Showing results by publisher "Ascent Audio" in Computer Science

In Untangling AI, founder and Chief AI Officer at Multiplai Tech, Matt Kesby, delivers an incisive roadmap for business leaders interested in assessing where their companies stand in the AI adoption lifecycle and where they want to go. Kesby explains how to rethink your current operational model...

Renowned AI strategist and pioneer Mark Minevich delivers an exciting and practical discussion of how to implement groundbreaking artificial intelligence technologies at every level of your organization. You'll learn to create sustainable, effective competitive advantage by introducing previously unheard-of levels of adaptability, resilience, and innovation into your company.

In this updated edition, Steve Portigal quickly and effectively dispels the myth that interviewing is trivial. He shows how research studies and logistics can be used to determine concrete goals for a business and takes the listener on a detailed journey into the specifics of interviewing techniques, best practices, fieldwork, documentation, and how to make sense of uncovered data. Then Steve takes the process even further—showing the methods and details behind asking questions—from the words themselves to the interviewer's actions and how they influence an interview.

Decision intelligence (DI) has been widely named as a top technology trend for several years, and Gartner reports that more than a third of large organizations are adopting it. Some even say that DI is the next step in the evolution of AI. Many software vendors offer DI solutions today, as they help organizations implement their evidence-based or data-driven decision strategies. But until now, there has been little practical guidance for organizations to formalize decision making and integrate their decisions with data. With this book, authors L. Y. Pratt and N. E. Malcolm fill this gap.

Easy to understand and engaging, this updated edition of Introducing Python is ideal for beginning programmers as well as those new to the language. Author Bill Lubanovic takes you from the basics to more involved and varied topics, mixing tutorials with cookbook-style code recipes to explain concepts in Python 3. End-of-chapter exercises help you practice what you've learned.

Through a recent series of breakthroughs, deep learning has boosted the entire field of machine learning. Now, even programmers who know close to nothing about this technology can use simple, efficient tools to implement programs capable of learning from data. This bestselling book uses concrete...

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 powers Google's search engine, enables Facebook to target advertising, and allows Alexa and Siri to do their jobs. AI is also behind self-driving cars, predictive policing, and autonomous weapons that can kill without human intervention. These and other AI applications raise complex ethical issues that are the subject of ongoing debate. This volume in the MIT Press Essential Knowledge series offers an accessible synthesis of these issues.

AI is coming fast and will affect every part of a business, including the role of the leader. And up until now, leaders have largely ceded their role in the transformation-pushing determination of strategy out to tech teams and leaving investment decisions with groups that don't have a full view of the organization. Just when responsible leadership is more imperative than ever, leaders are not stepping up to understand and execute in the new world of human-machine collaboration. A generation of AI transformation failures awaits if leaders don't connect their use of AI to their strategies.

Thinking with Machines: The Brave New World of AI tells the story of AI from its very beginnings through the eyes of Vasant Dhar, currently Robert A Miller Professor at the Stern School of Business, and Professor of Data Science at New York University. Professor Dhar lived through the invention of AI algorithms and their various permutations until today. He brought AI to Wall Street in the '90s and was the first to teach AI at NYU Stern.

In The AI Engineering Bootcamp: Build, Ship, Share, AI Makerspace cofounders "Dr. Greg" Loughnane and Chris "The Wiz" Alexiuk guide the listener through the foundational concepts and code needed to build production-grade Large Language Model (LLM) applications using leading open-source tooling. The book explains the four primary design patterns of generative AI―prompt engineering, Retrieval Augmented Generation (RAG), fine-tuning, and agentic reasoning―and how to leverage them as first principles to build scalable LLM applications that are high-performance and efficient.

As AI becomes smarter and more humanlike, our societies, our economies, and our humanity will undergo the most dramatic changes we've seen since the Agricultural Revolution. Some of these changes will enhance our species. Others may dehumanize us and make us more machinelike in our interactions with others. It's up to us to adapt and determine how we want to live and work. Are you ready? In I, Human psychologist Tomas Chamorro-Premuzic offers a guide for reclaiming ourselves in a world in which most of our decisions will be made for us.

We've arrived in a new era—GenAI is reshaping industries and decision-making processes across the board. As a result, understanding their potential and pitfalls has become crucial. But in order to stay ahead of the curve, you'll need to develop fresh perspectives on leveraging AI beyond mere technical know-how. Geared toward business leaders and tech professionals alike, this book demystifies the strategic integration of AI into business practices, ensuring you're equipped not just to participate but to lead in this new landscape.

The celebrated author of The Making of Second Life and Game Design Secrets Wagner, James Au, delivers an engrossing exploration of how nascent metaverse platforms have already captured the imagination of millions. Featuring powerful stories and dozens of incisive interviews with insiders including Metaverse creator Neal Stephenson himself, the author uses his unique, grassroots-level perspective as the first reporter embedded in a metaverse platform.

In this volume in the MIT Press Essential Knowledge series, computer scientist John Kelleher offers an accessible and concise but comprehensive introduction to the fundamental technology at the heart of the artificial intelligence revolution. Kelleher explains some of the basic concepts in deep learning, presents a history of advances in the field, and discusses the current state of the art.

Humans have always been good at inventing tools that change the way we live and work—though not always good at adapting to those changes. Consider how the internet has given us instant access to gigabytes of data and yet has made us more distracted. Or how social media has enabled us to be more connected than ever, and yet it can also alienate or isolate us. Will the power of AI create a new era of robotic, impersonal efficiency, or will it catalyze a renaissance, redefining leadership and the world of work?

Beginning in the 1970s, several scientific breakthroughs promised to transform the creation of new medicines. As investors sought to capitalize on these Nobel Prize-winning discoveries, the biotech industry grew to thousands of small companies around the world. Each sought to emulate what the major pharmaceutical companies had been doing for a century or more, but without the advantages of scale, scope, experience, and massive resources. From Breakthrough to Blockbuster focuses on both the companies themselves and the broader biotech ecosystem that supports them.

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.

Large language models (LLMs) and generative AI are rapidly changing the healthcare industry. These technologies have the potential to revolutionize healthcare by improving the efficiency, accuracy, and personalization of care. This practical book shows healthcare leaders, researchers, data scientists, and AI engineers the potential of LLMs and generative AI today and in the future, using storytelling and illustrative use cases in healthcare.

Celebrated data-driven growth leader Lillian Pierson delivers a masterclass in developing custom strategies to harness the full potential of data and AI within your organization. This book offers a clear, actionable roadmap for leveraging your company's data and technology assets to drive significant, reliable growth.