AI for People and Business
AI for People and Business

Author: Alex Castrounis

Publisher: O'Reilly Media

Published: 2019-07-05

Total Pages: 317

ISBN-13: 1492036544

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If you’re an executive, manager, or anyone interested in leveraging AI within your organization, this is your guide. You’ll understand exactly what AI is, learn how to identify AI opportunities, and develop and execute a successful AI vision and strategy. Alex Castrounis, business consultant and former IndyCar engineer and race strategist, examines the value of AI and shows you how to develop an AI vision and strategy that benefits both people and business. AI is exciting, powerful, and game changing—but too many AI initiatives end in failure. With this book, you’ll explore the risks, considerations, trade-offs, and constraints for pursuing an AI initiative. You’ll learn how to create better human experiences and greater business success through winning AI solutions and human-centered products. Use the book’s AIPB Framework to conduct end-to-end, goal-driven innovation and value creation with AI Define a goal-aligned AI vision and strategy for stakeholders, including businesses, customers, and users Leverage AI successfully by focusing on concepts such as scientific innovation and AI readiness and maturity Understand the importance of executive leadership for pursuing AI initiatives "A must read for business executives and managers interested in learning about AI and unlocking its benefits. Alex Castrounis has simplified complex topics so that anyone can begin to leverage AI within their organization." - Dan Park, GM & Director, Uber "Alex Castrounis has been at the forefront of helping organizations understand the promise of AI and leverage its benefits, while avoiding the many pitfalls that can derail success. In this essential book, he shares his expertise with the rest of us." - Dean Wampler, Ph.D., VP, Fast Data Engineering at Lightbend

Artificial Intelligence
Artificial Intelligence

Author: Harvard Business Review

Publisher: HBR Insights

Published: 2019

Total Pages: 160

ISBN-13: 9781633697898

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Companies that don't use AI to their advantage will soon be left behind. Artificial intelligence and machine learning will drive a massive reshaping of the economy and society. What should you and your company be doing right now to ensure that your business is poised for success? These articles by AI experts and consultants will help you understand today's essential thinking on what AI is capable of now, how to adopt it in your organization, and how the technology is likely to evolve in the near future. Artificial Intelligence: The Insights You Need from Harvard Business Review will help you spearhead important conversations, get going on the right AI initiatives for your company, and capitalize on the opportunity of the machine intelligence revolution. Catch up on current topics and deepen your understanding of them with the Insights You Need series from Harvard Business Review. Featuring some of HBR's best and most recent thinking, Insights You Need titles are both a primer on today's most pressing issues and an extension of the conversation, with interesting research, interviews, case studies, and practical ideas to help you explore how a particular issue will impact your company and what it will mean for you and your business.

Leveraging Artificial Intelligence for Business Success
Leveraging Artificial Intelligence for Business Success

Author: Vishal Singhal

Publisher: Notion Press

Published: 2020-08-10

Total Pages: 160

ISBN-13: 1648997007

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How should we use Artificial Intelligence? has become a common question among all management folks and board members of both small and medium companies besides large companies who have already started strategizing on top levels and putting in enormous funds for overall enterprise transformation. Executives view AI as a key disruptive technology; employees fear it as a job snatcher; consultants pitch it as a cure-all; the media hypes and derides it endlessly. While many large organizations have created strategies and are putting huge resources to perform end-to-end transformation, small and medium companies are still struggling to understand what it will take to develop AI capabilities in their businesses. This book tries to address these very concerns and makes it simpler for all (the technical or the non-technical, the initiated or the uninitiated) to understand what it will take to make their AI-adoption journey hurdle-free and painless.

Artificial Intelligence in Practice
Artificial Intelligence in Practice

Author: Bernard Marr

Publisher: John Wiley & Sons

Published: 2019-04-15

Total Pages: 220

ISBN-13: 1119548985

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Cyber-solutions to real-world business problems Artificial Intelligence in Practice is a fascinating look into how companies use AI and machine learning to solve problems. Presenting 50 case studies of actual situations, this book demonstrates practical applications to issues faced by businesses around the globe. The rapidly evolving field of artificial intelligence has expanded beyond research labs and computer science departments and made its way into the mainstream business environment. Artificial intelligence and machine learning are cited as the most important modern business trends to drive success. It is used in areas ranging from banking and finance to social media and marketing. This technology continues to provide innovative solutions to businesses of all sizes, sectors and industries. This engaging and topical book explores a wide range of cases illustrating how businesses use AI to boost performance, drive efficiency, analyse market preferences and many others. Best-selling author and renowned AI expert Bernard Marr reveals how machine learning technology is transforming the way companies conduct business. This detailed examination provides an overview of each company, describes the specific problem and explains how AI facilitates resolution. Each case study provides a comprehensive overview, including some technical details as well as key learning summaries: Understand how specific business problems are addressed by innovative machine learning methods Explore how current artificial intelligence applications improve performance and increase efficiency in various situations Expand your knowledge of recent AI advancements in technology Gain insight on the future of AI and its increasing role in business and industry Artificial Intelligence in Practice: How 50 Successful Companies Used Artificial Intelligence to Solve Problems is an insightful and informative exploration of the transformative power of technology in 21st century commerce.

AI for Entrepreneurs: How to Leverage Artificial Intelligence for Business Success
AI for Entrepreneurs: How to Leverage Artificial Intelligence for Business Success

Author: Shu Chen Hou

Publisher: Kokoshungsan Ltd

Published:

Total Pages: 381

ISBN-13:

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Unlock the transformative power of Artificial Intelligence (AI) to propel your business to new heights. AI for Entrepreneurs is an essential guide for business owners looking to leverage AI technology to boost growth, optimize operations, and stay ahead of the competition. Packed with practical strategies, this book demystifies AI, making it accessible to entrepreneurs of all sizes—whether you're a startup founder or running a small enterprise. Discover how AI is revolutionizing industries by automating routine tasks, improving decision-making, and enhancing customer experiences. You'll learn step-by-step how to identify key areas where AI can add value, choose the right tools to enhance marketing and operations, and automate processes to save time and costs. Featuring real-world success stories of entrepreneurs who used AI to scale their businesses, this book will show you exactly how to implement AI in your daily operations for maximum impact. Bonus resources include a curated list of AI tools, an action plan template, and an easy-to-understand AI glossary—everything you need to start leveraging AI today. AI for Entrepreneurs is your roadmap to making AI a powerful ally in your business journey. Get your copy and start building your AI-powered success story now!

Branding & AI
Branding & AI

Author: Chahat Aggarwal

Publisher: Business Expert Press

Published: 2021-07-14

Total Pages: 202

ISBN-13: 1637420811

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Open the doors to the world of branding and artificial intelligence, the future of building efficient revenue! Unlike anything else out there, the book is an authentic and lucid representation of what branding is and the role it plays with artificial intelligence in the success of businesses. The book would be singularly profound to entrepreneurs, marketing professionals, brand strategists, students, and anyone aspiring to take a hungry bite out of the knowledge repository built from first-hand experiences of creating a brand from scratch and running it successfully in the digital age. Highlights: Explains in-depth theories, tools, and models explaining the core ingredients of creating a successful brand; Discusses how branding on an organizational and personal level is directly proportional to profit and return on investment along with measuring tools; Includes case studies that dissect successful and unsuccessful marketing strategies of huge brands; Covers the role of AI in branding, with its potential in facilitating companies in achieving their goals through targeted marketing.

Competing in the Age of AI
Competing in the Age of AI

Author: Marco Iansiti

Publisher: Harvard Business Press

Published: 2020-01-07

Total Pages: 175

ISBN-13: 1633697630

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"a provocative new book" — The New York Times AI-centric organizations exhibit a new operating architecture, redefining how they create, capture, share, and deliver value. Now with a new preface that explores how the coronavirus crisis compelled organizations such as Massachusetts General Hospital, Verizon, and IKEA to transform themselves with remarkable speed, Marco Iansiti and Karim R. Lakhani show how reinventing the firm around data, analytics, and AI removes traditional constraints on scale, scope, and learning that have restricted business growth for hundreds of years. From Airbnb to Ant Financial, Microsoft to Amazon, research shows how AI-driven processes are vastly more scalable than traditional processes, allow massive scope increase, enabling companies to straddle industry boundaries, and create powerful opportunities for learning—to drive ever more accurate, complex, and sophisticated predictions. When traditional operating constraints are removed, strategy becomes a whole new game, one whose rules and likely outcomes this book will make clear. Iansiti and Lakhani: Present a framework for rethinking business and operating models Explain how "collisions" between AI-driven/digital and traditional/analog firms are reshaping competition, altering the structure of our economy, and forcing traditional companies to rearchitect their operating models Explain the opportunities and risks created by digital firms Describe the new challenges and responsibilities for the leaders of both digital and traditional firms Packed with examples—including many from the most powerful and innovative global, AI-driven competitors—and based on research in hundreds of firms across many sectors, this is your essential guide for rethinking how your firm competes and operates in the era of AI.

Applied Artificial Intelligence
Applied Artificial Intelligence

Author: Mariya Yao

Publisher:

Published: 2018-04-30

Total Pages: 246

ISBN-13: 9780998289021

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This bestselling book gives business leaders and executives a foundational education on how to leverage artificial intelligence and machine learning solutions to deliver ROI for your business.

Enterprise Artificial Intelligence Transformation
Enterprise Artificial Intelligence Transformation

Author: Rashed Haq

Publisher: John Wiley & Sons

Published: 2020-06-10

Total Pages: 368

ISBN-13: 1119665973

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Enterprise Artificial Intelligence Transformation AI is everywhere. From doctor's offices to cars and even refrigerators, AI technology is quickly infiltrating our daily lives. AI has the ability to transform simple tasks into technological feats at a human level. This will change the world, plain and simple. That's why AI mastery is such a sought-after skill for tech professionals. Author Rashed Haq is a subject matter expert on AI, having developed AI and data science strategies, platforms, and applications for Publicis Sapient's clients for over 10 years. He shares that expertise in the new book, Enterprise Artificial Intelligence Transformation. The first of its kind, this book grants technology leaders the insight to create and scale their AI capabilities and bring their companies into the new generation of technology. As AI continues to grow into a necessary feature for many businesses, more and more leaders are interested in harnessing the technology within their own organizations. In this new book, leaders will learn to master AI fundamentals, grow their career opportunities, and gain confidence in machine learning. Enterprise Artificial Intelligence Transformation covers a wide range of topics, including: Real-world AI use cases and examples Machine learning, deep learning, and slimantic modeling Risk management of AI models AI strategies for development and expansion AI Center of Excellence creating and management If you're an industry, business, or technology professional that wants to attain the skills needed to grow your machine learning capabilities and effectively scale the work you're already doing, you'll find what you need in Enterprise Artificial Intelligence Transformation.

Artificial Intelligence for Business
Artificial Intelligence for Business

Author: Jason L. Anderson

Publisher: John Wiley & Sons

Published: 2020-04-09

Total Pages: 179

ISBN-13: 1119651808

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Artificial Intelligence for Business: A Roadmap for Getting Started with AI will provide the reader with an easy to understand roadmap for how to take an organization through the adoption of AI technology. It will first help with the identification of which business problems and opportunities are right for AI and how to prioritize them to maximize the likelihood of success. Specific methodologies are introduced to help with finding critical training data within an organization and how to fill data gaps if they exist. With data in hand, a scoped prototype can be built to limit risk and provide tangible value to the organization as a whole to justify further investment. Finally, a production level AI system can be developed with best practices to ensure quality with not only the application code, but also the AI models. Finally, with this particular AI adoption journey at an end, the authors will show that there is additional value to be gained by iterating on this AI adoption lifecycle and improving other parts of the organization.