Artificial Intelligence And Machine Learning In Business Strategies For Digital Transformation
Download Artificial Intelligence And Machine Learning In Business Strategies For Digital Transformation PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Artificial Intelligence And Machine Learning In Business Strategies For Digital Transformation book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages.
Artificial Intelligence and Machine Learning in Business: Strategies for Digital Transformation
Author: Ravi Mandliya Dr. Rahul Kumar
language: en
Publisher: DeepMisti Publication
Release Date: 2025-01-18
Artificial Intelligence (AI) and Machine Learning (ML) are no longer the technologies of tomorrow—they are the driving forces of today’s digital transformation. Across industries, businesses are leveraging these powerful tools to optimize operations, deliver personalized customer experiences, and gain a competitive edge. Yet, the path to harnessing AI and ML effectively is riddled with challenges, from strategic integration to ethical considerations. "Artificial Intelligence and Machine Learning in Business: Strategies for Digital Transformation" is designed to bridge the gap between technical innovation and practical application. This book provides business leaders, strategists, and technology enthusiasts with a roadmap to understand, implement, and scale AI and ML initiatives in the context of modern business environments. The pages ahead delve into: • The fundamentals of AI and ML and their relevance to business strategy. • Case studies that showcase successful digital transformations across various industries. • Frameworks for identifying opportunities where AI and ML can drive value. • Guidance on navigating ethical concerns and ensuring responsible AI use. • Techniques for fostering organizational readiness and talent development. The goal of this book is not just to demystify AI and ML but to empower readers to see them as integral tools for driving innovation and achieving measurable outcomes. By focusing on real- world applications, we aim to provide insights that resonate with both technical teams and decision-makers, fostering collaboration across the enterprise. In a rapidly changing digital landscape, businesses must adapt or risk being left behind. AI and ML offer not only the means to adapt but also the opportunity to lead. This book serves as a companion for those ready to embark on this transformative journey, offering strategies that are both visionary and actionable Authors
Machine, Platform, Crowd: Harnessing Our Digital Future
Author: Andrew McAfee
language: en
Publisher: W. W. Norton & Company
Release Date: 2017-06-27
“A clear and crisply written account of machine intelligence, big data and the sharing economy. But McAfee and Brynjolfsson also wisely acknowledge the limitations of their futurology and avoid over-simplification.” —Financial Times In The Second Machine Age, Andrew McAfee and Erik Brynjolfsson predicted some of the far-reaching effects of digital technologies on our lives and businesses. Now they’ve written a guide to help readers make the most of our collective future. Machine | Platform | Crowd outlines the opportunities and challenges inherent in the science fiction technologies that have come to life in recent years, like self-driving cars and 3D printers, online platforms for renting outfits and scheduling workouts, or crowd-sourced medical research and financial instruments.
Competing in the Age of AI
Author: Marco Iansiti
language: en
Publisher: Harvard Business Press
Release Date: 2020-01-07
"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.