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The Business Case for AI

The Business Case for AI
Author: Kavita Ganesan
Publisher: Opinosis Analytics Publishing
Total Pages: 316
Release: 2022-04-05
Genre:
ISBN: 9781544528717

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AI is much more than a sexy marketing gimmick. At its core, it's a powerful business tool that can make operations more efficient, employees more productive, and customers delighted. Unfortunately, leaders who want to take advantage of AI often don't know where to start. The process can feel overwhelming-from choosing where to apply AI to preparing every tier of the organization for the transition. In this practical guide for business leaders, Kavita Ganesan takes the mystery out of implementing AI, showing you how to launch AI initiatives that get results. With real-world AI examples to spark your own ideas, you'll learn how to identify high-impact AI opportunities, prepare for AI transitions, and measure your AI performance. Simple and compelling, The Business Case for AI gives leaders the information they need without the technical jargon. Whether you want to jumpstart your AI strategy, manage your AI initiatives for better outcomes, or simply find inspiration for your own AI applications, The Business Case for AI is your blueprint for AI success.


Artificial Intelligence for Business

Artificial Intelligence for Business
Author: Doug Rose
Publisher: FT Press
Total Pages: 293
Release: 2020-12-09
Genre: Business & Economics
ISBN: 0136556663

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The Easy Introduction to Machine Learning (Ml) for Nontechnical People--In Business and Beyond Artificial Intelligence for Business is your plain-English guide to Artificial Intelligence (AI) and Machine Learning (ML): how they work, what they can and cannot do, and how to start profiting from them. Writing for nontechnical executives and professionals, Doug Rose demystifies AI/ML technology with intuitive analogies and explanations honed through years of teaching and consulting. Rose explains everything from early “expert systems” to advanced deep learning networks. First, Rose explains how AI and ML emerged, exploring pivotal early ideas that continue to influence the field. Next, he deepens your understanding of key ML concepts, showing how machines can create strategies and learn from mistakes. Then, Rose introduces current powerful neural networks: systems inspired by the structure and function of the human brain. He concludes by introducing leading AI applications, from automated customer interactions to event prediction. Throughout, Rose stays focused on business: applying these technologies to leverage new opportunities and solve real problems. Compare the ways a machine can learn, and explore current leading ML algorithms Start with the right problems, and avoid common AI/ML project mistakes Use neural networks to automate decision-making and identify unexpected patterns Help neural networks learn more quickly and effectively Harness AI chatbots, virtual assistants, virtual agents, and conversational AI applications


Artificial Intelligence Business

Artificial Intelligence Business
Author: Przemek Chojecki
Publisher: Przemek Chojecki
Total Pages: 200
Release: 2020-07-15
Genre: Business & Economics
ISBN:

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** The concise guide to Artificial Intelligence for business people and commercially oriented data scientists ** We’re living through a revolution. Artificial Intelligence is changing how we operate in the world and how smooth certain processes are. Just think about going on holidays. Multiple services allow you to find the most convenient flights and best hotels, you get personalized suggestions on what you might want to see, you go to the airport via one of the ride-sharing apps. At each of these steps, some AI algorithms are at work for your convenience. With this book, you'll learn everything from what is Artificial Intelligence, to how AI influences our economy and society. We'll talk through trends in Machine Learning and commercial applications of Artificial Intelligence. Table of Contents: Introduction Why Artificial Intelligence Practical AI and how it is done Powering Enterprises with AI Boosting Startups with Artificial Intelligence One person enhanced with AI Trends in Artificial Intelligence AI in retail Manufacturing Logistics Robotics and Autonomous Vehicles Robotic Process Automation Image generation Text generation and Chatbots AI-powered education AI in Healthcare Cybersecurity powered by AI Climate Change Games and Reinforcement Learning Hardware and beyond Machine Learning Trends AI, Politics and Society Future of Artificial Intelligence


Artificial Intelligence for Business

Artificial Intelligence for Business
Author: Jason L. Anderson
Publisher: John Wiley & Sons
Total Pages: 179
Release: 2020-04-09
Genre: Business & Economics
ISBN: 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.


Summary of Kavita Ganesan's The Business Case for AI

Summary of Kavita Ganesan's The Business Case for AI
Author: Milkyway Media
Publisher: Milkyway Media
Total Pages: 43
Release: 2024-01-22
Genre: Computers
ISBN:

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Get the Summary of Kavita Ganesan's The Business Case for AI in 20 minutes. Please note: This is a summary & not the original book. "The Business Case for AI" by Kavita Ganesan explores the transformative impact of Artificial Intelligence (AI) on business operations. It details how AI automates tasks, reduces human error, and provides strategic insights, with examples like Visa's fraud detection and AI's role in healthcare diagnostics. The book emphasizes that AI augments human capabilities, focusing on artificial narrow intelligence (ANI) for specialized tasks...


Developing a Business Case

Developing a Business Case
Author: Harvard Business Review
Publisher: Harvard Business Press
Total Pages: 128
Release: 2010-12-02
Genre: Business & Economics
ISBN: 1422172627

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How do you decide on the best course of action for your company to take advantage of new opportunities? By building a business case. This book provides a framework for building a business case. You'll learn how to: Clearly define the opportunity you'll want to address in your business case Identify and analyze a range of alternatives Recommend one option and assess its risks Create a high-level implementation plan for your proposed alternative Communicate your case to key stakeholders


Digital Entrepreneurship

Digital Entrepreneurship
Author: Mariusz Soltanifar
Publisher: Springer Nature
Total Pages: 339
Release: 2020-11-13
Genre: Business & Economics
ISBN: 3030539148

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This open access book explores the global challenges and experiences related to digital entrepreneurial activities, using carefully selected examples from leading companies and economies that shape world business today and tomorrow. Digital entrepreneurship and the companies steering it have an enormous global impact; they promise to transform the business world and change the way we communicate with each other. These companies use digitalization and artificial intelligence to enhance the quality of decisions and augment their business and customer operations. This book demonstrates how cloud services are continuing to evolve; how cryptocurrencies are traded in the banking industry; how platforms are created to commercialize business, and how, taken together, these developments provide new opportunities in the digitalized era. Further, it discusses a wide range of digital factors changing the way businesses operate, including artificial intelligence, chatbots, voice search, augmented and virtual reality, as well as cyber threats and data privacy management. “Digitalization mirrors the Industrial Revolution’s impact. This book provides a complement of perspectives on the opportunities emanating from such a deep seated change in our economy. It is a comprehensive collection of thought leadership mapped into a very useful framework. Scholars, digital entrepreneurs and practitioners will benefit from this timely work.” Gina O’Connor, Professor of Innovation Management at Babson College, USA “This book defines and delineates the requirements for companies to enable their businesses to succeed in a post-COVID19 world. This book deftly examines how to accomplish and achieve digital entrepreneurship by leveraging cloud computing, AI, IoT and other critical technologies. This is truly a unique “must-read” book because it goes beyond theory and provides practical examples.” Charlie Isaacs, CTO of Customer Connection at Salesforce.com, USA "This book provides digital entrepreneurs useful guidance identifying, validating and building their venture. The international authors developed new perspectives on digital entrepreneurship that can support to create impact ventures.” Felix Staeritz, CEO FoundersLane, Member of the World Economic Forum Digital Leaders Board and bestselling author of FightBack, Germany


The AI Advantage

The AI Advantage
Author: Thomas H. Davenport
Publisher: MIT Press
Total Pages: 243
Release: 2019-08-06
Genre: Business & Economics
ISBN: 0262538008

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Cutting through the hype, a practical guide to using artificial intelligence for business benefits and competitive advantage. In The AI Advantage, Thomas Davenport offers a guide to using artificial intelligence in business. He describes what technologies are available and how companies can use them for business benefits and competitive advantage. He cuts through the hype of the AI craze—remember when it seemed plausible that IBM's Watson could cure cancer?—to explain how businesses can put artificial intelligence to work now, in the real world. His key recommendation: don't go for the “moonshot” (curing cancer, or synthesizing all investment knowledge); look for the “low-hanging fruit” to make your company more efficient. Davenport explains that the business value AI offers is solid rather than sexy or splashy. AI will improve products and processes and make decisions better informed—important but largely invisible tasks. AI technologies won't replace human workers but augment their capabilities, with smart machines to work alongside smart people. AI can automate structured and repetitive work; provide extensive analysis of data through machine learning (“analytics on steroids”), and engage with customers and employees via chatbots and intelligent agents. Companies should experiment with these technologies and develop their own expertise. Davenport describes the major AI technologies and explains how they are being used, reports on the AI work done by large commercial enterprises like Amazon and Google, and outlines strategies and steps to becoming a cognitive corporation. This book provides an invaluable guide to the real-world future of business AI. A book in the Management on the Cutting Edge series, published in cooperation with MIT Sloan Management Review.


The AI-Powered Enterprise

The AI-Powered Enterprise
Author: Seth Earley
Publisher: LifeTree Media
Total Pages: 203
Release: 2020-04-28
Genre: Business & Economics
ISBN: 1928055524

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Learn how to develop and employ an ontology, the secret weapon for successfully using artificial intelligence to create a powerful competitive advantage in your business. The AI-Powered Enterprise examines two fundamental questions: First, how will the future be different as a result of artificial intelligence? And second, what must companies do to stake their claim on that future? When the Web came along in the mid-90s, it transformed the behavior of customers and remade whole industries. Now, as part of its promise to bring revolutionary change in untold ways to human activity, artificial intelligence—AI—is about to create another complete transformation in how companies create and deliver value to customers. But despite the billions spent so far on bots and other tools, AI continues to stumble. Why can't it magically use all the data organizations generate to make them run faster and better? Because something is missing. AI works only when it understands the soul of the business. An ontology is a holistic digital model of every piece of information that matters to the business, from processes to products to people, and it's what makes the difference between the promise of AI and delivering on that promise. Business leaders who want to catch the AI wave—rather than be crushed by it—need to read The AI-Powered Enterprise. The book is the first to combine a sophisticated explanation of how AI works with a practical approach to applying AI to the problems of business, from customer experience to business operations to product development.


Applied Artificial Intelligence

Applied Artificial Intelligence
Author: Mariya Yao
Publisher:
Total Pages: 246
Release: 2018-04-30
Genre: Artificial intelligence
ISBN: 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.