Computer Intelligence

In 2024 Artificial Intelligence is all the rage. Here are ten businesses that can be enhanced by using AI.

How can leaders adapt to the rapid change of technology's impact on business? How can AI be leveraged for more intelligent decision making? Can our choices be simultaneously good for business and the world? This book provides leaders with the first steps to answer these important questions. For over thirty years, technology has become more interwoven with both our professional and personal lives. In the future, the integration of tech, business, and life will become even more seamless.

Today, many decisions that could be made by human beings, from predicting earthquakes to interpreting languages, can now be made by computer algorithms with advanced analytic capabilities. Every day, we make millions of decisions. However, these decisions may be imperfect due to limited experience, implicit biases, or faulty probabilistic reasoning. Algorithms can better predict human behavior than trained psychologists and with much simpler criteria. Discover how algorithms shape and impact our world.

Artificial intelligence (AI) is a powerful general-purpose technology that is reshaping the modern economy, but misperceptions about AI stand in the way of harnessing it for the betterment of humanity. In Thrive, Ravi Bapna and Anindya Ghose counter the backlash by showcasing how AI is positively influencing the aspects of our daily lives that we care about most: our health and wellness, relationships, education, the workplace, and domestic life.

In Only Humans Need Apply, Thomas Hayes Davenport and Julia Kirby reframe the conversation about automation, arguing that the future of increased productivity and business success isn't either human or machine. It's both. The key is augmentation, utilizing technology to help humans work better, smarter, and faster. Instead of viewing these machines as competitive interlopers, we can see them as partners and collaborators in creative problem solving as we move into the next era.

In Autonomy, former GM executive and current advisor to the Google Self-Driving Car project Lawrence Burns offers a sweeping history of the race to make the driverless car a reality. In the past decade, Silicon Valley companies like Google, Tesla and Uber have positioned themselves to revolutionize the way we move around by developing driverless vehicles while traditional auto companies like General Motors, Ford, and Daimler have been fighting back by partnering by with new tech start-ups.

It seems that just about every new technology that we bring to bear on improving our lives brings with it some downside, side effect, or unintended consequence. These issues can pose very real and growing ethical problems for all of us. For example, automated facial recognition can make life easier and safer for us—but it also poses huge issues with regard to privacy, ownership of data, and even identity theft. Technology Is Not Neutral addresses one of today’s most pressing problems: How to create and use tools and technologies to maximize benefits and minimize harms.

The Security Intelligence Handbook is your definitive guide for proactive risk reduction. This edition has been updated to include a new foreword about the unprecedented state of cyber and physical security, a sharpened focus on six critical security functions, an expanded discussion of security intelligence’s applications for specific teams, and a new conclusion that explores the results you may achieve with security intelligence.

Dozens of times per day, we all interact with intelligent machines that are constantly learning from the wealth of data now available to them. These machines are remaking the world of the 21st century in the same way that the Industrial Revolution remade the world of the 19th century. AIQ is based on a simple premise: If you want to understand the modern world, then you have to know a little bit of the mathematical language spoken by intelligent machines. AIQ will teach listeners that language - but in an unconventional way, anchored in stories rather than mathematics.

In a world increasingly shaped by artificial intelligence, “AI for Everyone: A Simple Guide” demystifies the complexities of AI and makes it accessible to all. This essential listen breaks down the fundamentals of AI technology, explaining what it is, how it works, and its potential impact on our daily lives and future.

A comprehensive guide to successful event management, this audiobook serves as a valuable resource for both beginners and seasoned professionals, equipping them with the tools needed to plan, execute, and evaluate memorable events. The guide takes listeners through a deep exploration of understanding their audience, conceptualizing resonant events, managing budgets, procuring vendors, effectively marketing, and embracing technology. It also emphasizes the power of networking and the importance of post-event evaluation for continuous improvement.

In 2023, hundreds of machine-learning scientists signed an open letter warning about our risk of extinction from smarter-than-human AI. Yet today, the race to develop superhuman AI is only accelerating, as many tech CEOs throw caution to the wind, aggressively scaling up systems they don't understand—and won’t be able to restrain. There is a good chance that they will succeed in building an artificial superintelligence on a timescale of years or decades. And no one is prepared for what will happen next.

Ten years from today, the center of our digital lives will no longer be the smart phone, but device that looks like ordinary eyeglasses: except those glasses will have settings for virtual and augmented reality. What you really see and what is computer generated will be mixed so tightly together, that we won't really be able to tell what is real and what is illusion.

画期的な本ができました！◎仕事時間が1/3になる！ ◎すぐにマネできる！ ◎プロの使い方がわかる！★ChatGPT＆Copilotに対応した本 ★初心者からプロまで、わかりやすくお伝え

Data Lake Architecture will explain how to build a useful data lake where data scientists and data analysts can solve business challenges and identify new business opportunities. Learn how to structure data lakes as well as analog, application, and text-based data ponds to provide maximum business value. Understand the role of the raw data pond and when to use an archival data pond. Leverage the four key ingredients for data lake success: metadata, integration mapping, context, and metaprocess.

In You Will Not Lose Your Job Because of Chat GPT, but Because of Not Using It, author Winston Stanfield provides a comprehensive guide to understanding and thriving in the rapidly evolving world of artificial intelligence (AI) in the workplace.

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.

Descubre los secretos de la tecnología con el primer libro del divulgador de informática más famoso de Hispanoamérica. Piénsalo: gracias a los avances tecnológicos podemos hablar con alguien que esté a miles de kilómetros, predecir el tiempo, cruzar el planeta en cuestión de horas, conocer nuestro estado de salud, curar enfermedades graves, acceder al instante a más información de la que nunca seremos capaces de leer... ¡Si incluso hemos conseguido hacer que las máquinas aprendan!

Your organization has made the decision to adopt automation and artificial intelligence technologies. Now, you face difficult and stubborn questions about how to implement that decision: How, when, and where should we apply automation in our organization? Is it a stark choice between humans versus machines? How do we stay on top of these technological trends as work and automation continue to evolve? Work and human capital experts Ravin Jesuthasan and John Boudreau present leaders with a new set of tools to answer these daunting questions.

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.