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 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.  

Latest Update: September 2023 (Updated Generative AI Tools - RunwayML, Claude 2, Ideomatic; Additional Resources). "Generative AI is a new form of creativity that will redefine human expression." – Sam Altman. "Generative AI is the most exciting and terrifying technology ever encountered." – Lex Fridman. Do you want an easy guide to understanding AI? Curious about the hype around generative AI? Looking for ways to use ChatGPT, MidJourney or RunwayML for business & personal gain? If you find yourself nodding in agreement, then this book is exactly for you.

Many companies are stuck with digital transformations that are not moving the needle. There are no quick fixes but there is a playbook. The answer is in rewiring your business so hundreds, thousands, of teams can harness technology to continuously create great customer experiences, lower unit costs, and generate value. It's the capabilities of the organization that win the race. McKinsey Digital's top leaders Eric Lamarre, Kate Smaje, and Rodney W. Zemmel provide proven how-to details on what it takes in six comprehensive sections.

ChatGPT is going to forever change how we use the internet. We currently live in a world where businesses are paying hundreds of dollars to people for writing engaging articles and blogs, and thousands of dollars per month for social media marketing and SEO.

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.

Just months ago, millions of people were stunned by ChatGPT's amazing abilities–and its bizarre hallucinations. But that was 2022. GPT-4 is now here, with smarter, more accurate, and deeper technical knowledge. GPT-4 and its competitors and followers are on the verge of transforming medicine. But with lives on the line, you need to understand these technologies–stat.

From product design and financial modeling to performance management and hiring decisions—artificial intelligence and machine learning are becoming everyday tools for managers at businesses of all sizes. But the rewards of every AI system come with risks—and if you don't understand how to make sense of them, you're not going to make the right decisions. Whether you want to get up to speed quickly, could just use a refresher, or are working with an AI expert for the first time, HBR Guide to AI Basics for Managers will give you the information and skills you need.

Artificial intelligence is forecasted to have trillions of dollars of impact on businesses and the economy, yet many marketers struggle to understand what it is and how to apply it in their marketing efforts. The truth is, AI possesses the power to change everything. Marketing Artificial Intelligence draws on years of research and dozens of interviews with AI marketers, executives, engineers, and entrepreneurs. Roetzer and Kaput present the current potential of AI, as well as a glimpse into the near future.

Written by bestselling author Tom Davenport and Deloitte's Nitin Mittal, All-In on AI looks at artificial intelligence at its cutting edge from the viewpoint of established companies like Anthem, Ping An, Airbus, and Capital One. Filled with insights, strategies, and best practices, All-In on AI also provides leaders and their teams with the information they need to help their own companies take AI to the next level.

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.

Today's "machine-learning" systems, trained by data, are so effective that we've invited them to see and hear for us - and to make decisions on our behalf. But alarm bells are ringing. Systems cull résumés until, years later, we discover that they have inherent gender biases. Algorithms decide bail and parole - and appear to assess black and white defendants differently. We can no longer assume that our mortgage application, or even our medical tests, will be seen by human eyes. And autonomous vehicles on our streets can injure or kill.

More and more traditional professional services firms are turning to "productization" as a strategy to grow, improve valuations, and to fend off new digital-first competitors. However, many of them will fail and waste a lot of money in the process. Productize first outlines the "Seven Deadly Productization Mistakes" made when pursuing a product strategy, then provides the blueprint for overcoming each of these missteps. It is designed to be a practical playbook for any leader of a professional services business who wants to successfully accelerate growth.

Data engineering has grown rapidly in the past decade, leaving many software engineers, data scientists, and analysts looking for a comprehensive view of this practice. With this practical book, you'll learn how to plan and build systems to serve the needs of your organization and customers by evaluating the best technologies available through the framework of the data engineering lifecycle.

You know your product is awesome, but does anybody else? Forget everything you thought you knew about positioning. Successfully connecting your product with consumers isn’t a matter of following trends, comparing yourself to the competition, or trying to attract the widest customer base. So, what is it? April Dunford, positioning guru and tech executive, will enlighten you.