Business Computer Science

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.

Machine learning (ML) is changing virtually every aspect of our lives. Today ML algorithms accomplish tasks that until recently only expert humans could perform. As it relates to finance, this is the most exciting time to adopt a disruptive technology that will transform how everyone invests for generations. The book addresses real-life problems faced by practitioners on a daily basis and explains scientifically sound solutions using math, supported by code and examples.

Today, organizations are grappling with ambiguity, volatility, and paradox surrounding the challenges they face. This is complexity. But too many leaders approach complexity the wrong way - they push their people harder and harder and tackle problems one at a time over months, sometimes even years and nearly always in a linear fashion. It’s like setting a pot of water on “low” and waiting for it to boil. In this book, the authors share their proven formula for dramatically shortening the process and solving an organization’s toughest challenges in mere days.

High performing organizations see better results than their contemporaries and have more satisfied employees. This book clarifies this unique point in history where key technologies like AI, collaboration platforms, and low code development have converged to transform project and work management and provides practical strategies for seizing this moment to become a higher performing organization with happier people. In the ever-evolving landscape of business and technology, project management stands as a critical pillar, orchestrating the rhythm of progress and innovation.

Inside this captivating guide, you'll discover a treasure trove of strategies, tips, and real-world examples that will empower you to break free from the traditional nine-to-five drudgery and pave the way toward a life of abundant wealth and leisure.

Most organizations view data monetization—converting data into money—too narrowly: as merely selling data sets. But data monetization is a core business activity for both commercial and noncommercial organizations, and, within organizations, it’s critical to have wide-ranging support for this pursuit. In Data Is Everybody’s Business, the authors offer a clear and engaging way for people across the entire organization to understand data monetization and make it happen.

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.

We are in the midst of an unprecedented degree of technology-driven change at the same time that society faces challenges more complex than our organizations and we as individuals have been prepared to handle. Autonomous Transformation: Creating a More Human Future in the Era of Artificial Intelligence is for leaders who want to create a better future within this context of change and supplies a balance of historical and theoretical context with practical frameworks for beginning to create a more human future today.

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.

Creative Selection recounts the life of one of the few who worked behind the scenes, a highly respected software engineer who worked in the final years of the Steve Jobs era - the Golden Age of Apple. Ken Kocienda offers an inside look at Apple’s creative process. For 15 years, he was on the ground floor of the company as a specialist, directly responsible for experimenting with novel user interface concepts and writing powerful, easy-to-use software for products including the iPhone, the iPad, and the Safari web browser.

In Fusion Strategy, world-renowned innovation guru Vijay Govindarajan and digital strategy expert Venkat Venkataraman offer a first-of-its-kind playbook that will help industrial companies combine what they do best-create physical products-with what digitals do best-use algorithms and AI to parse expansive, interconnected datasets-to make strategic connections that would otherwise be impossible.

Based on more than 40 interviews with Jobs conducted over two years - as well as interviews with more than a hundred family members, friends, adversaries, competitors, and colleagues - Walter Isaacson has written a riveting story of the roller-coaster life and searingly intense personality of a creative entrepreneur whose passion for perfection and ferocious drive revolutionized six industries: personal computers, animated movies, music, phones, tablet computing, and digital publishing.

Artificial intelligence is no longer the stuff of science fiction—it's a tangible, transformative force reshaping industries and redefining business success. Yet for many business leaders, the journey from curiosity to AI implementation can be daunting. Where do you start? How do you navigate the technical jargon and hype? And, most importantly, how can you leverage AI to boost profits, streamline operations and gain a competitive edge?

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

Navigating the AI landscape can be intimidating, especially for non-technical leaders. But no matter your experience level, this book and its Companion Workbook are here to help!

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.

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.

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.

Technology rules us as much as laws do. It shapes the legal, social, and ethical environments in which we act. Every time we cross a street, drive a car, or go to the doctor, we submit to the silent power of technology. Yet, much of the time, the influence of technology on our lives goes unchallenged by citizens and our elected representatives. Our embrace of novel technological pathways, Sheila Jasanoff shows, leads to a complex interplay among technology, ethics, and human rights.

Rana el Kaliouby is a rarity in both the tech world and her native Middle East: a Muslim woman in charge in a field that is still overwhelmingly white and male. Growing up in Egypt and Kuwait, el Kaliouby was raised by a strict father who valued tradition - yet also had high expectations for his daughters - and a mother who was one of the first female computer programmers in the Middle East. Even before el Kaliouby broke ground as a scientist, she broke the rules of what it meant to be an obedient daughter and, later, an obedient wife to pursue her own daring dream.