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MSC-321 | Designing and Deploying Advanced Data Capture (ADC) Solution

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MSC-321 - Designing and Deploying Advanced Data Capture (ADC) Solution - braindump

Vendor IBM
Exam Number MSC-321
Exam Name Designing and Deploying Advanced Data Capture (ADC) Solution
Questions 114 Q & A
Recent Update February 15, 2019
Free PDF Download MSC-321 Brain Dump
Download Complete PDF Killexams MSC-321 Complete Document


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MSC-321 exam Dumps Source : Designing and Deploying Advanced Data Capture (ADC) Solution

Test Code : MSC-321
Test Name : Designing and Deploying Advanced Data Capture (ADC) Solution
Vendor Name : IBM
Q&A : 114 Real Questions

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IBM Designing and Deploying Advanced

IBM Bets $2B in quest of 1000X AI Hardware performance increase | killexams.com Real Questions and Pass4sure dumps

supply: shutterstock

For now, AI methods are basically computing device gaining knowledge of-based and “narrow” – powerful as they're by means of cutting-edge standards, they're restrained to performing a few, narrowly-defined projects. AI of the next decade will leverage the more advantageous vigor of deep getting to know and develop into broader, fixing a enhanced array of extra complex problems.  furthermore, the universal-aim technologies used nowadays for AI deployments will be replaced by a expertise stack that’s AI-specific and exponentially sooner – and it’s going to take some huge cash.

in the hunt for to take middle stage in AI’s unfolding, IBM – in aggregate with ny state and a number of know-how heavies – is investing $2 billion in the IBM research AI Hardware middle, concentrated on developing next generation AI silicon, networking and manufacturing as a way to, IBM referred to, bring 1,000x AI efficiency efficiency growth over the subsequent decade.

IBM's Mukesh Khare

“nowadays, AI’s ever-expanding sophistication is pushing the boundaries of the trade’s current hardware systems as users find greater methods to contain quite a lot of sources of facts from the aspect, information superhighway of things, and greater,” cited Mukesh Khare, VP, IBM analysis Semiconductor and AI Hardware group, in a weblog announcing the undertaking. “…nowadays’s techniques have performed stronger AI performance by means of infusing laptop-studying capabilities with excessive-bandwidth CPUs and GPUs, really good AI accelerators and excessive-performance networking machine. To hold this trajectory, new considering is needed to accelerate AI efficiency scaling to in shape to ever-expanding AI workload complexities.”

IBM noted the middle may be the nucleus of a brand new ecosystem of analysis and business companions taking part with IBM researchers. companions announced nowadays consist of Samsung for manufacturing and research, Mellanox technologies for high-efficiency interconnect equipment, Synopsys for software structures, emulation and prototyping, and IP for developing excessive-efficiency silicon chips, and semiconductor equipment groups applied substances and Tokyo Electron.

Hosted at SUNY Polytechnic Institute, Albany, ny, in collaboration with neighboring Rensselaer Polytechnic Institute core for Computational innovations, IBM noted the business and its partners will “boost a variety of technologies from chip level gadgets, materials, and structure, to the software assisting AI workloads.”

IBM roadmap for 1,000x development in AI compute efficiency efficiency.

large Blue talked about research at the core will focal point on overcoming “latest desktop-researching boundaries via methods that consist of approximate computing via Digital AI Cores and in-reminiscence computing through Analog AI Cores. These applied sciences will deliver the thousand-fold increases in efficiency effectivity required for full recognition of deep researching AI, the next important milestone in AI evolution, in keeping with IBM.

“A key area of research and building could be techniques that meet the calls for of deep studying inference and training techniques,” Khare stated. “Such methods offer significant accuracy advancements over more universal computer studying for unstructured information. these extreme processing demands will grow exponentially as algorithms turn into extra advanced with a purpose to bring AI programs with multiplied cognitive expertise.”

Khare mentioned the analysis center will host R&D, emulation, prototyping, trying out and simulation actions for brand new AI cores particularly designed for training and deploying advanced AI fashions, including a examine mattress by which contributors can exhibit improvements in actual-world applications. specialized wafer processing for the middle may be done in Albany with some assist at IBM’s Thomas J. Watson analysis core in Yorktown Heights, new york.

connected


IBM iX and Sitecore® Launch international advertising and marketing features and technology settlement | killexams.com Real Questions and Pass4sure dumps

SAN FRANCISCO, Jan. 29, 2019 /PRNewswire/ -- Sitecore [®] , the world leader in digital experience administration utility, nowadays announced a new global partnership with IBM iX, one of the crucial world's largest digital corporations and international company design partners. The partnership will make available to customers Sitecore's main net content material administration, commerce, and advertising and marketing solutions by the use of IBM iX designers, technology experts, and business strategists in 40 IBM Studios worldwide.

IBM iX is a proven leader in delivering Sitecore solutions, with greater than a decade's success of the two companies working collectively in Europe to tackle CMOs' vital want for extended return on advertising funding. The elevated partnership brings together the whole breadth of IBM iX's capabilities to capitalize on the growing to be demand for digital advertising capabilities that create highly-customized consumer experiences throughout all digital touchpoints.

Matthew sweet, global leader, IBM iX, pointed out that "consumer experience is the important thing strategic goal of many businesses and core to these businesses' capacity to transform. i'm very excited that we're expanding out our latest relationship with Sitecore into a worldwide partnership, as they become an important player in our ecosystem of partners." 

As a worldwide Platinum partner within the Sitecore answer company program, IBM iX provides the realm-category consulting, design, building and implementation features required to installation solutions on the Sitecore platform and convey brilliant consequences for shoppers. Matched to Sitecore's main digital experience management capabilities, organisations can supply end-customers with seamless, omnichannel experiences to pressure differentiation, promote business transformation, and increase earnings and customer lifetime price. The IBM iX and Sitecore partnership is extra empowered with top of the line practices and accelerators, as smartly as the ability to leverage the vigour of IBM Cloud and IBM Watson expertise. IBM iX additionally brings to bear the unparalleled competencies of Bluewolf, an IBM company, developing experiences with Salesforce, with whom Sitecore has a strategic alliance.

"IBM iX provides the electricity, scale, and subculture of innovation required to deliver immersive, end-to-conclusion digital options for our joint shoppers," referred to Mark Zablan, Chief revenue Officer for Sitecore. "Our partnership makes a potent mixture for businesses who are looking to speed up the digitization of their enterprise and foster a client-centric method to digital transformation."

For extra suggestions on IBM iX, seek advice from www.ibm.com/ibmix  and observe @IBM_iX on Twitter.

About SitecoreSitecore is the world leader in digital journey administration software that mixes content material management, commerce, and client insights. The Sitecore event Cloud™ empowers marketers to carry personalised content in real time and at scale throughout each channel—earlier than, all through, and after a sale. greater than 5,200 manufacturers––together with American specific, Carnival Cruise traces, Dow Chemical, and L'Oréal––have relied on Sitecore to carry the customized interactions that delight audiences, construct loyalty, and power income.  

ContactMatt KrebsbachSr. Director, Public & Analyst family members at Sitecorematt.krebsbach@sitecore.com

Sitecore Media RelationsWE CommunicationsTeamSitecore@we-worldwide.com

Sitecore®, personal the experience®, Sitecore experience Cloud™, Sitecore xConnect™, Sitecore Cortex™, Sitecore® journey Platform™, Sitecore adventure manager™ and Sitecore® adventure Database™ are registered trademarks or trademarks of Sitecore company A/S within the usa and other nations. All different company names, product names or emblems belong to their respective holders.

View usual content material to download multimedia:http://www.prnewswire.com/information-releases/ibm-ix-and-sitecore-launch-world-advertising-services-and-expertise-agreement-300785315.html

source Sitecore

Copyright (C) 2019 PR Newswire. All rights reserved


sensible power Water and IBM sign Multi-12 months contract to velocity Innovation on the Cloud | killexams.com Real Questions and Pass4sure dumps

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Synoptek Partners With Burstorm Multi-Cloud Hybrid Analytics Platform to More Quickly and Accurately Assess and Select the Optimal Cloud Solutions | killexams.com real questions and Pass4sure dumps

SAN FRANCISCO, Feb. 7, 2019 /PRNewswire/ -- Burstorm, a Hybrid-Multi Cloud analytics technology platform provider, and Synoptek, a Global Systems Integrator (SI) and Managed IT Services Provider (MSP) offering Comprehensive IT Management and Consultancy Services to organizations worldwide, today announced that Synoptek has deployed the Burstorm Multi-cloud Hybrid Analytics Platform. Synoptek is leveraging the platform's unmatched data and analytics capabilities to speed execution of its digital transformation initiative.

Synoptek's business increased by a factor of three in less than four years. To remain highly responsive to clients while maintaining control, quality, and consistency of its offerings in this high-growth environment, Synoptek required a more automated approach to system design and management. To that end, the company recently launched a project aimed at optimizing its product and service portfolio.

"To achieve our goals, we needed to gain full visibility into our multi-cloud hybrid environment that includes both internal components and numerous products and services from multiple cloud providers," said John Frazier, Synoptek chief operating officer. "The Burstorm platform has given us that visibility."

The Burstorm platform automatically captures and updates detailed technical, price, and performance data on a wide variety of products and services, including those from such providers as AWS, Azure, Google, Azure, ATT, Century Link, Alibaba, and numerous non public (published) ATT, Equinix, Comcast, and NTT and many more. A major differentiator of the Burstorm platform is its ability to normalize the data across a multitude of disparate components. As a result, Synoptek can perform meaningful benchmark comparisons of products and services based on a variety of factors, such as price/performance, to identify the optimum combinations.

Burstorm makes it easy for enterprises such as Synoptek to evaluate, select, deploy, and manage complex multi-cloud hybrid solutions. "These organizations no longer have to deal with multiple providers to gather and evaluate the information they need to make informed decisions," said Brandon Abbey, Burstorm chief executive officer. "All the information and advanced analytics to process it are readily available from the Burstorm platform. This eliminates the time-consuming, mostly manual effort of collecting and comparing data."

Using the Burstorm platform, Synoptek cloud architects were able to capture data on 90 percent of internal assets as well as on all external assets across 32 suppliers. The entire effort took only seven days. The platform normalizes the data, consolidates it, and presents it in a single map view, providing clear visibility into the Synoptek environment. The data includes contractual information as well as technical details. In addition, in just two weeks, the architects were able to complete a price/performance benchmark report that not only exposed lapsed contracts, duplicative services, and pricing discrepancies, but also uncovered significant cost optimization opportunities.

"We've just begun to exploit the capabilities of the Burstorm platform internally," said Frazier. "Eventually we plan to leverage the platform in assisting our customers in navigating the complex multi-cloud, hybrid landscape and assemble the portfolio of technology solutions that best meets their needs and budgets."

About Burstorm

Burstorm is automating and accelerating the process of cloud transformation. Burstorm is a purpose-built hybrid and multi-cloud design analytics platform utilized by cloud solution and managed service providers, integrators, consultants, and consumers. The platform combines easy-to-use drag-and-drop interfaces with in-house developed solution design engines. Users move from idea through implementation creating models and scenarios that utilize real-time API connections to industry-leading tools, solution providers, managed service providers, integrators, and consultants for pricing, consumption, and deployment rules. Headquartered in the San Francisco Bay Area, Burstorm focuses on enterprises that participate in or benefit from the process of compliance-driven digital transformation. Current client industries include large financial, manufacturing, government, military, and healthcare. More info: http://www.burstorm.com

About Synoptek

Synoptek provides information technology management services, consulting, and IT leadership to organizations worldwide. The firm manages and operates IT infrastructure with 24/7 operations, automated toolsets, and highly skilled technologists. Synoptek has been repeatedly recognized as one of the Top 100 Cloud Services Providers by Talkin' Cloud and one of the Top Managed Services Providers by MSPMentor, among other honors from Inc. Magazine, Deloitte and more. More info: http://www.synoptek.com.

Media Contacts:

Synoptek: Public Relations Group: media@synoptek.com

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Tips for Developing Successful IoT Applications | killexams.com real questions and Pass4sure dumps

When it comes to developing applications and technology deployment, IoT projects are stalled almost 60 percent of the time, according to a recent Cisco survey. Since the potential of IoT technology is high, the projects can be a huge success if conducted and deployed successfully.

Though IoT application development is increasing at a rapid speed, designing and deploying IoT strategies is still more challenging than executing other software initiatives as it involves different business and operational units to work in harmony rather than giving the overall control to IT. Due to this, even the most successful organizations can find it overwhelming to create and execute a successful IoT strategy.

There are various factors that contribute negatively to the success of IoT applications. Some of these are lack of collaboration among teams, wrong choice of technologies for a product, interoperability issues, lack of proper planning, and adhering to business goals. All these factors — together — make the development of an IoT project cumbersome, and thus, the decision makers do not find the end product aligning with their expectations.

IoT development is useful for various industries, and in order to go through all the mishaps and possible issues that could limit the success of your applications, we have created a list of tips that can help you with the successful launch of your app.

1. Define Your IoT Application Idea Clearly and Research Thoroughly

This might seem like the most obvious thing to do but many companies neglect to realize the importance of understanding and defining the problem statement with clarity. Though this is the first step to develop any product or app, it is one of the most important ones when it comes to developing IoT applications. All the decision-makers of the company should set clear, measurable, and attainable goals while identifying all the key success metrics responsible for achieving them.

Focusing on understanding the idea of the app in development and its impact in the long run in terms of productivity, efficiency, and customer satisfaction helps to measure the improved performance through IoT solutions. Before even taking the first step in the direction of development, more thought needs to be put in terms of relevancy of the concept itself. Thorough research helps determine the points of failure at an early stage while reducing the cost of development and saving time.

2. Ensure IoT Application Scalability Options

The IoT technology works on the principle of connected devices and systems, and therefore, understanding the scope of scaling these systems and services in an advanced manner is crucial. Developing IoT applications not only requires delivery of the end-product but also the surety of components and devices working together smoothly throughout their lifecycle. 

The management of connected devices, taking into consideration the amount of data that they capture while maintaining scalability, is highly important to plan and ensure its advance.

3. Enable Hardware and Software Integration for IoT Solutions

As described earlier, when it comes to developing IoT applications, the integration of different components plays an important role. Different hardware and software components involved in the development process must be integrated in a feasible manner. Building a successful IoT application from scratch requires identifying the hardware, equipment, and machinery from the inventory.

Furthermore, based on the requirements of components, companies might also need to partner with original equipment manufacturers for finding the appropriate sensors, adapters, and other hardware. Identifying these needs from the initial stages helps the upcoming application to figure out the capabilities as well as the gaps that need attention. With this step in place, it gets easier for an organization to develop an understanding of onboard physical devices for the connected platform.

4. Project Scope and Roadmap

In order to develop any successful IT project, be it related to IoT app development or not, it is highly important to have a well-defined project scope. Without a clear scope, the end-results of a project may drastically vary from what was initially decided. Therefore, before starting the project, you should define the expected outcomes and decide the focus and steps of the projects accordingly.

Another important aspect that is critical to starting any IoT project and succeeding with it is the process of preparing a roadmap. A roadmap gives an overview of the project timelines and how it is expected to progress over time. Preparing a solid roadmap in advance is a good way to limit project risks and enhance the execution part of the IoT app.

5. Define Outcome-Based Metrics

Since IoT applications work on the concept of connected devices, the data obtained from these devices is large in quantity. Due to multiple data points, big data sets are generated, which need to be carefully translated into useful metrics. With multiple sensors and data points, some are useful for analysis in real-time while the other is stored in long-term for more details. In order to develop a successful IoT application, the metrics should be decided

Taking an example of a connected car, the stats obtained through the engine of the car are considered in real-time, while the data achieved through fuel consumption is stored for calculations at the end of the quarter. 

6. Intuitive User Experience for Business Decision Makers

While delivering an enterprise-specific IoT application, it is important to consider the user experience aspects based on the types of users working in the enterprise. In any typical IoT application solution, the user experience plays an important role. The UI layer is majorly exposed to two types of people namely operations managers and decision makers.

One group consists of the supervisors who have the power to send commands, control actuators, and monitor devices remotely. Maintaining the smooth flow of the multiple interconnected devices falls on this group. Whereas the other group consists of analysts and business decision makers who make decisions on the basis of data-driven insights. This group has the dashboard access and control over the business policies and rules that reflect the changing needs of businesses.

7. Use Cases and Data Flows in IoT Projects

In order for an IoT project to be successful, it is crucial to base it on well-defined use cases. A well-defined use case is calculated based on three factors — its potential to drive revenue and adoption, reduced costs, and solves a problem. Given use cases of an IoT application, they can be addressed with the help of proper technology and planning.

An iterative cycle of creating prototypes, testing it in the market, and improving the detected flaws should be executed to ensure the usefulness of a use case. Moreover, data flows of the IoT application in development should also be taken into keen consideration as they act as the most important resources to extract value from data in a given time and budget.

As IoT solutions are interconnected with each other as well as the Internet for data sharing, they are more susceptible to vulnerablities and security issues. An additional level of security is needed to secure the devices as well as the sensors. Taking the right steps, you can ensure smooth development and higher security while developing in IoT application.

Topics:

iot app development ,IoT ,scalability ,security ,data ,planning ,sensors ,connected devices ,enterprise iot ,hardware


To Create Big Value, Don’t Be Shy | killexams.com real questions and Pass4sure dumps

Tech-enabled transformations are still in the early stages in many advanced industries. Early movers with the right strategy can reduce costs and leapfrog competitors.

Whether you design automobiles, work as an aerospace engineer or sell medical equipment, there comes a time when you’re likely to have exhausted the traditional levers for growth. It’s a bit of a confounding moment and it requires a new range of creative solutions to make progress.

Naturally, this causes some anxiety, and while there is realization that digital tools can be a gamechanger, there is still reticence to embrace them fully. Reasons vary – from management mindset, to increased workload, to lack of skills to manage big data or develop new digital tools. Readiness even varies significantly by variables such as company, region and role.

Venkat Atluri is a senior partner in the Chicago office of McKinsey & Co. He has worked in product development and management for General Electric and 3M. (Image source: McKinsey &Co.)

Our studies have found leading companies were more likely to use digital tools at every phase of the research and development (R&D) process. The laggards might use digital tools for technical activities but not for management activities, such as planning and project management. Those in the vanguard were particularly likely to use product data management (PDM) and product lifecycle management (PLM) systems, citing the benefits such systems provide in reducing both product and development costs.

In a recent compendium of work produced by McKinsey & Company, including The Trillion Dollar Question for Advanced Industries: How to Extract Full Value from Technology, we take a closer look at how technology can enable transformations that improve margins and return growth.

Roadblocks

What prevents companies from diving into the deep end of the pool?  Four main factors stand out:

  • Management mind-set: Managers either mistakenly believed they already had all the necessary capabilities in-house or were reluctant to make the leap to untried and potentially incomplete new approaches.
  • Organizational and cultural issues: Most R&D staffs were struggling to fulfill their basic mission and management thought the move to digitization would be an added burden.
  • Skillset: Most companies lack the capabilities to make this transition, especially when it comes to managing big data or developing new digital tools.
  • Risk averse: Some companies are reluctant to make large investments in unproven technologies or where standards have yet to emerge.
  • Dive In

    In a time of economic uncertainty, the fact remains that there exists tremendous opportunity for established companies to dive into the deep end of the pool and reap the rewards – as much as $2 trillion in total return to shareholders.

    Though it is true that advanced industries, and in particular, R&D, have been slower to digitize than many other sectors, there remains a sometimes-overlooked silver lining. By simply introducing technology and transparency into decision-making and operations, engineers and R&D staff are often more empowered, enjoy a better experience and can focus on what they like most -- building & designing.

    Satya Rao is a partner in the in the Chicago office of McKinsey & Company. He holds a master’s degree in computer engineering and has directed integration of hardware and software of handsets. (Image source: McKinsey &Co.)

    In an essay, we have examined the challenges and opportunities that come with tech-enabled transformations. Among them is that companies can take a piecemeal approach, leading to suboptimal outcomes. This occurs when they are adopting artificial intelligence, machine learning, cloud services and a host of other technologies on a case-by case basis, instead of selecting technologies to serve their strategy or meet specific goals. Success depends on a holistic approach to transformation. However, the opportunities and path to success is clear: Define your aspirations, link them to sources of business value, work out which technologies you will transform. Double down on that bet.

    In 2017, we surveyed executives developing Internet of Things (IoT) solutions and found that half had been running customer pilots for two years and more than 25 percent ran those pilots even longer. This is what we call “pilot purgatory.”

    Pilot Purgatory: How to Escape

    Though our data demonstrates that “pilot purgatory” is a common occurrence, it doesn’t have to be. We’ve hatched an escape plan for pilot purgatory:

  • Use closed-loop processes to generate customer insights
  • Translate them into product features and services
  • Rapidly deploy these elements with the customer
  • Test the impact
  • Repeat as necessary
  • These steps effectively describe what we call “design thinking.”

  • Companies should find partners to share data and insights and create mutually-shared value, or what we call an “ecosystem”
  • Understand your current situation and set a baseline. When doing so, be realistic about your starting point and digital maturity
  • Take a step back and consider what you want to achieve. It can be easy for a company to get overwhelmed, so evaluate your whole business to see where technology could unlock the greatest value
  • Be bold and transform. It would be easy to settle for incremental gain, but instead set a bold aspiration to ensure the changes you make don’t just reinforce the status quo
  • Unlocking Profit from Research & Development

    Traditional approaches to R&D efficiency—peer benchmarks, lean engineering, trial and error—are producing diminishing returns and ceasing to confer competitive advantage. The fundamentals of tech-enabled R&D efficiency are a shift to agile iterative product-development cycles and the rapid deployment of digital- and analytics-based productivity techniques.

    Consider a typical company where engineers use ten or more systems in a typical day’s work, ranging from timesheets, emails, and project plans to bills of materials and suppliers’ systems. By integrating data from all these disparate systems into a common structure, the company can use machine-learning algorithms to track metrics dynamically and extract powerful insights that provide a fact-based, granular guide to sources of value.

    One aerospace and defense company applied advanced analytics to identify productivity drivers and metrics in its software engineering. It began by creating a data lake that combined data from a dozen or so sources, including the enterprise value-management system, software code tracking, timesheets, and Microsoft Exchange. Then it ran multivariate algorithms to identify factors that correlated to productivity metrics. It found, for instance, that replacing late-stage software testing with early-stage testing using automated scripting would improve productivity by five percent. Finally, the company created a business case and action plan to address target initiatives. This entire process was completed in just 16 weeks, thanks to a sprint-based approach that combined traditional engineering practices with advanced analytics. As a result, the company reduced software defects by 35 to 50 percent and increased engineering capacity by 20 percent.

    Success in Five Steps

  • Listen to your customers. They know what they want when they see it, even though they may not be able to articulate it in advance. Invest heavily in customer insights to identify pain points in the user experience, and pressure-test your new offerings with customers to ascertain what they are willing to pay for.
  • Place big bets. It’s fine to fail fast, but avoid spreading your investment across too many ideas. Successful organizations prioritize a few big bets that get the lion’s share of management attention. Having identified your big bets, consider novel ways to organize around them. Some tech-enabled industrial companies use a VC-like governance structure with a digital unit reporting directly to a “digital board” comprising the CEO, CTO, and CFO. Such a structure ensures that funding is based on reaching milestones, that issues are resolved quickly, and that the core business stays focused on the core.
  • Adopt agile product development. Set up small, autonomous, cross-functional teams that can get close to customers, fail fast, and pivot to the next opportunity. Traditional product development cycles are a recipe for failure, as they can’t keep up with advances in technology and data.
  • Build out your ecosystem. Commercial as well as technological partnerships are essential to moving fast and scaling effectively. Building and maintaining a robust ecosystem of partners demands dedicated resources.
  • Establish the right go-to-market capabilities. Selling tech-enabled products is nothing like selling traditional hardware. It requires knowledge of consultative selling, software bundling, and unfamiliar sales cycles and solution architectures. Expecting your traditional sales channels to convert customers quickly or bolting a digital sales group onto a traditional organization could spell disaster. Instead, develop a clear customer interaction model and overhaul your sales structure, processes, enablement strategies, and incentives.
  • New Battleground

    Successful innovation relies not only on sound data and technology but on a deep understanding of how to use them to tap into new sources of value.

    Though tech-enabled transformations in advanced industries are still in the early stages, companies have no time to lose. An early mover with the right strategy could not only reduce costs across the board, but leapfrog competitors. Smart companies can capture disproportionate value by gaining market share from peers or by being the first to respond to radical shifts in customer behavior.

    For established companies, this is a critical juncture.  Many companies will stick to their core values, protect market share and struggle. The few with vision and courage are taking the plunge into a future that can be at once profitable, provide measured growth and transformation.



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    References :


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    Scribd : https://www.scribd.com/document/356589864/Pass4sure-MSC-321-Designing-and-Deploying-Advanced-Data-Capture-ADC-Solution-exam-braindumps-with-real-questions-and-practice-software
    Dropmark-Text : http://killexams.dropmark.com/367904/11997469
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