The easy way to understand and implement cloud computing technology written by a team of experts Cloud computing can be difficult to understand at first, but the cost-saving possibilities are great and many companies are getting on board. If you've been put in charge of implementing cloud computing, this straightforward, plain-English guide clears up the confusion and helps you get your plan in place. You'll learn how cloud computing enables you to run a more green IT infrastructure, and access technology-enabled services from the Internet ("in the cloud") without having to understand, manage, or invest in the technology infrastructure that supports them. You'll also find out what you need to consider when implementing a plan, how to handle security issues, and more. <ul>
<li>Cloud computing is a way for businesses to take advantage of storage and virtual services through the Internet, saving money on infrastructure and support</li> <li>This book provides a clear definition of cloud computing from the utility computing standpoint and also addresses security concerns</li> <li>Offers practical guidance on delivering and managing cloud computing services effectively and efficiently</li> <li>Presents a proactive and pragmatic approach to implementing cloud computing in any organization</li> <li>Helps IT managers and staff understand the benefits and challenges of cloud computing, how to select a service, and what's involved in getting it up and running</li> <li>Highly experienced author team consults and gives presentations on emerging technologies</li> </ul>
Cloud Computing For Dummies gets straight to the point, providing the practical information you need to know.

Cloud Computing For Dummies

Computers & Technology

Bloor, Robin

Hurwitz, Judith S.

Kaufman, Marcia

Halper, Fern

Networking & Cloud Computing

For Dummies

Smart or Lucky? How Technology Leaders Turn Chance into Success About the Book: An insider's look at the combination of luck and smarts you need to succeed in today's changing tech world. To be successful in any highly competitive market, you have to be smart, but you also have to be lucky by being at the right place at the right time. The most successful technology entrepreneurs understand the value of the combination of luck and smarts and make it work for them. Those who fail are the ones who may be lucky but get complacent, believe they're the smartest players in the market, and fail to make the changes needed to sustain leadership. Smart or Lucky? is for business leaders who are interested in learning what it takes to be successful in emerging markets and how to sustain success over the long term. It shows entrepreneurs how to recognize a lucky break and have the foresight to take advantage of it. <ul>
<li>Offers concrete lessons based on well-tested principles that have broad applications for business leaders and entrepreneurs across industries</li>
<li>Based on experiences with hundreds of successful and failed companies in the software market over three decades</li>
<li>Author's method has resulted in expanded revenue and increased market success for both large and small companies</li>
</ul>
 Informative and highly detailed, this is a must-read for all business leaders and emerging entrepreneurs who want to understand how to stay nimble and succeed in complicated, competitive markets. Q&amp;A with Author Judith Hurwitz Author Judith Hurwitz What does it mean to be Smart or Lucky? Timing has as much to do with success as great foundational technology. I have seen some of the smartest people on the planet with excellent technology fail. Then a company with the same idea and an implementation that isn’t even as good as the original will become a huge success. The world of innovative technology is brutal and often unfair. Even the companies that are lucky enough to be at the right place at the right time can fail if they don’t figure out a way to sustain their early advantage. Successful technology leaders are able to combine the right timing with a well-conceived strategy that allows them to continually innovate for the long run. You have been at the forefront of the tech industry since it began. In writing this book, was there anything in particular that surprised you? I think the biggest surprise is how quickly things change in the technology market and how quickly we forget the lessons of the past. Who can remember that Netscape was able to charge more than $60 for each copy of its browser? How was it possible that a company like Wang Laboratories that was one of the top three biggest IT companies disappeared from the market without a trace? Each company that I analyzed for this book, from the first to market to the current leaders like Google and Amazon.com, has important lessons about executing on strategy. Successful technology leaders have a sophisticated roadmap and plan based on sustainable revenue models. Once these leaders are successful they don’t take their success for granted. They continually reinvent themselves—that is where smarts comes in. These leaders know when to get rid of products that are dragging the company down. They also know how to allow a new idea to flourish without being crushed by political infighting. Many say we are now in the midst of a second dotcom bubble. Would you agree, and what lessons from the first bubble (and burst) should people keep in mind now? We are definitely in the midst of a second dotcom bubble. What is interesting is that these companies are repeating the same mistakes that companies made the first time around. For example, a company like GroupOn was lucky enough to be at the right place at the right time. The technology and the go-to-market strategy are not very complicated and can easily be replicated. Yet the company walked away from a $6 billion buyout offer from Google. Will they be proven to be smart or will they be known as a company that wasted its luck? There are hundreds and probably thousands of companies that are being funded simply because they have the right buzz words in their business plan. They are accumulating cash at a rapid rate but many are not spending that money wisely. Companies in this new bubble need to learn the importance of planning for revenue growth. What is the short- and long-term business model? Simply gaining customers without planning for a sustainable revenue model killed many in the first dotcom bubble. Innovation alone isn’t enough; neither is getting lots of early adopters. There has to be a well-thought-out differentiation that assumes that a lucky company will have many, many eager and well-funded competitors. What is your favorite story in the book? I really like the Amazon.com business model. While many technology companies modeled themselves on other technology leaders, Amazon.com modeled itself on Walmart instead. Technology was a means to an end. This technology leader focused on the end goal—to make it easy and inexpensive to buy merchandise. The business model was simply to turn goods and services into a commodity with a price and delivery model that allowed it to grow and prosper. Amazon was not the first online bookstore. But Amazon was lucky enough to get the timing right and smart enough to build a business plan for long-term sustainability.

Smart or Lucky?: How Technology Leaders Turn Chance into Success

Business & Money

Industries

Jossey-Bass

Platform as a Service For Dummies

Find the right big data solution for your business or organization Big data management is one of the major challenges facing business, industry, and not-for-profit organizations. Data sets such as customer transactions for a mega-retailer, weather patterns monitored by meteorologists, or social network activity can quickly outpace the capacity of traditional data management tools. If you need to develop or manage big data solutions, you'll appreciate how these four experts define, explain, and guide you through this new and often confusing concept. You'll learn what it is, why it matters, and how to choose and implement solutions that work. <ul>
<li>Effectively managing big data is an issue of growing importance to businesses, not-for-profit organizations, government, and IT professionals</li> <li>Authors are experts in information management, big data, and a variety of solutions</li> <li>Explains big data in detail and discusses how to select and implement a solution, security concerns to consider, data storage and presentation issues, analytics, and much more</li> <li>Provides essential information in a no-nonsense, easy-to-understand style that is empowering</li> </ul>
Big Data For Dummies cuts through the confusion and helps you take charge of big data solutions for your organization.

Big Data For Dummies

Nugent, Alan

A comprehensive guide to learning technologies that unlock the value in big data Cognitive Computing provides detailed guidance toward building a new class of systems that learn from experience and derive insights to unlock the value of big data. This book helps technologists understand cognitive computing's underlying technologies, from knowledge representation techniques and natural language processing algorithms to dynamic learning approaches based on accumulated evidence, rather than reprogramming. Detailed case examples from the financial, healthcare, and manufacturing walk readers step-by-step through the design and testing of cognitive systems, and expert perspectives from organizations such as Cleveland Clinic, Memorial Sloan-Kettering, as well as commercial vendors that are creating solutions. These organizations provide insight into the real-world implementation of cognitive computing systems. The IBM Watson cognitive computing platform is described in a detailed chapter because of its significance in helping to define this emerging market. In addition, the book includes implementations of emerging projects from Qualcomm, Hitachi, Google and Amazon. Today's cognitive computing solutions build on established concepts from artificial intelligence, natural language processing, ontologies, and leverage advances in big data management and analytics. They foreshadow an intelligent infrastructure that enables a new generation of customer and context-aware smart applications in all industries. Cognitive Computing is a comprehensive guide to the subject, providing both the theoretical and practical guidance technologists need. <ul>
<li>Discover how cognitive computing evolved from promise to reality</li> <li>Learn the elements that make up a cognitive computing system</li> <li>Understand the groundbreaking hardware and software technologies behind cognitive computing</li> <li>Learn to evaluate your own application portfolio to find the best candidates for pilot projects</li> <li>Leverage cognitive computing capabilities to transform the organization</li> </ul>
Cognitive systems are rightly being hailed as the new era of computing. Learn how these technologies enable emerging firms to compete with entrenched giants, and forward-thinking established firms to disrupt their industries. Professionals who currently work with big data and analytics will see how cognitive computing builds on their foundation, and creates new opportunities. Cognitive Computing provides complete guidance to this new level of human-machine interaction.

Cognitive Computing and Big Data Analytics

Bowles, Adrian

Computer Science

wiley

Get your head--and your business--into the Cloud&nbsp; Cloud computing is no longer&nbsp;just&nbsp;a&nbsp;clever&nbsp;new toy in the world of IT&nbsp;infrastructure. Despite&nbsp;the&nbsp;nebulous name, it's become a&nbsp;real&nbsp;and&nbsp;important&nbsp;part of our information architecture--and&nbsp;tech professionals&nbsp;who ignore it or try to skim their way through risk falling behind rapidly.&nbsp;The new edition of&nbsp;Cloud Computing&nbsp;For&nbsp;Dummies&nbsp;gets you up to speed fast, clarifying your Cloud options, showing you where can save you time and money, giving you ways to frame your decisions,&nbsp;and helping you avoid weeks of research.&nbsp; In&nbsp;a friendly, easy-to-follow style,&nbsp;Cloud Computing&nbsp;For&nbsp;Dummies,&nbsp;2nd&nbsp;Edition&nbsp;demystifies&nbsp;the Cloud's virtual&nbsp;landscape,&nbsp;breaking up&nbsp;a&nbsp;complex and multi-layered topic into simple explanations that will make the various benefits clear and&nbsp;ultimately&nbsp;guide you toward&nbsp;making&nbsp;the&nbsp;most appropriate&nbsp;choices for your organization.&nbsp;&nbsp; <ul> <li>Know the business case for the Cloud&nbsp;</li> <li>Understand hybrid&nbsp;and multi-cloud&nbsp;options&nbsp;</li> <li>Develop your Cloud strategy&nbsp;</li> <li>Get tips on best practices&nbsp;</li> </ul> The Cloud&nbsp;is everywhere, and it can deliver amazing benefits to our lives and businesses. Get&nbsp;a&nbsp;much&nbsp;clearer&nbsp;vision of&nbsp;exactly&nbsp;how with&nbsp;Cloud Computing&nbsp;For&nbsp;Dummies--and&nbsp;you'll&nbsp;begin to&nbsp;see that the sky really is the limit!&nbsp;&nbsp; &nbsp;

Kirsch, Daniel

Big Data For Dummies (For Dummies (Computer/Tech))

Discover the next major revolution in data science and AI and how it applies to your organization In Causal Artificial Intelligence: The Next Step in Effective, Efficient, and Practical AI, a team of dedicated tech executives delivers a business-focused approach based on a deep and engaging exploration of the models and data used in causal AI. The book's discussions include both accessible and understandable technical detail and business context and concepts that frame causal AI in familiar business settings. Useful for both data scientists and business-side professionals, the book offers: <ul> <li>Clear and compelling descriptions of the concept of causality and how it can benefit your organization</li> <li>Detailed use cases and examples that vividly demonstrate the value of causality for solving business problems</li> <li>Useful strategies for deciding when to use correlation-based approaches and when to use causal inference</li> </ul> An enlightening and easy-to-understand treatment of an essential business topic, Causal Artificial Intelligence is a must-read for data scientists, subject matter experts, and business leaders seeking to familiarize themselves with a rapidly growing area of AI application and research.

Causal Artificial Intelligence: The Next Step in Effective Business AI

Thompson, John K.

Management & Leadership

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