Machine Business

As humans compete for work against faster, cheaper, and smarter technology, the flood of AI-generated information undermines traditional expertise, eroding essential skills like writing, analysis, and decision-making. Despite these challenges, AI presents immense opportunities for those who master its intricacies, such as driving innovation, improving efficiency, and creating new markets. Can we thread the needle balancing the immeasurable benefits with the profound risks that AI presents to our future?

Delinquent takes listeners on a journey from Capital One’s headquarters to street corners in Detroit, kitchen tables in Sacramento, and other places where debt affects people's everyday lives. Uncovering the true costs of consumer credit to American families in addition to the benefits, investigative journalist Elena Botella—formerly an industry insider who helped set credit policy at Capital One—reveals the underhanded and often predatory ways that banks induce American borrowers into debt they can’t pay back.

As Vikram Mansharamani shows in this eye-opening book, our complex, data-flooded world has made us ever more reliant on experts, protocols, and technology. We've stopped thinking for ourselves. Of course, experts, protocols, and computer-based systems are essential to helping us make informed decisions. What we need is a new approach for integrating these information sources more effectively. The author provides principles and techniques for doing just that, empowering listeners with a more critical and nuanced approach to making decisions.

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. Drawing upon real-world cases, data, and insight, the authors provide clear strategic guidance and actionable steps to help you and your organization move ahead in a world where exponentially developing new technologies are changing how value is created.

Unlock the transformative potential of generative AI for your enterprise with "Understanding Generative AI for Business Leaders." This indispensable guide simplifies the complex world of AI, offering a beginner-friendly introduction and practical strategies for effective and ethical integration.

In the world of investing, staying ahead of the curve is crucial for long-term success. This is where AI-powered trend analysis comes into play. By harnessing the power of artificial intelligence, investors can gain valuable insights into market trends and make informed decisions that can lead to future fortunes.

In March 2006, the world’s richest men sipped champagne in an opulent New York hotel. They were preparing to compete in a poker tournament with ­million-dollar stakes. At the card table that night was Peter Muller, who managed a fabulously successful hedge fund called PDT. With him was Ken Griffin, who was the tough-as-nails head of Citadel Investment Group. There, too, were Cliff Asness, the sharp-tongued, mercurial founder of the hedge fund AQR Capital Management, and Boaz Weinstein, chess “life master” and king of the credit-default swap.

Dre Baldwin shares content marketing ideas for a chiropractor.

Do you want to learn about business intelligence but don't feel like reading a boring textbook? In the modern business world, the pace of action continues to quicken. Businesses need to be able to get actionable insights from their data in order to make the right decisions to act rapidly and effectively. In this audiobook, you will be introduced to the concept of business intelligence.

For beginners and more experienced investors alike, Wall Street Money Machine is a dynamic and innovative guide to understanding Wall Street and making it work for you.

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.

Now, in the face of the "Great Resignation" and "botsourcing," thought leaders Sanders and Wood present a more positive and promising scenario, where an enterprise recognizes human resources as an asset class that possesses skills that cannot be replaced by automation. Enlightened business leaders will look to create synergy between technology and people, enabling the organization to maximize its capabilities by elevating the basis of decision making with closer-to-perfect information and rationality.

In nearly every industry, smart machines are replacing human labor. It's not just factory jobs - automated technologies are handling people's investments, diagnosing illnesses, and analyzing written documents. If we humans are going to endure, Edward Hess and Katherine Ludwig say we're going to need a dose of humility. We need to be humble enough to let go of the idea that "smart" means knowing the most, using that information quickest, and making the fewest mistakes. Smart machines will always be better than we are at those things.

Drawing on the experience and insights of CEOs across several industries, as well as lessons from neuroscience, computer science, psychology, and philosophy, BCG's Martin Reeves and Jack Fuller provide a fascinating look into the mechanics of imagination and lay out a six-step process for creating ideas and bringing them to life. The Imagination Machine is the guide you need to demystify and operationalize this powerful human capacity, to inject new life into your company, and to head into unknown territory with the right tools by your side.

A team of dedicated tech executives delivers a business-focused approach based on a deep and engaging exploration of the models and data used in causal AI. The book’s discussions include both accessible and understandable technical detail and business context and concepts that frame causal AI in familiar business settings.

Make better decisions with this easy deconstructed guide to data analytics. Want to add data analytics to your skill stack? Having trouble finding where to start? Cell-by-cell, bit-by-bit, this audiobook teaches you the vocabulary, tools, and basic algorithms to think like a data scientist. Like putting together a complex Lego set, each section connects and adds individual blocks of knowledge to build your data literacy. This linear structure to unpacking data analytics takes you from zero to confidently analyzing and discussing data problems.

Generative AI is our future, and with this action-filled guidebook, you can lift your organization to the next level.

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.

I knew that something needed to change, there had to be a way to make sales consistently and do it in a way that wouldn’t be a pain. It needed to be something that was beginner friendly and could make money relatively easily once everything was set up. Never would I have guessed that I would get my answer one day by stumbling across a beauty vending machine while I was at the mall. I knew this was the path I needed to follow, and now I’m ready to teach you how to do the same thing.

The promise of artificial intelligence is automated decision-making at scale, but that means AI also automates risk at scale. In Ethical Machines, Reid Blackman gives you all you need to understand AI ethics as a risk management challenge. He'll help you build, procure, and deploy AI in a way that's not only ethical but also safe in terms of your organization's reputation, regulatory compliance, and legal standing—and do it at scale. And don't worry—the book's purpose is to get work done, not to ponder deep and existential questions about ethics and technology.