Artificial intelligence is changing our world faster than we can imagine, and it will impact every area of our lives. And this is happening whether we like it or not. You might have heard that many jobs will be replaced by automation and robots, but did you also know that at the same time a huge number of new jobs will be created by AI? This book covers many fascinating and timely topics related to artificial intelligence, including: self-driving cars, robots, chatbots, and how AI will impact the job market, business processes, and entire industries, just to name a few.

What to Do When Machines Do Everything is a guidebook to succeeding in the next generation of the digital economy. When systems running on artificial intelligence can drive our cars, diagnose medical patients, and manage our finances more effectively than humans, it raises profound questions on the future of work and how companies compete.

The Amazon Way on IoT is for the leader who wants to understand how the Internet of things is transforming business and society. Listeners will discover business cases, key concepts, technologies and tools to help develop, explain and execute their own IoT approach through understanding Amazon's and other leading companies sophisticated IoT technologies and strategies.

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 listeners 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.

In their bestselling first book, Prediction Machines, eminent economists Ajay Agrawal, Joshua Gans, and Avi Goldfarb explained the simple yet game-changing economics of AI. Now, in Power and Prediction, they go deeper, examining the most basic unit of analysis: the decision. The authors explain that the two key decision-making ingredients are prediction and judgment, and we perform both together in our minds, often without realizing it.

In The Attacker's Advantage, Charan reveals the upside of uncertainty for those leaders who are nimbly positioned to anticipate the catalysts of disruption and embrace change. He updates and adapts the principles of his previous best sellers to address the current turbulent business environment, cutting through the veil of complexity to concentrate on the new customer needs and expectations and providing the tools for corporate leaders to take their companies to a higher level.

Jeanne Liedtka and Tim Ogilvie educate listeners on one of the hottest trends in business development: "design thinking", or the ability to turn abstract ideas into practical applications for maximal business growth. Jeanne Liedtka's recent book, The Catalyst: How YOU Can Lead Extraordinary Growth, was named a Top Innovation and Design Thinking Book by Business Week. Tim Ogilvie has been hailed as a visionary for his pioneering contributions to service innovation, business model innovation, and customer experience design.

The best-selling author of Big Data is back, this time with a unique and in-depth insight into how specific companies use big data. Big data is on the tip of everyone's tongue. Everyone understands its power and importance, but many fail to grasp the actionable steps and resources required to utilise it effectively. This book fills the knowledge gap by showing how major companies are using big data every day, from an up-close, on-the-ground perspective.

The confluence of four technologies - elastic cloud computing, big data, artificial intelligence, and the internet of things - writes Siebel, is fundamentally changing how business and government will operate in the 21st century. Siebel masterfully guides listeners through a fascinating discussion of the game-changing technologies driving digital transformation and provides a roadmap to seize them as a strategic opportunity.

The race is on to become a digital enterprise. Every organization has a plan for updating products, technologies, and business processes. But that's not enough anymore. With disruptive startups outperforming industry stalwarts, executives everywhere are pushing greater growth and innovation. Staying competitive demands a complete digital transformation.

“What would Jeff do?” Since leaving Amazon to advise start-ups and corporations, John Rossman has been asked this question countless times by executives who want to know “the secret” behind Amazon’s historic success. In this step-by-step guide, he provides 50½ answers drawn from his experience as an Amazon executive - and shows today’s business leaders how to think like Amazon, strategize like Bezos, and beat the competition like nobody’s business.

Many people today are so dazzled by the long-term potential for artificial intelligence that they overlook the much clearer and more immediate potential for a new form of "collective intelligence": the intelligence of groups of people and computers working together. In Superminds, Thomas Malone explains what we need to do to take advantage of this potential. Groundbreaking and utterly fascinating, Superminds will change the way you work - both with others and with computers - for the better.

This book predicts the decline of today's professions and describes the people and systems that will replace them. In an Internet society, according to Richard Susskind and Daniel Susskind, we will neither need nor want doctors, teachers, accountants, architects, the clergy, consultants, lawyers, and many others to work as they did in the 20th century.

Design-oriented firms such as Apple and IDEO have demonstrated how design thinking can directly affect business results. Yet most managers lack a real sense of how to put this new approach to use for issues other than product development and sales growth. Solving Problems with Design Thinking details 10 real-world examples of managers who successfully applied design methods at 3M, Toyota, IBM, Intuit, and SAP; entrepreneurial start-ups such as MeYou Health; and government and social sector organizations.

Jobs to Be Done gives you a clear-cut framework for thinking about your business, outlines a road map for discovering new markets, new products, and new services, and helps you generate creative opportunities to innovate your way to success.

In industry after industry, data, analytics, and AI-driven processes are transforming the nature of work. While we often still treat AI as the domain of a specific skill, business function, or sector, we have entered a new era in which AI is challenging the very concept of the firm. AI-centric organizations exhibit a new operating architecture, redefining how they create, capture, share, and deliver value.

In their groundbreaking book Human + Machine, Accenture technology leaders Paul Daugherty and H. James Wilson showed how leading organizations use the power of human-machine collaboration to transform their businesses and their bottom lines. Now those companies and other pioneers across industries are reshaping the very nature of innovation. In Radically Human, Daugherty and Wilson show this profound shift - how artificial intelligence is becoming less artificial and more intelligent.

AI is much more than a sexy marketing gimmick. At its core, it’s a powerful business tool that can make operations and decision-making more efficient, employees more productive, and customers delighted. Unfortunately, leaders who want to take advantage of artificial intelligence often don’t know where to start. The process can feel overwhelming—from analyzing existing processes and software systems and choosing where to apply AI automation, to preparing every tier of the organization for the transition.

In their bestselling first book, Prediction Machines, eminent economists Ajay Agrawal, Joshua Gans, and Avi Goldfarb explained the simple yet game-changing economics of AI. Now, in Power and Prediction, they go deeper, examining the most basic unit of analysis: the decision. The authors explain that the two key decision-making ingredients are prediction and judgment, and we perform both together in our minds, often without realizing it.

The greatest threat we face is not robots replacing us, but our reluctance to reinvent ourselves. We live in an age of wonder: cars that drive themselves, devices that anticipate our needs, and robots capable of everything from advanced manufacturing to complex surgery. Automation, algorithms, and AI will transform every facet of daily life, but are we prepared for what that means for the future of work, leadership, and creativity?

Get more of the management ideas you want, from the authors you trust. With insights from leading experts, this book will inspire you to identify areas for personal growth; assess your strengths, work preferences, values, and contributions; build your skill set and stay relevant; develop learning agility; map out a plan for where you'd like your career to go - both short and long term; find fulfillment in your work; and prepare for your next opportunity.

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 listeners 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.

In Artificial Intelligence, Mitchell turns to the most urgent questions concerning AI today: How intelligent - really - are the best AI programs? How do they work? What can they actually do, and when do they fail? How humanlike do we expect them to become, and how soon do we need to worry about them surpassing us? Along the way, she introduces the dominant methods of modern AI and machine learning, describing cutting-edge AI programs, their human inventors, and the historical lines of thought that led to recent achievements.

In AI Superpowers, Kai-fu Lee argues powerfully that because of these unprecedented developments in AI, dramatic changes will be happening much sooner than many of us expected. Indeed, as the US-Sino AI competition begins to heat up, Lee urges the US and China to both accept and to embrace the great responsibilities that come with significant technological power.

Your organization's culture is the key to its success. Strategic planning is essential. People's competencies should be measured and their weaknesses shored up. People crave feedback. These may sound like basic truths of our work lives today. But actually, they're lies. As Marcus Buckingham and Ashley Goodall show in this provocative, inspiring book, there are some big lies - distortions, faulty assumptions, wrong thinking - running through our organizational lives.

Ready to propel your business into the AI revolution? Curious about how to harness the power of AI, even without technical know-how? Launch into a world of limitless opportunities with ChatGPT, the AI tool that's revolutionizing the landscape of business.

Artificial intelligence does the seemingly impossible - driving cars, trading stocks, and teaching children. But facing the sea change that AI will bring can be paralyzing. How should companies set strategies, governments design policies, and people plan their lives for a world so different from what we know? In Prediction Machines, three eminent economists recast the rise of AI as a drop in the cost of prediction. With this single, masterful stroke, they lift the curtain on the AI-is-magic hype and show how basic tools from economics provide clarity about the AI revolution and a basis for action by CEOs, managers, policy makers, investors, and entrepreneurs.

Why is profitable growth so hard to achieve and sustain? Most executives manage their companies as if the solution to that problem lies in the external environment: find an attractive market, formulate the right strategy, win new customers. But when Bain & Company's Chris Zook and James Allen researched this question, they found that when companies fail to achieve their growth targets, 90 percent of the time the root causes are internal, not external.

Under the aegis of machine learning in our data-driven machine age, computers are programming themselves and learning about - and solving - an extraordinary range of problems, from the mundane to the most daunting. Today it is machine learning programs that enable Amazon and Netflix to predict what users will like, Apple to power Siri's ability to understand voices, and Google to pilot cars.

The digital revolution is here. It's changing how work gets done, how industries are structured, and how people from all walks of life work, behave and relate to each other. To thrive in a world driven by data and powered by algorithms, we must learn to see, think, and act in new ways. With the digital mindset, you can ask the right questions, make smart decisions and appreciate new possibilities for a digital future. Leaders who adopt these approaches will be able to develop their organization's talent to prepare their company for successful and continued digital transformation.