidance on how each might be ensured.

    "Trustworthy AI has two components: (1) it should respect fundamental rights, applicable regulation, and core principles,ensuring 'ethical purpose'; and (2) it should be technically robust and reliable," the report notes in its conclusion.

    "However, even with the best of intentions, the use of AI can result in unintentional harm. Therefore ... AI HLEG has developed a framework to actually implement Trustworthy AI, offering concrete guidance on its achievement."

    The group is seeking feedback on its draft proposals before 18 January. In March a final version will be presented to the Commission.

    10/12/2018 Pharma giant Merck in deal to use AI for drug discovery

    The use of AI in drug discovery - identifying promising molecules and testing their suitability using models rather than patients - has been a focus of the pharmaceutical industry for some time. Typically drugs require years (and a huge amount of money) to move from the lab into production.

    In the latest move, pharmaceutical giant Merck is to licence an AI-based drug screening platform from Canadian biotechnology firm Cyclica as part of a year-long trial.

    Cyclica's Ligand Express is a drug screening tool which Cyclica says is a "cloud-based platform that screens small-molecule drugs against repositories of structurally-characterized proteins or ‘proteomes' to determine polypharmacological profiles."

    By understanding how a small-molecule drug will interact with all proteins in the body, scientists can prioritise candidate molecules for drugs, understanding possible side effects, and identify genetic variations which might affect the binding of the proposed drug to the target protein. Another use is investigating new uses for existing drugs.

    Small-molecule drugs typically target specific proteins associated with disease, but once in the body they may bind to other proteins too, and the side effects are hard to predict in the lab, leading to lengthy R&D and trial procedures. But AI-based techniques can help build a full picture of the likely interactions of a particular molecule.

    Friedrich Rippmann, Computational Chemistry & Biology director at Merck said the goal is to identify promising molecules and test them as quickly as possible.

    "Assessing new technologies is central to how we will advance our discovery programmes, and artificial intelligence applications like Ligand Express will provide important insights to enhance how we think about target identification to support phenotypic screening and off-target profiling in general," Rippman said.

    "Artificial intelligence has the power to make the previously unimaginable a reality - we are eager to harness these new possibilities to help drive the discoveries that can transform the lives of people affected by difficult-to-treat diseases," added Belén Garijo, member of the executive board and CEO Healthcare at Merck.

    07/12/2018 AI cracks text-based captchas

    A team of computer scientists has developed a new machine learning program that can crack the text-based captchas still used by many websites to protect against bots in a fraction of a second.

    The program was developed by scientists from Lancaster University in the UK, Northwest University in the US and Peking University in China. It uses deep learning techniques and its makers claim a much higher success rate compared to other captcha attack methods.

    It uses Generative Adversarial Network (GAN) to decode the captchas, creating synthetic captchas that are used to train the base solver algorithm. This is then fine-tuned using a smaller set of real captchas. This saves time and effort, with just 500 genuine captchas required to train the attack programme.

    In tests on 33 captcha schemes, some used by the likes of Wikipedia, Google, eBay and Microsoft, the program was able to solve a captcha within 0.05 seconds when run on desktop graphics processing unit (GPU).

    It was also able to evade advanced security features and demostrated a high level of accuracy.

    "It allows an adversary to launch an attack on services, such as Denial of Service attacks or spending spam or phishing messages, to steal personal data or even forge user identities," said Guixin Ye, a researcher on the project, which was presented at the ACM Conference on Computer and Communications Security (CCS) 2018 in Toronto.

    "Given the high success rate of our approach for most of the text captcha schemes, websites should be abandoning captchas."

    14/11/2018 Facebook, Google and Twitter use AI to track illegal drug dealing

    During his rather feeble 'grilling' by US Congress over Cambridge Analytica and other topics related to the influence of his social networks, one question that did elicit a (relatively) direct response from Mark Zuckerberg was the illegal sale of drugs on Facebook and Instagram - presumably because he could use his favourite stock answer of throwing some more AI at the problem.

    The opioid crisis is a raw issue in the US: 72,000 people died from overdoses in 2017 alone.

    Now Facebook has said it is actively using AI to track down dealers, coordinating its efforts with experts including forensic labs and local and national organisations. Google and Twitter are also involved in the collaboration.

    Facebook's vice president of US public policy Kevin Martin laid out the company's thinking in a blog post.

    "We want to make vital resources for treatment easier to find. When people search for information about opioids on Facebook and Instagram, we direct them to SAMSHA's [Substance Abuse and Mental Health Services Administration] National Helpline Information Page and other resources for free and confidential treatment and education," he said.

    "We've also begun to roll out proactive detection on Facebook and Instagram to take down more content that violates our policies before people may see or report it. Our technology is able to detect content that includes images of drugs and depicts the intent to sell with information such as price, phone numbers or usernames for other social media accounts.

    "By catching more posts automatically, this technology allows our team to use their expertise instead to investigate accounts, Pages, Groups and hashtags, as well as work with experts to spot the next trends."

    Susan Molinari, vice president for public policy at Google, said that 50,000 searches about specific opioid drugs were made each day on the search engine. 

    "We know overwhelmingly the people who are searching for help are the parents or family members of opioid users, so we know that if we can push them toward organisations like the Partnership for Drug-Free Kids, then we're getting them instant connections," Molinari said.

    The efforts so far are all about blocking content and nudging users towards getting help rather than reporting transgressors to law enforcement.

    24/10/2018 Oracle acquires AI company-intelligence firm DataFox

    Oracle has acquired DataFox, a SaaS AI firm that crunches large volumes of data on public and private businesses and feeds the results into an AI engine to create company-intelligence that customers can add to their CRM.

    The San Francisco-based startup received initial funding from Google Ventures in 2014 and counts Bain Capital, NetApp and Goldman Sachs among its customers. Co-founder and CEO Bastiaan Janmaat was a growth equity analyst at Goldman Sachs before founding the firm, and the investment bank has a stake in DataFox.

    In a letter to DataFox customers and partners, Steve Miranda, executive VP applications development at Oracle, said: "The combination of Oracle and DataFox will enhance Oracle Cloud Applications with an extensive set of AI-derived company-level data and signals, enabling customers to reach even better decisions and business outcomes."

    DataFox pulls information on millions of businesses from multiple sources including news articles, digital properties and 'unique signals' and analyses them to provide real-time information on when a company's fortunes might be about to change. Oracle says it plans to "enrich" its cloud applications such as ERP, CX, HCM and SCM with "AI-driven company-level data". Presumably the idea is to steal a march on cloud compeition from the likes of Salesforce.

    Terms of the acquisition have not been disclosed.

    19/10/2018 UK supermarkets to trial AI checkouts for age-verification

    Facial recognition technology is to be trialled by UK supermarkets for age verification purposes, with a few as-yet-unidentified stores rolling out the scanning tech at self-service checkouts this year and more widely in 2019.

    The rollout is being led by US vendor NCR, which makes self-service checkout machines for Tesco and Asda among others. The company will integrate an 'AI-powered camera' (whatever that may be) into the checkout machines, which will be able to estimate the age of shoppers when they are buying restricted items like cigarettes and alcohol. Read more on this story here.

    19/10/2018 AI - where does the liability lie?

    Emma Stevens, Associate Solicitor – Dispute Resolution, Coffin Mew

    The arguments regarding liability in the event of error or incident are beginning to expand. As developments continue, and the use of AI becomes more mainstream, there will increasingly be cases which call in to question who has liability for the systems in use.

    So says Emma Stevens, associate solicitor - dispute resolution, at law firm Coffin Mew in this article for Computing.

    The majority of the existing legislation and case law in relation to liability and duty in cases of negligence significantly pre-dates the ongoing robotics revolution. It is clear that the legal system has a lot of ground to cover before it can effectively regulate such advances and the existing law will need to be translated to apply to situations where considering the role and impact of AI and robotics was not previously necessary.

    Businesses would be sensible to make themselves aware of the technological advances in the sectors in which they operate, to ensure that their contracts are clear regarding liability (both generally and for AI) and that they have adequate insurance in place for any systems used, where appropriate.

    16/10/2018 It's big companies that are making the running in machine learning, survey

    A survey of data scientists, software engineers, architects and senior management has found that large organisations are taking the lead in their experiments with machine learning, with respondents in large organisations more likely to consider their efforts as 'sophisticated' and to have their early successes rewarded by increasing budgets than those in smaller firms.

    About half of the respondents were located in the US, a quarter in Asia with the remainder based elsewhere. The survey was conducted by Algorithmia, a US company offering a marketplace for machine-learning models.

    Across the entire sample, the main drivers for deploying machine learning models were generating customer insights and intelligence and improving the customer experience. However, in large enterprises improving customer loyalty topped the list, mentioned by 59 per cent. Large enterprises were also more likely to mention cutting costs as being a motivating force.

    Just 10 per cent of companies counted themselves as sophisticated in their use of AI and machine learning. The report notes that the sort of companies that pioneered big data techniques a few years back also have a headstart when it comes to deploying machine learning models. They have the data, the infrastructure and the skills required to build proprietary internal platforms - or 'AI layers'  - on which to deploy. Examples include Facebook's FB Learner, Netflix's Notebook Data Platform and Twitter's BigHead. It seems likely that this lead widen as investment follows success.

    A statistic that demonstrates the general immaturity of the field is the fact that 55 per cent of efforts are driven by IT compared with 37 per cent by the business.

    12/10/2018 China will overtake the US in AI, predicts former president of Google China Kai-Fu Lee

    Kai-Fu Lee, head of VC firm Sinovation Ventures and former president of Google China, says that AI's influence will be hugely disruptive to everything from the geopolitical power balance to the job market and peoples′ individual feelings of self worth. While some of the changes will be for the better, many will not, he says, warning against the techno-utopianism common in Silicon Valley.

    The speed of the coming AI revolution makes parallels with the job creation that accompanied the proliferation of electrical power and the industrial revolution redundant, Lee argued.

    "Those earlier technological revolutions took a century or longer," Lee explained, in a fascinating if discomfiting interview with IEEE Spectrum. "That gave people time to grow, and develop, and invent new jobs. But we have basically one generation with AI, and that's a lot less time."

    "We've opened Pandora's box," Lee went on, contrasting AI with other technological threats. "We did, as humans, control the proliferation of nuclear weapons, but that technology was secret and required a huge amount of capital investment. In AI, the algorithms are well known to many people, and it's not possible to forbid people to use them. College students are using them to start companies."

    Lee believes the fact that the algorithms are easily available means that the nations with the most computing power - and the most centralised command structures - will get make the running, ultimately exporting their innovations to others that might try to slow the tide to cushion its impacts. China has big advantages over current leader the USA, he said, as companies such as Tencent, which has close connections to the Chinese government, have the data, the infrastructure and a workforce that′s quite prepared to get stuck into the more humdrum parts of developing AI.

    "Chinese entrepreneurs find areas where there's enough data and a commercially viable application of AI, and then they work really hard to make the application work. It's often very hard, dirty, ugly work. The data isn't handed to you on a silver platter."

    Much of the learning data for the ML algorithms comes from applications like Tencent′s all-encompassing WeChat app, which is "Facebook, Twitter, iMessage, Uber, Expedia, Evite, Instagram, Skype, PayPal, GrubHub, LimeBike, WebMD, Fandango, YouTube, Amazon and eBay" rolled into one. Detailed information about a large proportion of China′s huge population resides in one place. And size matters when you're training neural networks.

    These factors, together with the Chinese government′s ability to squash any opposition to developments like driverless trucks, are all in the country′s favour as it seeks to become the dominant force in AI.

    Whichever power bloc ultimately takes the lead, the real challenge, says Lee, will be how to manage societies characterised by increasing inequality and the loss of up to 50 per cent of current jobs, many with no obvious alternative role for those that hold them, over the coming decades.

    11/10/2018 New AI-focused announcements from Nvidia and Huawei

    Graphics processing firm Nvidia has announced an open-source GPU-acceleration platform called Rapids which is aimed squarely at data scientists who need to crunch large volumes of data. Nvidia claims that for machine learning-type use cases Rapids has proved to be 50 times faster than CPU-only systems.

    Unveiled yesterday in Munich, Rapids is a two-year-old collaboration between Nvidia engineers and Python contributors, building on Apache Arrow, Pandas and Scikit-learn. It is released at rapids.ai under the Apache 2.0 open-source licence.

    "Rapids connects the data science ecosystem by bringing together popular capabilities from multiple libraries and adding the power of GPU acceleration." the firm says in its blog.

    Meanwhile, Huawei has unveiled two AI-focused chips of its own. "As part of its full-stack AI portfolio, Huawei today unveiled the Ascend AI IP and chip series, the world's first AI IP and chip series that natively serves all scenarios, providing optimal TeraOPS per watt," proclaims the company's press release. "Their unified architecture also makes it easy to deploy, migrate, and interconnect AI applications across different scenarios," it says.

    Alibaba, the "Chinese Amazon" which is investing heavily in AI capailities is also reported to be developing a new AI chip for release next year.

    10/10/2018 Apple buys machine learning firm Spektral

    Apple had kept its $30m acquisition of virtual reality (VR) firm Spektral last year a secret until Danish newspaper Brsen got hold of the story, reports Apple Insider.

    Spektral, whose founders have now joined Apple, was a startup specialising in computer vision, using deep learning techniques and GPU hardware to improve the real-time processing of images and video directly from the camera. Apple is known to be keen to get ahead in the field of augmented reality (AR), and Apple Insider speculates that this may be behind the acquisition. Apple recently changed the design of iPhone cameras to better support AR and VR it notes.

    10/10/2018 What's new in Spark and machine learning?

    Creating useful machine learning models is a tough job, but making models that are robust enough to support business processes operationally is far tougher still. This is why the web giants build their own platforms to support their data scientists and then engineers. Matei Zaharia and Andy Konwinski of Databricks told Computing about two open source projects that are designed to bring such capabilities to within the reach of mere mortals. ML Flow is a framework for standardising and packaging workflows and models, while Project Hydrogen improves the integration of popular deep learning frameworks such as Tensorflow and PyTorch with Apache Spark. Read the full story here.

    09/10/2018 Autonomous agents are the next phase of enterprise AI, claims Fetch.AI

    What if AI could take on complex negotiation tasks without requiring human intervention? This is where we are going next, according to Cambridge-based startup Fetch.AI, which recently partnered with Clustermarket, a booking platform for loaning scientific equipment. Using the system, instruments are represented by autonomous agents which navigate a virtual landscape seeking the best possible deal for themselves and optimising availability and price overall. Read more here.


    Okta, Inc. (OKTA) CEO Todd McKinnon on Q3 2019 Results - Earnings Call Transcript | killexams.com real questions and Pass4sure dumps

    No result found, try new keyword!Our professional services gross margin was negative 3.2% compared to negative ... Microsoft couldn't build every application, so they’ve built the Windows platform and then the app developer community ...

    Okta, Inc. (OKTA) Q3 2019 Earnings Conference Call Transcript | killexams.com real questions and Pass4sure dumps

    Image source: The Motley Fool.

    Okta, Inc. (NASDAQ: OKTA)Q3 2019 Earnings Conference CallDec. 5, 2018, 5:00 p.m. ET

    Please stand by. Good day and welcome to the Okta Third Quarter 2019 Earnings Call. Today's conference is being recorded. At this time, I'd like to turn the conference over to Ms. Catherine Buan, Vice President of Investor Relations. Please go ahead, ma'am.

    Good afternoon and thank you for joining us on today's conference call to discuss Okta's fiscal third quarter 2019 financial results. My name is Catherine Buan, VP of Investor Relations at Okta. With me on today's call are Todd McKinnon, Okta's Co-Founder and Chief Executive Officer; Bill Losch, the company's Chief Financial Officer; and Frederic Kerrest, the company's Co-Founder and Chief Operating Officer.

    Statements made on this call include forward-looking statements pursuant to the safe harbor provisions of the Private Securities Litigation Reform Act of 1995, including, but not limited to, statements regarding our financial outlook, our market positioning, and benefits that may be derived from our recent acquisitions. Forward-looking statements involve known and unknown risks, uncertainties and other factors that may cause our actual results, performance, or achievements to be materially different from any future results, performance, or achievements expressed or implied by the forward-looking statements. You should not rely upon forward-looking statements as predictions of future events. Forward-looking statements represent our management's beliefs and assumptions only as of the date such statements are made.

    In addition, during today's call, we will discuss non-GAAP financial measures. These non-GAAP financial measures are in addition to and not a substitute for or superior to measures of financial performance prepared in accordance with GAAP. There are a number of limitations related to the use of these non-GAAP financial measures versus their closest GAAP equivalents. For example, other companies may calculate non-GAAP financial measures differently or may use other measures to evaluate their performance, all of which could reduce the usefulness of our non-GAAP financial measures as tools for comparison. A reconciliation between GAAP and non-GAAP financial measures is available on our earnings release.

    Further information on these and other factors that could affect the company's financial results is included in filings we make with the Securities and Exchange Commission, the SEC, from time to time, including the section titled "Risk Factors" in the quarterly report on Form 10-Q previously filed with the SEC. You can also find more detailed information in our supplemental financial materials, which includes trended financial statements and key metrics posted on our Investor Relations website.

    Now, I'd like to turn the call over to Todd McKinnon. Todd?

    Thanks, Catherine, and thanks to everyone for joining us today. Before we begin the call, I'd like to take a moment to recognize this day of memorial for the late President George H.W. Bush. We honor his presidency and lifetime of public service to our country and our thoughts are with his family today.

    Our third fiscal quarter was another outstanding quarter for Okta, with total revenue and calculated billings both up 58% year-over-year. We continued to invest across our business while improving our bottom line. Operating margin improved over 22 points and free cash flow margin improved more than 18 points year-over-year, making us free cash flow positive for the first time.

    We also had a record quarter in terms of customer growth. We added over 450 new customers in Q3, bringing our total to over 5,600 customers. Even more exciting is the momentum with our largest customers. We saw 55% growth in customers with over $100,000.00 in annual recurring revenue, which represents a record 100 net new adds in the quarter.

    This momentum is an indicator that identity is an increasingly strategic imperative for organizations in every industry and validates Okta's approach to helping organizations manage all their identities through our independent cloud platform. As a reminder, we address two markets: workforce identity, the identities of employees, contractors, and partners, and customer identity, the identities of our customers' customers.

    We closed a number of significant deals in the quarter. I'll highlight a few of them.

    First, Hertz Global Holdings, a car rental company that operates in 150 countries, is an exciting new deal for us. The company chose Okta to securely connect all of its employees to the hundreds of applications they use to run their business. Hertz will use our workforce identity products, namely Okta Single Sign-On, Universal Directory, and Multifactor Authentication, to provide a better and more secure user experience for its associates around the world and reduce IT helpdesk and administration costs.

    Next, an international financial services company with over 750,000 members was a new customer identity and workforce identity win for us in the quarter. The company recognized that its outsourced identity solution lacked a full view of its customers and did not support its digital initiatives. They worked with Deloitte to find a single identity platform that could manage and secure both its members and employees. They selected Okta's customer identity products to provide personalized experiences for its members and our workforce identity products, including Single Sign-On, Universal Directory, Lifecycle Management, and Adaptive Multifactor Authentication, to streamline employee access to workforce applications.

    A noteworthy upsell in the quarter was the U.S. Department of State, who had initially purchased Okta for authentication for its more than 100,000 external industry partners, but will now expand to its entire workforce. The State Department evaluated multiple identity solutions to strengthen its security posture and support its transition to the cloud. We believe the State Department selected Okta as its enterprisewide workforce identity solution because of our credibility across the government sector to secure identities and digital assets across a wide variety of users and technologies.

    Okta Single Sign-On, Universal Directory, Lifecycle Management, and Adaptive Multifactor Authentication products will provide 170,000 State Department employees, contractors, and agency partners with secure, seamless access to web and cloud-based applications, such as Office 365, ServiceNow, Box, and AWS.

    We are very excited about the customer momentum in the quarter. Not only are we seeing more deals, we're also seeing broader adoption of our technology and we'll continue to innovate and expand on our platform. There are a couple of overarching takeaways I want to highlight from the third quarter.

    First, we are seeing traction with the investments we have made in our partner strategy. In particular, our partner ecosystem is growing significantly, as the awareness around identity is increasing and the space is becoming better defined. Meanwhile, large players, such as Deloitte and VMWare, have recognized Okta as a vendor of choice for identity solutions, which further enhances our positioning in these partner opportunities. We are pleased with our momentum in partner deals in the quarter, including the U.S. Department of State, and believe we are in the early innings of seeing upside from these relationships.

    And, second, we've continued to build out our Zero Trust security framework. Last quarter, I talked about our acquisition of ScaleFT as an important step in furthering our position in Zero Trust security. We believe that identity is the foundation for enabling Zero Trust security and we're encouraged to see that validated both by our customers and the industry.

    Last month, Forrester Research published its first-ever Wave evaluation of the Zero Trust security framework, in which Okta was recognized as a strong performer and earned the highest possible score in the criteria "People," "Workforce Security," "Vision and Strategy," and "Market Approach."

    We're very pleased with our consistently strong results and the momentum we're seeing and we think it's' being driven by several factors. We believe significant technology transitions are pushing the market in our direction. First, every organization we talk to is on a journey to the cloud. Second, they're thinking about how to become technology companies and better engage with customers online or through custom and mobile applications. And, third, security has become a priority at the highest level.

    As these transitions unfold, organizations are recognizing the critical role that identity must play in their environments. And while cloud, digital transformation, and security are top priorities, most organizations are still relatively early in their journeys to realize their full potential. We believe Okta's opportunity will grow alongside all three of these transitions as they continue to mature over time.

    The market is validating our belief that identity is the foundation for securely connecting people and technology and we believe that Okta is leading in identity and winning for a few important reasons.

    First, we have a fundamentally different approach to the space than our competitors. The Okta Identity Cloud is a completely independent and neutral cloud platform for identity. Because our business isn't tethered to the success of specific applications, customers appreciate that Okta will let them choose and continuously adopt the best technologies for their business. Our customers think of Okta as an independent platform that helps them future-proof their technology investments.

    Second is the Okta Integration Network. Because of the central role Okta plays for our customers, we strive to integration every technology those customers will want to use. With more than 5,500 pre-built integrations to cloud and on-premise applications and advanced integrations, the network security providers like Palo Alto Networks, security analytics providers like Splunk, and IT operations providers like ServiceNow, we believe the Okta Integration Network is our single biggest differentiator in the market.

    The breadth and depth of our integrations are critical, especially in this industry, because the kinds of capabilities that we offer are only as useful as the technologies they integrate with. Many of the reasons our customers love Okta are the result of our long-term and continued investments in innovation in the Okta Integration Network, reasons such as the speed of implementation, the ability to rollout applications in days or weeks versus months or years, the ability to address a very complex set of problems with a simple and intuitive solution, and the ability to keep pace with technology.

    And what we've seen as a result is a powerful network effect that is generating a ton of value for Okta, our customers, and our ecosystem of partners. As we integrate to more technologies, we become more valuable to our customers. As we attract more customers, technology providers become more incentivized to integrate to Okta.

    The third reason we're winning is that we're uniquely able to serve as the identity standard for our customers because we offer a single identity platform for every type of user in an organization's ecosystem, from their employees and contractors to their partners and their customers. Increasingly, we're seeing customers adopt Okta as this single standard and retire legacy infrastructure along the way, including both longtime customers, like Experian, Allergan, or Adobe, and new customers, like Major League Baseball, who recently presented at our Investor Day. They are able to manage and secure all of their identities in a consistent way from a single platform.

    The last thing I'll call out that sets us apart is our customer-first focus. We think of customer success in a much broader way than most technology companies, even most cloud technology companies. For most, customer success is about making sure customers are successful on your platform, that they're able to successfully implement it and use it. This is, of course, true for us as well. However, since Okta is an enabling platform for people and technology, it has to be more. Our customers buy Okta to make the rest of their technology even better.

    For example, many use Okta to automate provisioning from their HR systems to downstream applications. Even more use Okta to rollout applications like Office 365 to highly distributed environments. Their metrics for success aren't just about being successful with Okta, they're about being able to automate provisioning through Workday to improve employee on-boarding and off-boarding or being able to rollout Office 365 to large global organizations in a matter of weeks.

    These are the kinds of success stories we care about most and since we've done these kinds of implementations countless times, our customers are able to lean on our experience and expertise to ensure they're successful with Okta and the technologies we connect to.

    In summary, the market is being driven our way, as momentum in cloud, digital transformation, and security are all converging on identity. And we're winning because of our independent and neutral approach, the breadth and depth of the Okta Integration Network and our ability to offer one platform for every use case, and our customer-first focus.

    Thanks again for your time today and I'll now turn it over to Bill to walk through the financial results.

    Bill Losch -- Chief Financial Officer

    Thanks, Todd. And thanks again to everyone for joining us. I'll first go through our results for the third quarter of fiscal year 2019 before discussing our outlook.

    We had another strong quarter, with revenue totaling $105.6 million, growing 58% year-over-year. Subscription revenue totaled $97.7 million in the third quarter, an increase of 58% year-over-year, representing 93% of our total revenue, up slightly from 92% in Q3 last year. Professional services revenue was $7.9 million, an increase of 56% over the same period last year.

    Revenue from outside of the U.S. grew 58% year-over-year and represented approximately 16% of our third quarter revenue, consistent with Q3 last year. We continue to view our international business as a long-term growth driver and we are investing strategically to foster this incremental growth opportunity.

    Moving on to billings, the current portion of calculated billings growth for the quarter was 57% year-over-year. Total calculated billings for the third quarter totaled $124 million, an increase of 58% over Q3 last year. We were very pleased with our calculated billings growth and the underlying demand that continues to drive our business. Contributing to our high billings growth rate was better than expected bookings linearity in the quarter and the beneficial timing of certain invoices.

    Our growth has benefited from momentum of new customer additions as well as upsells within our customer base across all of our segments. The total number of customers at the end of the quarter was over 5,600, up 42% year-over-year, a slight acceleration from Q2. We saw broad additions across our enterprise customer base and added a record number of net new customers with annual recurring revenue greater than $100,000.00, up 100 from the previous quarter to 937, representing a 55% year-over-year growth.

    Our dollar-based retention rate for the trailing 12 months ended October 31st remained strong at 120%, demonstrating the ongoing success we are having expanding within our existing customer base.

    Before turning to expense items and profitability, I would like to point out that I will be discussing non-GAAP results going forward. Our GAAP financial results, along with the reconciliation between GAAP and non-GAAP results, can be found in our earnings release, as well as the supplemental materials posted on our Investor Relations website.

    Subscription gross margin continues to be strong at 82.2%, up 180 basis points versus the third quarter last year. Our professional services gross margin was negative 3.2% compared to negative 30.6% in the third quarter last year, primarily due to strong utilization and improving operational leverage. Total gross margin was 75.8% for the third quarter, up 380 basis points year-over-year. Gross profit was $80 million, up 66% year-over-year. Our gross margin represented a new record high as we continue to scale our platform.

    Turning now to operating expenses, sales and marketing expense for Q3 was $50.7 million compared to $43.7 million in Q3 last year. This represents 48% of total revenue, an improvement from 65% in the third quarter last year. This year-over-year improvement was aided by the expense impact due to the timing of Oktane, our annual customer event, which was held in Q3 of last year but in Q2 of this year.

    R&D expense in Q3 was $21.3 million compared to $14 million in Q3 last year. This represents a growth rate of 52%, as we continued to invest significantly in the Okta Identity Platform and our Okta Integration Network. At the same time, R&D as a percentage of revenue remained fairly consistent at 20% compared to 21% in Q3 last year.

    G&A expense was $14.5 million for the third quarter compared to $9.9 million in the third quarter last year. G&A was 14% of revenue, an improvement from 15% for Q3 last year.

    Our total headcount was 1,473 as of October 31st, growing 29% over Q3 of last year. We are adding headcount across the board to support the growth of our business and expect headcount growth to continue to accelerate in the fourth quarter as we further invest in our go-to-market initiatives and innovation across our platform capabilities.

    We remain focused on durable growth and as a result, we see continued improvement in our operating margin while maintaining strong top-line growth. Operating loss in the quarter was $6.5 million, which is a margin of negative 6.1%, compared to a negative 28.9% in the same period last year, a significant improvement of over 22 points. Net loss per share in Q3 was $0.04 with 109 million basic shares outstanding. This compares to a net loss per share in Q3 last year of $0.19 with 95 million basic shares outstanding at the time.

    Operating cash flow was positive $6.4 million in Q3. Operating cash flow margin was 6.1% compared to negative 14.2% in Q3 last year, an improvement of over 20 points. Our top-line outperformance and continued margin improvement resulted in positive free cash flow in the quarter for the first time. Free cash flow came in at a positive $1.4 million in the quarter. Free cash flow margin was 1.3%, an improvement of over 18 points compared to a negative 16.8% for Q3 last year.

    We are particularly pleased with this given the impact we saw with CapEx in the quarter due to our ongoing headquarter office expansion. While we are encouraged by our strong cash flow performance in the quarter, we continue to expect to see variability in free cash flow margin due to this expansion, along with ongoing fluctuations in working capital.

    Turning to the balance sheet, we ended the third quarter with $546 million in cash, cash equivalents, and short-term investments. This includes the net proceeds of $307 million from the convertible senior notes we issued in Q1.

    Moving on to guidance, for the fourth quarter of fiscal 2019, we expect: total revenue of $107 million to $108 million, representing a growth rate of 39% to 40% year-over-year; non-GAAP operating loss of $12.5 million to $11.5 million; non-GAAP net loss per share of $0.09 to $0.08, assuming shares outstanding of approximately 110 million.

    For the full-year fiscal 2019, we now expect: total revenue of $391 million to $392 million, representing a growth rate of 52% to 53% year-over-year; non-GAAP operating loss of $49 million to $48 million; non-GAAP net loss per share of $0.37 to $0.36, assuming shares outstanding of approximately 107 million.

    Although we are still early in financial planning for fiscal 2020, I would like to provide a preliminary view as you look at your models for next year. We currently estimate revenue for fiscal year 2020 to be between $510 million and $520 million, representing a growth rate of 30% to 33%.

    In summary, I'm pleased with our consistent execution and the results we reported this quarter. We remain committed to durable growth, as outlined at our Investor Day in October. We see this growth coming from customer momentum, partner channel traction, international expansion, and innovation in our platform and network. In particular, this quarter, we're excited about the continued traction we see across our partner ecosystem. We remain confident in our positioning and long-term strategy.

    As Todd mentioned, we see benefit from the market tailwinds that are elevating the need for identity. These tailwinds, in addition to the success we've seen with our leading platform, Integration Network, and customer-first approach, continue to put us in a winning position. We are excited about the opportunities ahead and look forward to closing out the year on a strong note.

    With that, Todd, Frederic, and I will take your questions. Operator?

    Questions and Answers:

    Operator

    Thank you. If you would like to ask a question, please signal by pressing "*1" on your telephone keypad. If you are using a speakerphone, please make sure your mute function is turned off to allow your signal to reach our equipment. Again, press "*1" to ask a question.

    And we'll take our first question today from Sterling Auty with J.P. Morgan.

    Sterling Auty -- J.P. Morgan -- Analyst

    Yeah, thanks. Hi, guys. I believe Microsoft Azure Active Directory had a couple notable outages in the recent past here and I'm just wondering if that's actually changed the conversations or the number of discussions driving more interest in your solution or is it even having an adverse effect where companies are perhaps nervous about identity in the cloud?

    Todd McKinnon -- Co-Founder and Chief Executive Officer

    Hey, Sterling. It's a good question. We're having so many conversations with so many customers and they all kind of follow the same key, big trends. One is just customers need help adopting more cloud. They're thinking about apps -- Office 365, Google Apps. They're thinking about infrastructure -- Amazon, Azure. They're thinking about business apps -- Salesforce, Workday, ServiceNow.

    And the reliability, as you mentioned, is one thing but there's just a whole host of things they're trying to figure out. And they're trying to figure out security, to make sure these apps are accessible and secure. They're trying to figure out how to get the most business benefits out of it. And they are increasingly realizing that identity is the key to a lot of that. If you want to do secure deployments, if you want to do quick deployments, if you want to do deployments that will get the business benefits, you have to have your identity story straight.

    Vis a vis Microsoft, specifically, one thing that's interesting is that, because of our breadth of customers, now over 5,600 customers, and many, many of those customers using some technology from Microsoft, we actually get visibility into the reliability of Microsoft's products. So, we actually -- it's not just in conversations with customers or prospective customers, but it's conversations with existing customers, talking about what was the extent of this outage, can you understand how broadly the impact was.

    So, we're able to help customers understand the breadth of some of the technology choices they are using and the pros and cons and that's the benefit of being this independent and neutral platform. So, I would say it is something we see but in the grand scheme of things, it's one of the many conversations we're having.

    Sterling Auty -- J.P. Morgan -- Analyst

    All right. Great. And then one quick follow-up on Zero Trust. How should we think about what portion of the Zero Trust architecture that Okta will ultimately provide? And I guess what I'm thinking about is it seems like, in some of these models, you'll have some of the cloud gateway companies playing a role as well. So, is that an area where we should look for increased partnership from Okta moving forward?

    Todd McKinnon -- Co-Founder and Chief Executive Officer

    It's a good question. So, Zero Trust is the term in the industry these days -- it's a fairly recent term in the industry -- which basically means don't trust the network. Give the user the same experience regardless of whether it's an internal network or a network from home or a network from a coffee shop. Give them the same experience. Same great ease of use and, most importantly, same great security.

    So, many times, customers aren't asking for Zero Trust, per se, they're asking for, "How do you make this all secure?" And they're saying, "We love the cloud. We're trying to build better customer-facing applications but security is paramount and we need help securing that all." And what they're increasingly realizing is that identity is the key to that. You have to control identity to give a really great user experience and a secure user experience.

    So, now Zero Trust is the industry trying to put a design pattern in place around what this truly looks like and what are the different components you need and what do you need on the client. What do you need on the device? What do you need in terms of, as you mentioned, gateways and other things? And people have different opinions but one thing that's becoming very clear is that you have to have identity covered well and you have to have a good identity backbone to do security and to do Zero Trust.

    So, I think what you'll see is -- and you see it in our results -- that identity is prevalent and pervasive, especially as customers do more cloud and want to be more secure. And then the actual details of that, whether you need a gateway or how the VPNs fit in, those details will be figured out over time but identity is going to be at the core.

    Sterling Auty -- J.P. Morgan -- Analyst

    Got it. Thank you.

    Operator

    Next we'll hear from Terry Tillman with SunTrust.

    Terry Tillman -- SunTrust Robinson Humphrey -- Analyst

    Hey, good afternoon, everyone. Thanks for taking my questions and great set of results. Maybe the first question because we heard a lot in your all's prepared remarks about partner momentum. I know earlier in the year it looked like you all kind of refined your partner program with Partner Connect and maybe redesigned it. So, I don't know if some of that's behind kind of this amped up success with partners but maybe you could just talk about some of the things, structurally, you've been doing around partnering. And then maybe, more specifically, VMWare and Deloitte, a little bit more specificity in terms of the momentum with them.

    Frederic Kerrest -- Co-Founder and Chief Operating Officer

    Yeah, absolutely. Hi, Terry, this is Frederic. Happy to talk about that. I think you bring up a very important point, which is the importance of partners in our business. It's something we've obviously been working on for a number of years. These things are not things that you can just turn on overnight. I think you highlighted a couple of examples of some of the big categories that I would point to and that we see a lot of momentum growing in our business.

    The first one are the global system integrators. You mentioned Deloitte, but also some of the other folks that are out there as strategic advisors and implementers to large enterprise and public organizations. Deloitte is doing very well. I was just, actually, in Europe last week with a number of our customers opening up our Franc office and had an opportunity to speak with some of the senior partners there and they're as excited in Europe as they are in North America to work with us, both on the security implementation side but also on the large digital transformation projects that they want to be involved with.

    The second piece are very large technology partnerships that are starting to come into play. Again, you mentioned a very important one, VMWare. For those of you who might not remember all the details, we announced an important partnership that we started last May at Oktane with VMWare with first technology and business integrations between our teams. We furthered that at VMWare's VMWorld and VMWorld Europe in Barcelona in early November, where we talked about the second level of technology integration, as well as extending that partnership out to VMWare's channel. And, again, in Europe last week, I heard from a lot of folks in the VMWare channel who were very excited about this partnership, as well as customers and prospects excited at seeing us work with such a large and important company and an important piece of technology for them.

    And then, finally, I would just point to the Okta Integration Network, which continues to be the de facto standard in the industry for the best and broadest, deepest integrations across thousands of not only applications, but pieces of infrastructure, networking gear, and everything else, with dozens of advanced integrations that are really benefiting our customers, where they find these solutions, end-to-end, drive a lot of value.

    So, we are seeing a lot across all the different pieces of our partner ecosystems, which we continue to invest in, but like our business, these are early days and the opportunities ahead are very large and we're excited to keep building upon these results.

    Todd McKinnon -- Co-Founder and Chief Executive Officer

    Yeah. And I would add, Terry, that the programmatic things that Freddy talked about are very important but one thing I've noticed is that the business results we're showing are really motivating the partners. So, if you talk about 100 new deals over $100,000.00 in ARR, partners notice that as well and they want to be on board with the latest trends and the leader in this industry. And the business success and the momentum in the market has driven the partner momentum as much as anything else we've done programmatically.

    Terry Tillman -- SunTrust Robinson Humphrey -- Analyst

    That's great. Thanks to both of you for the answer. And I guess just my quick follow-up is on ThreatInsight. Todd, I know earlier in the year, you all kind of unveiled kind of where you could go with all this analytics horsepower. It looked like the way some of this could work is you have to buy the higher price point, the SSO or the MFA product, to get access to it. But what can you just do in terms of an update on ThreatInsight, how it's being received, and just where you are with that? Thanks again.

    Todd McKinnon -- Co-Founder and Chief Executive Officer

    ThreatInsight, essentially, it's really important for the value it delivers to customers and it delivers value in a way that's pretty special. Because we see so many customers and so many logins, we can detect threats across the entire ecosystem and then we can expose that threat intelligence back to individual customers and let them configure policies in Okta that would make certain decisions based on those threats that are relevant to an individual customer. So, because we see the data, we can make the product more valuable for individual customers and it's one of the benefits of being on the cloud platform.

    ThreatInsight is going very well. We are continuing to roll it out and uptake has been very positive. We're working with getting a lot of feedback from customers, not just on ThreatInsight but in the overall policy engine and continuously innovating around the capabilities, as we do for all of our features. We have this model, this cloud model, which allows us to continuously release features and functions but also the data changes all the time. So, as threats emerge, it's updated in real-time in ThreatInsight. So, it's a very powerful capability that's being well-received by the customer base.

    Operator

    Mr. Tillman, do you have anything further?

    Terry Tillman -- SunTrust Robinson Humphrey -- Analyst

    I think I've taken enough of their time. Thank you.

    Operator

    Thank you. We'll now hear from Alex Henderson with Needham.

    Alex Henderson -- Needham & Company -- Analyst

    Great. Thank you very much. I was hoping you could talk a little bit about the competitive landscape relative to Cisco's acquisition of Duo and to what extent you're seeing any change in the behavior of customers that they've been associated with or to what extent, as you're going through your competitive processes, you are taking more business from that channel or any change in that dynamic?

    Todd McKinnon -- Co-Founder and Chief Executive Officer

    We haven't seen a change. The big picture is that there are a lot of deals. I mean, the market is really accelerating. There are a lot of deals. And the overall competitive trends are very consistent with what we've seen. Our win rates have been consistent for several years with respect to all the competitors.

    The competitors are different. It's very different when you're competing with someone like a Microsoft, where the dynamic is, customers, they really don't want to be locked into Microsoft. They're worried about lock-in to a certain platform, particularly Microsoft. So, there, it's about this broad identity platform that can support multiple technologies, give the customer choice and freedom from any kind of being driven down a certain path. That's powerful to them.

    Different competitors are different. So, maybe a legacy competitor, it's all about a product set that's not being updated or not being migrated to the modern environment and they see us as their pathway to the future, their pathway to the cloud, their pathway to digital transformation. Or a point competitor, maybe that just doesn't have the breadth of coverage and can't get into deals and can't cover the field. Or maybe it's just more of the niche solution, not a broader platform.

    So, I think, back to your question about Duo and Cisco. First of all, you asked the question about competitive but I would first say that we are very strong partners with both Cisco and with Duo. Duo, we have a seamless integration with Duo on our platform. We have a very seamless integration with Cisco, their firewall products. So, we're very, very happy with those partnerships and those continue to be productive.

    On the competitive side, we do have some product overlap with Duo and we continue to compete with them. And I think it's natural that you're going to see, any time there's a big acquisition like that, you're going to see some disruption, in terms of the execution of them independently. And I think we are seeing that to some degree. But we think that the partnership will continue and where we compete, we'll compete, and the environment will be consistent over time. And the big picture, there's a lot of value to be created for customers and we're busy trying to capture and deliver that as much as possible.

    Alex Henderson -- Needham & Company -- Analyst

    Just one broader question. So, clearly, as we're moving to a world where the center of gravity of security is moving out of the enterprise and into the cloud, the architecture of security delivery has to change. And I assume that no single company is going to be able to provide the full platform. In that environment where we're federating multiple security clouds together, does Okta end up being the primary connective tissue between them? And if that's the case, what role do you play in the policy piece of that?

    Todd McKinnon -- Co-Founder and Chief Executive Officer

    Well, I think, if you think about the definition of the word "platform," at least how we think about it, a platform, by definition, is a set of underlying capabilities that then other people build on top of to provide the full set of value to the ecosystem. So, if you think of Windows, Microsoft couldn't build every application so they built the Windows platform and then the app developer community built all the applications. If you think about -- there's other examples -- iOS, right? Apple couldn't build all the apps into iOS so they opened up this platform and the app store and then developers built it.

    So, when you say the entire security ecosystem, we absolutely agree. We think that no one company can build it all. It's all about choice for the customers. But then you get down to what is the platform and what is the right thing to pivot off of to be the basic thing you need to have a handle on but then other people could build around? And for us, that's identity. We think by being the system of record for identity, we can be the foundational platform and other people can build around us. So, the way we think about the world is we're the identity platform and then all these other adjacent categories will plug into us and provide the "applications" for our platform. So, that's how we think about the world. And if you think about looking at how we're investing in the product, it's consistent with that.

    Frederic Kerrest -- Co-Founder and Chief Operating Officer

    I think, Alex, just to add on that, you see that also from a customer perspective. I mean, what they say is they're very excited about a lot of the advanced integrations that we have in the Okta Integration Network because it allows them to leverage the investments that they've made -- for example, in Palo Alto Networks -- get it pre-integrated with Okta and that way they can get more value out of both of the solutions. The Palo Alto Networks firewall can talk to Okta and back and forth. So, you actually get more information by connecting them.

    In fact, we have a number of -- and I see this more and more with our large enterprise customers. A good example is a large financial institution, I think in Texas, was the first one to do this. They are now actually writing into all of their new technology contracts that the solutions they're buying must be pre-integrated to Okta. So, what you're getting is not only the existing technology vendors know that they need to partner but the next generation of security vendors are coming to us and saying, "Clearly, you're the new identity standard. This single identity platform, it's foundational. We want to make sure we're pre-integrated to it." And you really see that flywheel spinning, which I think is going to be very exciting for customers' success in the times ahead.

    Operator

    Next, we'll hear from Richard Davis with CG Financial.

    Richard Davis -- Canaccord Genuity -- Analyst

    Thanks. So, maybe I'll take a remix on Sterling's question a little bit. So, when do you guys think we're going to get to the point where you and maybe another modern security vendor or two will allow chief security officers to save money and kind of de-provision or stop spending on security systems that -- when I talk to these guys and gals, they're just like, "We know we're over-insuring with stuff that's repetitively redundant," so to speak. Do you think there's a point where we get to that point? Where you can walk in and go, "Look, it's a hard $1.00 ROI. You can cut off six different things." Thanks.

    Frederic Kerrest -- Co-Founder and Chief Operating Officer

    I think that's an interesting question. From our perspective, it's about the choice, right? And it's about the choice to pick the apps, the infrastructure, the platforms, the security tools that are best for the customer. I think in some cases that's a consolidation of spend around certain vendors. In some cases, it's branching out into new areas for some business drive or business growth. I think that the flexibility customer needs -- I think, as many customers I talk to that want to consolidate and cut down on vendors, many more are branching into new areas and want to expand. So, I think it's got to have flexibility to go both ways.

    But I do think that you have to -- and I think you see this in all the super successful companies. You have to manage something that is something that the customer can pivot around, whether it's -- with us, it's the person and the identity. With other vendors, it's different things. But we're very confident that our strategy of being the system of record for identity is the right strategy and give customers the flexibility to take the technology in the way it needs to be best for them.

    Richard Davis -- Canaccord Genuity -- Analyst

    Got it. And then just a quick follow-up. So, we've seen identity management kind of evolve from password reset companies to multifactor to adaptive MFA. So, have you guys ever said how much penetration the -- whatever, the highest part of Maslow's Hierarchy of Identification is there? Is it 10%? Is it 5%? I mean, I know you're at the foothills. Have you looked at that on that basis at all or not?

    Frederic Kerrest -- Co-Founder and Chief Operating Officer

    I think it's -- I don't have the numbers. I think it's -- my impression from customers I talk to and so forth, the super sophisticated machine-learning driven is very, very rare. I think most customers are trying to get things integrated and get the right security policy on the right resources. I think the promise is, longer term, more autonomous, more machine learning type things, kind of the truly adaptive for everything. But most customers just want the flexibility to connect all their technology and then do policies appropriate for the right resources based on the risk level. And I think that people know it's a good idea. The reason it's hard is because stuff's not integrated. And one of the things we're doing is trying to bring that pre-integrated approach to it with the Okta Integration Network. And we think if we can integrate everything, we can give customers basically a fighting chance to do the right policy on the right resources and that's going to make things much better, in terms of ease of use for the users but also for security.

    Operator

    We'll now hear from Heather Bellini with Goldman Sachs.

    Heather Bellini -- Goldman Sachs -- Analyst

    Great. Thank you so much for the question. I had two for you guys. I guess the first one would be you continue to just have a really good improvement in the net new customer count with over $100,000.00 in spending. Ninety last quarter, 100 this quarter. Is something changing in terms of the number of products they might be purchasing upfront for the first time? Is it potentially that they're just doing larger deal sizes of a single product than maybe what you were seeing before? I just was wondering if you could give us some color there.

    And then I had a question. I know someone asked about some of the issues that Microsoft had over the last few months. But I was more wondering, when you see headlines like the one with Marriott last week, does that ever -- do you see breaches like that ever causing kind of a spike in deal activity or at least RFPs for you guys? Thank you.

    Frederic Kerrest -- Co-Founder and Chief Operating Officer

    Thanks, Heather. I'll take the first question regarding what we're seeing in that momentum. I think it's a couple of things. First of all, obviously, we're very fortunate in that we're addressing two large markets: workforce identity management and customer identity management. So, what you see is you see customers that can now start in either of those large two markets with any of our five different products. And as you start working with larger and larger organizations, whether they're governmental organizations or private companies, they find more and more ways to use the product. So, they could start, for example, with Multifactor Authentication for a customer situation and then they could find ways to deploy it internally for workforce. So, there's a lot of points where they can land and expand.

    No. 2, I think you're starting to see us just -- there's a natural momentum between, as we roll out 40 new releases a year in our agile software development model, there's a lot more features and functions coming all the time and there are more and more advanced use cases we can help customers address. At the same time, you're starting to see larger and larger enterprises turning around and saying, "We are going to have a cloud-first approach." Last week when I was in Europe, I remember meeting with a large utility a couple of years ago and they said, "We're never going to have anything in the cloud." And that same utility, one of the largest utility companies in Europe, started the conversation last week with, "We now have a cloud-first mandate across the business."

    And so you're just seeing much larger organizations saying we have to get on this journey to the cloud. We have to undertake a digital transformation. And so the convergence of us being able to provide more solutions for them and the enterprise finding more and more ways to leverage the service, I think is what you're starting to see drive those results. By the way, that's the same reason that organizations like Deloitte are finding more and more interest in working with us because, obviously, they're working with the largest organizations in the world. What I would say, though, is it's very early. So, I think that, in this transformation, our best days, by far, are ahead of us in helping these large enterprises. We're very happy with the results we have but I think that it's going to be very exciting in the times ahead.

    And then on the second piece regarding Marriott specifically. We can't point to anything this week, where there are more inbound phone calls from organizations looking for that. Certainly, it is unfortunate whenever you read one of those headlines for those organizations because it's a very tough position to be in.

    But, yes, I think it highlights a couple of things. First of all, it highlights the fact that every company has to think about how they're going to modernize their technology and how they're going to prioritize security in a new way. Whether you're a high-tech company, whether you're a retail company, whether you're in the hospitality industry, it applies to every organization.

    No. 2, I think it also highlights what we all know, which is there's a significant dearth of advanced software developers in the world, in North America, and specifically in security, and you can imagine that for a lot of these large companies, it's hard just to attract all of these advanced security software developers to their company.

    And then, finally, identity is only now starting to become the center. People are now starting to come around to the fact that it is so critical. But it's take a while and, certainly, a lot of these companies have had these resources available. So, Marriott's been out there with their programs for many, many years. Now it's time to modernize them.

    I think I would just point to what we just said with the Albertsons customer press release that went out today as well. A very good example of a company that's been around 80+ years. They've had loyalty and rewards programs for a long time. But they realized it's time to modernize and so they started working with us a couple of quarters ago and today there's 30 million consumers accessing Albertons, Safeway, and all of their customer identity management resources on a weekly basis. I think those are the kinds of trends that you're going to see more and more of in the times ahead and, certainly, we think that we're very excited about the opportunity to help a lot of customers with those opportunities in their businesses.

    Heather Bellini -- Goldman Sachs -- Analyst

    Great. Thank you very much.

    Operator

    Next, we'll hear from Shaul Eyal with Oppenheimer.

    Shaul Eyal -- Oppenheimer -- Analyst

    Thank you. Good afternoon, guys. Congrats on another set of strong results. I want to actually touch on --

    Todd McKinnon -- Co-Founder and Chief Executive Officer

    Thank you, Shaul.

    Shaul Eyal -- Oppenheimer -- Analyst

    Absolutely. Absolutely. I wanted to ask about some of the clients and contract announcements you've made, probably starting with Albertson. It appears to be a sizable customer. I think you indicated 30 million customers/users, from their perspective, interacting on a weekly basis. Was that a displacement? Probably not but just want to hear your thinking about it. And also maybe talk to us, Todd or Freddy, about the process, maybe the timeframe it took from POC to PO and probably what are the other long-term opportunities you can see with this specific client? And then I have a question on the State Department contract. Thank you.

    Frederic Kerrest -- Co-Founder and Chief Operating Officer

    Yeah, absolutely. Thanks for the question, Shaul. I'll start with Albertsons. So, your first question was about what we displaced there. I mean, Albertsons, like a lot of large organizations, has been built up over the years through M&A. Right? So, if you look, they have, today, dozens of different properties in food and drug retail. And so as these different organizations have evolved and as Albertsons has rolled up more and more of these different brands, each of those different companies has come with their own set of infrastructure. So, in fact, there was legacy infrastructure but not just at Albertsons proper. At Safeway and at all the other brands. And so what you have is this sprawl where they have many different installations. Some of them might be homegrown. Some of them might be a CA. Some of them might be an Oracle or IBM.

    And so what happens is you, as an end customer, it's a bad experience for you because you might have an Albertsons login and a Safeway login. You don't get the value across both of them. They don't know what you're doing. And then at Albertsons, obviously, they want one view of you so they know where you're purchasing across all their properties, both on the web, on the mobile, physically inside the stores. And so by transforming across all those different pieces of on-prem infrastructure, moving to a centralized cloud platform like the Okta Identity Cloud, putting all of those different resources inside one central database -- they're using our Okta Universal Directory -- and allowing their customers to have a much more seamless experience, it's enhancing the customer experience. But also, obviously, on the back end, providing Albertsons with much better visibility into what their customer is doing across all these different properties. And that is the true value.

    So, absolutely, we did displace legacy technologies but it wasn't just one piece. It was, undoubtedly, many pieces that they were having a lot of trouble federating because they've been around for 10, 15, 20 years and inside different data centers and it gets very, very complicated.

    On your second question around the time to work with the customer, I think you'll probably be pleasantly surprised. Albertsons has been a customer of ours for less than four quarters. I can go back and look exactly but, certainly, I think it was since the beginning of this fiscal year where they signed up. And I think that time to value is something that you really only get with a modern cloud platform. The fact that they were able to rollout 30 million customer visits on a weekly basis across all these different myriad properties, both physically, both on the web, on mobile applications, and the fact they were able to do that in a matter of a couple of quarters, that's how you get this customer success.

    And it's because of the foundational platform that we have in there that you start seeing -- they get very quick ROI. The TCO is easily understandable. And very quickly, they go from us helping them solve one specific problem, where we become then the identity standard and we become pervasive across their entire organization. And identity really becomes this foundational platform they get a lot of comfort around and they can build on. So, that's specifically around Albertsons.

    I believe you also had a question -- you said a follow-up question around the State Department?

    Shaul Eyal -- Oppenheimer -- Analyst

    Freddy, thank you. This is really great, great color. And probably on the State Department, that comes under the federal vertical. Talk to us a little bit maybe specifically about this product, this contract, but also how do you see the opportunity on the federal vertical and what are you guys doing to probably accelerate that? Without a doubt, I would imagine such a contract should entice and accelerate the appetite to do much more. You get the State Department, you know these guys, they all talk to each other, you can get a great reference here and the sky could potentially be the limit here in the federal vertical.

    Frederic Kerrest -- Co-Founder and Chief Operating Officer

    I certainly hope that you're right, Shaul. So, we're working on that every day. In the meantime, I'll give you some specific details around that. Look, I think public sector, very much like the question around partners earlier on the call, this is not something you can turn on overnight. I mean, this is something we've been working on with a federal team in place, I think, coming over three years now. It's not just at the federal level but we do very well at state and local. And, again, you see all sorts of organizations seeing these major imperatives of the journey to the cloud and how they're going to become technology companies.

    I think when you think about public sector, and the U.S. State Department is one example -- it's a good one, but it's just one example -- certainly, the federal fiscal year ends in September, which coincides with our Q3 which is why we're not terribly surprised to see some good business from the federal sector as they wrap up their year and they look to the year ahead.

    But I would highlight that we've been working on a lot of the underpinnings for our platform and to make it viable and a good, strong, viable, secure, reliable, scalable performance solution for the government agencies for a long time. For example, we have been HIPAA compliant for quite some time. We are now already FedRAMP Moderate, certified on the platform. And we also have native support for things live PIV and TAC, which allows the government to use a lot of our Okta workforce products.

    And then, finally, you see a lot of big initiatives that are happening inside the government. For example, the have the Modernize Government Technology Act, which establishes funds to improved federal technology. You also have the White House, which is pushing this cloud-smart strategy, which anything that can go to the cloud should go to the cloud. And I think these are just some of the examples of what you see. And, obviously, we're very fortunate that we can help these organizations make those moves and we're very happy with the success we've had.

    But, again, I think the opportunity in the times ahead is very good. Over the last couple of years, you've seen us work more and more with government agencies, organizations like the Department of Justice, the Center for Medicare and Medicaid Services, and now the State Department. So, certainly, we're starting to get good traction. It's important to make these customers successful, which we do, but we're very excited about the opportunity ahead and I think it's, again, very early days and we're excited about what we can possibly do in this segment.

    Operator

    Next, we'll hear from Pat Walravens with JMP Securities.

    Patrick Walravens -- JMP Securities -- Analyst

    Great. Thank you very much and let me add my congratulations. Hey, Todd, can you walk us through, just sort of at a high level, the steps that you're taking to make sure bad guys don't breach the Okta network?

    Todd McKinnon -- Co-Founder and Chief Executive Officer

    Yeah. I mean, it's a big focus for us. First of all, the main thing that customers -- when customers think about Okta, the main thing that they are trying to solve for is combining both ease of use for their end users and security for their own applications and services. So, they see Okta as a way to make their own technology more secure. And whether it's making sure that accounts are provisioned at the right time, making sure that the right people actually have access to the right services at the right time, making sure that there's the right amount of authentication, whether it's a single password, whether it's multifactor, whether it's a certain policy, all that makes a tremendous amount of improvement in how things are easy to use and then how things are secure. And if they're building a customer-facing site or mobile app, you're doing all of that while, at the same time, increasing their time to value and the productivity of their developers that they have to spend and build that thing.

    So, obviously, the foundation of all that is that the Okta service itself is secure. And that's what we've hung our hat on. And by investing a tremendous amount in the basic architecture, the processes and procedures, the technology reviews, the redundancy, it's something that it has to be built in from the ground up. It has to be consistently followed for years and years and years. It has to be part of the culture. It's something that's very, very hard to replicate.

    And it's not only a technical thing but it's also a communication thing. And we have this conversation with customers. And so there's a customer that's learning about us for the first time or whether it's a customer that's expanding their usage with us, we're very good at talking to them about this in a very open and transparent way so they can understand what we do. They can understand how we mitigate risk and they can understand why it's kind of hard to replicate and something that's very valuable to them as they try to transform their technology.

    Operator

    Next, we'll hear from Gray Powell with Deutsche Bank. Mr. Powell, your line is open. If you are using a speakerphone --

    Gray Powell -- Deutsche Bank -- Analyst

    Sorry, can you hear me?

    Operator

    Yes, we can hear you now.

    Todd McKinnon -- Co-Founder and Chief Executive Officer

    Hey, Gray. Loud and clear.

    Gray Powell -- Deutsche Bank -- Analyst

    All right. Hey. Thanks. Yeah, I'll be quick. So, it definitely seems like you all have seen an uptick in the adoption of MFA this year. Just ballpark, where do you think overall industry adoption is or what stage do you think it's in? And then how do you feel about the growth of the product set over the next 12 months versus the last 12? Thank.

    Todd McKinnon -- Co-Founder and Chief Executive Officer

    I think Multifactor Authentication is -- the stage it is is that everyone knows it's a good idea. I think it's still too hard to roll out, in general. I think we're trying to make it easier by making it pre-integrated, by connecting it to our policy engine, by delivering it as a cloud solution. So, we're getting better but I think there's a lot of -- the industry as a whole has to move from "everyone knows it's a good idea" to having kind of this broadly deployed multifactor connected to a policy engine and we're trying to help.

    I think product innovation is critical to us and we're very excited about what's ahead for us in terms of product innovation and releasing new capabilities. And we're going to have -- I encourage everyone to stay tuned. We have our customer conference coming up in just three and a half months and we'll have a ton of announcements there.

    Operator

    We'll now hear from Jonathan Ho with William Blair.

    Jonathan Ho -- William Blair & Co. -- Analyst

    Hi. Good afternoon. I just wanted to start out with maybe the international opportunity and maybe where you see the most opportunity to leverage investments, as well as maybe how the challenges differ in the international markets.

    Frederic Kerrest -- Co-Founder and Chief Operating Officer

    Yeah, sure. Hi, Jonathan. Nice to hear from you. Happy to chat a little bit about that. I think the first thing is we're very excited about the opportunity in international and I think that you're starting to see the results speak for themselves. That business is growing and it's growing fast. I think there's a lot of opportunity, in terms of not only the customer interest for what we do but also in working with a lot of these channel partners because those markets are much more fragmented. Obviously, you have dozens of countries in Europe. Asia Pacific is the same.

    And so to the question about partners that we had earlier, one of the things that we've spent a lot of time on over the last 12-24 months is really making sure that we have the right partner programs with the right incentives making it very easy for our partners to adopt our products and help distribute them in the market. I think you're going to see more and more of that. We've also, historically, made the right investments ahead of time that I think are now bearing fruit. So, for example, we have had data centers in Europe where they can sail over data to a second data center in Europe without ever coming to North America. That's a solution that's been out there for quite some time. We're in the process of implementing the same in Asia Pacific to, again, give customers the comfort that they can keep their data in region if they're interested and, again, with very high levels of control, security, reliability, availability. And I think some of those things are very important.

    At the same time, you've also seen us continue to invest in expansion of our offices. Our office in London has continued to grow over the last four or five years and we've continued to take on more office space there with opportunity. I mentioned that we opened, formally, our Paris office last week. We've had an office in Sydney for some time and we're continuing to invest there. So, I think the opportunities in international are early. They're exciting, they're big, and they're huge opportunities for us in the years ahead.

    Operator

    Our final question will come from Rob Owens with KeyBanc Capital Markets.

    Rob Owens -- KeyBanc Capital Markets -- Analyst

    In under the gun. I kind of feel like now I can take as long as I want too. Good afternoon, guys.

    Todd McKinnon -- Co-Founder and Chief Executive Officer

    The floor is yours, Rob, the floor is yours.

    Rob Owens -- KeyBanc Capital Markets -- Analyst

    I want to drill down a little bit into the international financial services win, both on the workforce ID side and the customer ID side. Just, relatively, where are you getting more dollars? Is it on the workforce side or the customer side, as you see some of these guys bite on both sides of the apple?

    Frederic Kerrest -- Co-Founder and Chief Operating Officer

    Yeah. Happy to talk about that, Rob. I think one thing we should talk about is what's happening today and then I think we should talk about the trends and what we see happening in the future. Look, today, and as evidenced by our business, we started with workforce identity management. So, we're coming up on wrapping up our tenth year of business, which is great. Our first five years of business, we basically only had a workforce identity management product.

    Now, why is that? Well, workforce identity, formerly known as enterprise identity, is something that's well known. It's been in the industry for 20, 25 years. Legacy software vendors, Oracle, IBM, CA, have had solutions here for the days of homogeneity when you were an IBM shop or an Oracle shop. And so it was a well-understood need as we came into the market. So, if you look at our first 1,000 customers, all they could buy, actually, was workforce identity. Now, that's great and that's going to continue to grow and that's a big market and we're barely scratching the surface and you're going to see more and more workforce identity business in the years ahead.

    What's happened over the last few years is customers have started to say, "Hey, I built this customer identity management infrastructure myself in the past. It's getting complicated." We talked about examples like Marriott. Security is important. Password reset flows, registration across devices, multiple email addresses. These are very complex pieces of technology for companies to build themselves so they've started using solutions like what we have, the customer identity and access management in the Okta Identity Cloud. So, it is a newer part of our business. Right? Also growing very quickly.

    But what's exciting is, in the times ahead, if you think about a large organization like Dignity Health, which is a customer of ours, we can help them with their workforce, obviously, which is tens or maybe hundreds of thousands of employees in certain cases. We have a set of products that are very well-suited. There's a lot of use cases for them. But on the customer identity side, as they put more and more online, as they digitize more and more of their business, there's more and more constituents that an organization like Dignity Health needs to interact with.

    For example, they could have patient portals that you and I go and pay our bills on. They could have physician portals, where physicians come and get information on patients. They could have vendor or supplier portals, where they talk about their supply chain. So, whereas an organization could have one large workforce opportunity for us to help them with, they could start to develop more and more of these customer identity management opportunities as well. And that's why I think you see that people have very good ideas on how large the market is for workforce, which is very large, and they're starting to develop those ideas around customer identity management.

    So, that's a long-winded way of saying, today, customers can land with either workforce or customer identity with either of our five products. They find ways to cross-sell and upsell themselves because of our very high customer dollar base net retention rate of 120%. But in the times ahead, I think it's a toss-up on which of these two large markets are going to continue to grow faster. A lot of opportunity and, obviously, we want to be there to help the customers with either one. It's certainly something that we're going to continue to keep an eye on in the times ahead.

    Operator

    That will conclude today's question-and-answer session. I will now turn the conference over to Todd McKinnon for any additional or closing remarks.

    Todd McKinnon -- Co-Founder and Chief Executive Officer

    So, we appreciate the time today. We are excited about our progress this year but the most exciting thing for us, I think, is that we're still very early in these big trends. This trend of cloud adoption, we've been talking about it for a long time but when you look at organizations around the world, whether they're large companies, governments, international markets, cloud is a big transformation that's going to take many, many years ahead. And we're going to be there to help customers along the way. Same with digital transformation. That's a continuously evolving thing and we're very excited that identity is the core of that and it's going to be a growth driver for years ahead. And, finally, security just is timeless. So, while we're excited about the results, we're more excited about the future potential and working hard every day to make sure we capitalize on this. So, thank you very much for your time and we look forward to seeing you on the road or talking to you on the next quarterly call.

    Operator

    That will conclude today's conference call. Thank you for your participation. You may now disconnect.

    Duration: 67 minutes

    Call participants:

    Catherine Buan -- Vice President of Investor Relations

    Todd McKinnon -- Co-Founder and Chief Executive Officer

    Bill Losch -- Chief Financial Officer

    Frederic Kerrest -- Co-Founder and Chief Operating Officer

    Sterling Auty -- J.P. Morgan -- Analyst

    Terry Tillman -- SunTrust Robinson Humphrey -- Analyst

    Alex Henderson -- Needham & Company -- Analyst

    Richard Davis -- Canaccord Genuity -- Analyst

    Heather Bellini -- Goldman Sachs -- Analyst

    Shaul Eyal -- Oppenheimer -- Analyst

    Patrick Walravens -- JMP Securities -- Analyst

    Gray Powell -- Deutsche Bank -- Analyst

    Jonathan Ho -- William Blair & Co. -- Analyst

    Rob Owens -- KeyBanc Capital Markets -- Analyst

    More OKTA analysis

    This article is a transcript of this conference call produced for The Motley Fool. While we strive for our Foolish Best, there may be errors, omissions, or inaccuracies in this transcript. As with all our articles, The Motley Fool does not assume any responsibility for your use of this content, and we strongly encourage you to do your own research, including listening to the call yourself and reading the company's SEC filings. Please see our Terms and Conditions for additional details, including our Obligatory Capitalized Disclaimers of Liability.

    More From The Motley Fool

    Motley Fool Transcription has no position in any of the stocks mentioned. The Motley Fool owns shares of and recommends Okta. The Motley Fool has a disclosure policy.



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