The CIO’s Guide to Adopting Generative AI: Five Keys to Success
The CIO’s Guide to Adopting Generative AI: Five Keys to Success

Author: David Sweenor

Publisher: TinyTechMedia LLC

Published: 2023-10-24

Total Pages: 36

ISBN-13:

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In a world full of generative AI hoopla, it's easy to get lost in the maze of options and marketing hype. Don't get distracted by the vendor hype; instead, focus on building resilient, high-value platforms that will set you apart from the competition. The CIO’s Guide to Adopting Generative AI: Five Keys to Success fills a critical knowledge gap for CIOs and business leaders by succinctly offering five success factors that need to be met before an organization can successfully incorporate generative AI. To unlock the transformative business value of generative AI, business leaders must: 1) identify enterprise use cases, 2) apply context to large language models (LLMs) using their organization's data, 3) take special precautions to ensure data security and privacy, 4) implement an artificial intelligence (AI) governance framework, and 5) build manageable AI applications for business users. This report provides the keys to unlocking the true potential of generative AI. Full of use cases and real-world applications, this report is designed for business leaders, tech professionals, and IT teams. We provide practical, jargon-free explanations of generative AI's transformative power. Gain a competitive edge in today's marketplace with The CIO’s Guide to Adopting Generative AI: Five Keys to Success. Remember, it's not the tech that's tiny, it's the book!™

The CIO's Guide to Adopting Generative AI
The CIO's Guide to Adopting Generative AI

Author: David Sweenor

Publisher: Tinytechmedia LLC

Published: 2023-10-23

Total Pages: 0

ISBN-13:

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In a world full of generative AI hoopla, it's easy to get lost in the maze of options and marketing hype. Don't get distracted by the vendor hype; instead, focus on building resilient, high-value platforms that will set you apart from the competition. The CIO's Guide to Adopting Generative AI: Five Keys to Success fills a critical knowledge gap for CIOs and business leaders by succinctly offering five success factors that need to be met before an organization can successfully incorporate generative AI. To unlock the transformative business value of generative AI, business leaders must: 1) identify enterprise use cases, 2) apply context to large language models (LLMs) using their organization's data, 3) take special precautions to ensure data security and privacy, 4) implement an artificial intelligence (AI) governance framework, and 5) build manageable AI applications for business users. This report provides the keys to unlocking the true potential of generative AI. Full of use cases and real-world applications, this report is designed for business leaders, tech professionals, and IT teams. We provide practical, jargon-free explanations of generative AI's transformative power. Gain a competitive edge in today's marketplace with The CIO's Guide to Adopting Generative AI: Five Keys to Success. Remember, it's not the tech that's tiny, it's the book!(TM)

Trustworthy AI
Trustworthy AI

Author: Beena Ammanath

Publisher: John Wiley & Sons

Published: 2022-03-15

Total Pages: 230

ISBN-13: 1119867959

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An essential resource on artificial intelligence ethics for business leaders In Trustworthy AI, award-winning executive Beena Ammanath offers a practical approach for enterprise leaders to manage business risk in a world where AI is everywhere by understanding the qualities of trustworthy AI and the essential considerations for its ethical use within the organization and in the marketplace. The author draws from her extensive experience across different industries and sectors in data, analytics and AI, the latest research and case studies, and the pressing questions and concerns business leaders have about the ethics of AI. Filled with deep insights and actionable steps for enabling trust across the entire AI lifecycle, the book presents: In-depth investigations of the key characteristics of trustworthy AI, including transparency, fairness, reliability, privacy, safety, robustness, and more A close look at the potential pitfalls, challenges, and stakeholder concerns that impact trust in AI application Best practices, mechanisms, and governance considerations for embedding AI ethics in business processes and decision making Written to inform executives, managers, and other business leaders, Trustworthy AI breaks new ground as an essential resource for all organizations using AI.

The Real Business of Blockchain
The Real Business of Blockchain

Author: David Furlonger

Publisher: Harvard Business Press

Published: 2019-10-15

Total Pages: 309

ISBN-13: 163369805X

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Blockchain is transforming business. What's your strategy? Leaders of forward-thinking organizations are exploring how blockchain can transform the way they create and seek value. Whether it's used to streamline multiparty processes, create and trade new assets, or leverage artificial intelligence and the internet of things, blockchain enables entirely new business opportunities. This is just the start. As blockchain becomes more widely adopted, it has the potential to radically change the way companies and societies operate, as transformative a paradigm shift as the launch of the internet. The Real Business of Blockchain is one of the first books on this transformative technology written for business leaders. Authors David Furlonger and Christophe Uzureau--both of Gartner, the world-renowned research and advisory company--will help you: Assess how blockchain will impact your business Explore the value proposition that blockchain offers Make smart near- and midterm investments Position your organization in a new competitive landscape Timely, visionary, and accessible, The Real Business of Blockchain cuts through the hype and helps you unlock the vast capabilities of this powerful and potentially world-changing technology.

IBM Cloud Pak for Data
IBM Cloud Pak for Data

Author: Hemanth Manda

Publisher: Packt Publishing Ltd

Published: 2021-11-24

Total Pages: 337

ISBN-13: 1800567405

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Build end-to-end AI solutions with IBM Cloud Pak for Data to operationalize AI on a secure platform based on cloud-native reliability, cost-effective multitenancy, and efficient resource management Key FeaturesExplore data virtualization by accessing data in real time without moving itUnify the data and AI experience with the integrated end-to-end platformExplore the AI life cycle and learn to build, experiment, and operationalize trusted AI at scaleBook Description Cloud Pak for Data is IBM's modern data and AI platform that includes strategic offerings from its data and AI portfolio delivered in a cloud-native fashion with the flexibility of deployment on any cloud. The platform offers a unique approach to addressing modern challenges with an integrated mix of proprietary, open-source, and third-party services. You'll begin by getting to grips with key concepts in modern data management and artificial intelligence (AI), reviewing real-life use cases, and developing an appreciation of the AI Ladder principle. Once you've gotten to grips with the basics, you will explore how Cloud Pak for Data helps in the elegant implementation of the AI Ladder practice to collect, organize, analyze, and infuse data and trustworthy AI across your business. As you advance, you'll discover the capabilities of the platform and extension services, including how they are packaged and priced. With the help of examples present throughout the book, you will gain a deep understanding of the platform, from its rich capabilities and technical architecture to its ecosystem and key go-to-market aspects. By the end of this IBM book, you'll be able to apply IBM Cloud Pak for Data's prescriptive practices and leverage its capabilities to build a trusted data foundation and accelerate AI adoption in your enterprise. What you will learnUnderstand the importance of digital transformations and the role of data and AI platformsGet to grips with data architecture and its relevance in driving AI adoption using IBM's AI LadderUnderstand Cloud Pak for Data, its value proposition, capabilities, and unique differentiatorsDelve into the pricing, packaging, key use cases, and competitors of Cloud Pak for DataUse the Cloud Pak for Data ecosystem with premium IBM and third-party servicesDiscover IBM's vibrant ecosystem of proprietary, open-source, and third-party offerings from over 35 ISVsWho this book is for This book is for data scientists, data stewards, developers, and data-focused business executives interested in learning about IBM's Cloud Pak for Data. Knowledge of technical concepts related to data science and familiarity with data analytics and AI initiatives at various levels of maturity are required to make the most of this book.

Value Stream Mapping: How to Visualize Work and Align Leadership for Organizational Transformation
Value Stream Mapping: How to Visualize Work and Align Leadership for Organizational Transformation

Author: Karen Martin

Publisher: McGraw Hill Professional

Published: 2013-10-25

Total Pages: 240

ISBN-13: 007182894X

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The first of its kind—a Value Stream Mapping book written for those in service and office environments who need to streamline operations Value Stream Mapping is a practical, how-to guide that helps decision-makers improve value stream efficiency in virtually any setting, including construction, energy, financial service, government, healthcare, R&D, retail, and technology. It gives you the tools to address a wider range of important VSM issues than any other such book, including the psychology of change, leadership, creating teams, building consensus, and charter development. Karen Martin is principal consultant for Karen Martin & Associates, LLC, instructor for the University of California, San Diego's Lean Enterprise program, and industry advisor to the University of San Diego's Industrial and Systems Engineering program. Mike Osterling provides support and leadership to manufacturing and non-manufacturing organizations on their Lean Transformation Journey. In a continuous improvement leadership role for six years, Mike played a key role in Square D Company's lean transformation in the 1990s.

The Digital Economy
The Digital Economy

Author: Don Tapscott

Publisher: McGraw-Hill Companies

Published: 1996

Total Pages: 342

ISBN-13: 9780070633421

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Looks at how the Internet is affecting businesses, education, and government, touching on the twelve themes of the new economy and privacy issues

Monetizing Your Data
Monetizing Your Data

Author: Andrew Roman Wells

Publisher: John Wiley & Sons

Published: 2017-03-13

Total Pages: 371

ISBN-13: 1119356245

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Transforming data into revenue generating strategies and actions Organizations are swamped with data—collected from web traffic, point of sale systems, enterprise resource planning systems, and more, but what to do with it? Monetizing your Data provides a framework and path for business managers to convert ever-increasing volumes of data into revenue generating actions through three disciplines: decision architecture, data science, and guided analytics. There are large gaps between understanding a business problem and knowing which data is relevant to the problem and how to leverage that data to drive significant financial performance. Using a proven methodology developed in the field through delivering meaningful solutions to Fortune 500 companies, this book gives you the analytical tools, methods, and techniques to transform data you already have into information into insights that drive winning decisions. Beginning with an explanation of the analytical cycle, this book guides you through the process of developing value generating strategies that can translate into big returns. The companion website, www.monetizingyourdata.com, provides templates, checklists, and examples to help you apply the methodology in your environment, and the expert author team provides authoritative guidance every step of the way. This book shows you how to use your data to: Monetize your data to drive revenue and cut costs Connect your data to decisions that drive action and deliver value Develop analytic tools to guide managers up and down the ladder to better decisions Turning data into action is key; data can be a valuable competitive advantage, but only if you understand how to organize it, structure it, and uncover the actionable information hidden within it through decision architecture and guided analytics. From multinational corporations to single-owner small businesses, companies of every size and structure stand to benefit from these tools, methods, and techniques; Monetizing your Data walks you through the translation and transformation to help you leverage your data into value creating strategies.

Artificial Intelligence
Artificial Intelligence

Author: David L. Poole

Publisher: Cambridge University Press

Published: 2017-09-25

Total Pages: 821

ISBN-13: 110719539X

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Artificial Intelligence presents a practical guide to AI, including agents, machine learning and problem-solving simple and complex domains.