Tag: Artificial Intelligence

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Artificial Intelligence Education Innovation Reading

Latest Read: What To Do When Machines Do Everything

What To Do When Machines Do Everything: How to Get Ahead in a World of AI, Algorithms, Bots, and Big Data by Malcolm Frank, Paul Roehrig, and Ben Pring.

What To Do When Machines Do Everything: How to Get Ahead in a World of AI, Algorithms, Bots, and Big Data by Malcolm Frank, Paul Roehrig, and Ben Pring

Malcolm holds a BA in Economics from Yale University. He is the former Chief Strategy Officer and Chief Marketing Officer of Cognizant Technology Solutions.

Paul holds a BS in journalism from the University of Florida and Doctor of Philosophy from Syracuse University. He was a Principal Analyst at Forrester Research and Global Managing Director of Cognizant’s Center for the Future of Work. Today he his Chief Strategy and Marketing Officer at Ascendion.

Ben holds a BA in Philosophy from the University of Manchester UK. He is a former Vice President at Gartner and Vice President, Head of Thought Leadership, and Director at Cognizant Technology Solutions.

There are few books that made an immediate impact upon reading them. This is one such book and I highly recommend this to anyone working or striving to understand the role of AI that is transforming the world today.

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Artificial Intelligence Education Reading

Latest Read: The Complete Obsolete Guide to Generative AI

The Complete Obsolete Guide to Generative AI by David Clinton.

The Complete Obsolete Guide to Generative AI by David Clinton

David is an AWS Solutions Architect, Linux server administrator and author of many Linux and Amazon technologies.

The Complete Obsolete Guide to Generative AI is in fact actually fun to read. Yet at the same time David is delivering a practical introduction. To be fair, beyond his humor, David acknowledges the fluid pace of change in the AI marketplace. This has pushed ChatGPT, Copilot, and Claude to evolve ever so quickly that much of what the general public learns is soon outdated. His focus is to reveal the need for a constant understanding of Generative AI’s core concepts.

So, this book is providing readers with the general, bigger picture of tools and methods for creating text, code, and imaging, touches on the strategies for writing effective prompts. He is addressing all the topics the world has been hearing about.

This also dives into data analytics, training models on local devices or clouds, building custom AI models, and even insights to establish your own large language model. Exercises will help readers learn how generative AI can transform daily work tasks and communications, making Generative AI accessible to all rather than intimidating everyone.

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Artificial Intelligence Education Innovation Reading Technology

Latest Read: AI for Good

AI for Good: Applications in Sustainability, Humanitarian Action, and Health by William B. Weeks and Juan M. Lavista Ferres.

AI for Good: Applications in Sustainability, Humanitarian Action, and Health by William B. Weeks and Juan M. Lavista Ferres

William holds a BS in Biology/ChemistryBachelor of Science from Whitman College, MD from The University of Texas Medical Branch, and PhD in Economics from Aix-Marseille University France. Today he is Director, AI for Health at Microsoft and an Adjunct Professor at NYU School of Public Health.

Juan holds a BS in computer science from the Catholic University in Uruguay, MA in Data Mining and Machine Learning from Johns Hopkins University and a PhD in AI on Healthcare from Vrije Universiteit of Amsterdam.

With a foreword by Brad Smith, Vice Chair and President of Microsoft, AI for Good is certainly addressing the exploration of how artificial intelligence is being used today to address the world’s most pressing challenges.

Readers will discover how Microsoft’s AI leaders and researchers are obviously using AI to transform the world for the better. The impact AI is making on data analytics is amazing. William and Juan are detailing their efforts so far.

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Artificial Intelligence Education Reading

Latest Read: Autonomous Transformation

Autonomous Transformation: Creating a More Human Future in the Era of Artificial Intelligence by Brian Evergreen

Autonomous Transformation: Creating a More Human Future in the Era of Artificial Intelligence by Brian Evergreen

Brian holds a BA in Music Theory from Azusa Pacific University. He has written fro VentureBeat and Fast Company. He is currently CEO of The Future Solving Company.

We are now seeing the impact of AI’s transformational capability with project management. So, how will organizations fundamentally shift as a result of AI data? This is a rather interesting look at any complex organization, and how organizational leadership and employees with over a decade of experience pull back from change. Are organizations in fact prepared to handle this change?

Autonomous Transformation is addressing the idea that AI can create efficient change, yet not be perhaps ready to address the shift required by organizations without a practical framework. Brian is providing a blueprint for organizations that understand the potential AI can today create new value for internal stakeholders and their employees.

Perfect for executives, directors, managers, and other business leaders, Autonomous Transformation will also earn a place for anyone who finds themselves doing their best to navigate an increasingly complex and nuanced digital and economic landscape.

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Artificial Intelligence Education Innovation Reading

Latest Read: The New Dark Age

New Dark Age: Technology and the End of the Future by James Bridle.

The New Dark Age: Technology and the End of the Future by James Bridle

James holds a Master’s Degree in Computer Science and Cognitive Science from University College London. He is a contributor to Wired, The Atlantic, and The Guardian. He remains an Adjunct Professor at New York University’s Interactive Telecommunications Program.

So, does the creation of massive data sets make the world better? Perhaps not according to James. It would appear the data models in use are not sufficient anymore. In some cases the algorithms are revealing bias and lack of transparency by vendors.

As a result, James takes a position that even with Big Data accessible to more and more people, we are living in a new dark age. Hence the title of his book.

In general James is acknowledging how recent technology has led to the concentration of wealth to a small group of individuals and key corporations. As a result our social inequalities continue. He position includes the idea that data is no longer about facts alone but is now embedded into our current social conditions.

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