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Artificial Intelligence Education Innovation Reading

Latest Read: The Human Cloud

The Human Cloud: How Today’s Changemakers Use Artificial Intelligence and the Freelance Economy to Transform Work by Matthew Mottola and Matthew Douglas Coatney.

The Human Cloud: How Today’s Changemakers Use Artificial Intelligence and the Freelance Economy to Transform Work by Matthew Mottola and Matthew Douglas Coatney

Matthew Mottola holds an MBA from Babson College. He is Co-Founder and CEO of The Human Cloud. He is a visiting Lecturer at the Georgia Institute of Technology College of Business. Matthew Douglas Coatney holds a Master of Science from Ohio State University. He is CIO and Thomson Hine.

Together, Mottola and Coatney are providing a good overview of how AI and the freelance economy are reshaping work dynamics. In fact, readers across the country and the world will understand one case studies as a global brand from Milwaukee Wisconsin. This organization has indeed adjusted to the new freelance economy. When this occurs in your own backyard, you’ll understand why.

You must understand that the true power of AI to alter work has yet to hit its full stride. If you’re not aware how this will certainly impact you, then you may indeed get run over. I’m not kidding and Mottola and Coatney are beginning to lay the foundation for what is coming.

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Education Innovation Reading

Latest Read: Essentialism

Essentialism: The Disciplined Pursuit of Less by Greg McKeown.

Essentialism: The Disciplined Pursuit of Less by Greg McKeown

Greg holds an MBA from Stanford Graduate School of Business. He is pursuing a Doctorate at the University of Cambridge UK. Greg is the Founder and CEO of Essentialism, Inc., and a Former partner at Heidrick & Struggles. He also remains an Instructor at Stanford’s design school and is a speaker at numerous prestigious events including TEDx, SXSW, and the World Economic Forum.

This book was recommended to me by a colleague as we are participating in our organization’s Dr. Vicki Martin Leadership Academy. and it was also a recommended book by our academy facilitators. I feel the book is a very enjoyable read and does in fact reinforce the need to get the right things done and skip the ‘do more with less’ we seem to face daily.

The reader will understand this is not a time management strategy book but rather lessons in a systematic discipline for focusing on what is absolutely essential in your workday and basically eliminating everything else so you can make the greatest impact and best contributions toward the tasks that really matter.

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Artificial Intelligence Education Reading

Latest Read: Managing Machine Learning Projects

Managing Machine Learning Projects: From design to deployment by Simon Thompson.

Managing Machine Learning Projects: From design to deployment by Simon Thompson

Simon holds a Phd in Philosophy from the University of Oxford UK. His is the former Director of AI research at BT Labs. Today he serves as the Head of Data Science at GFT Technologies.

Simon is revealing that managing ML projects to production can seem like navigating uncharted waters.

By revealing the challenges of accounting for large data resources to tracking multiple models, machine learning has very different requirements when compared to building traditional software applications. Simon does acknowledge this challenge and asks readers to execute this on a more even scale.

Managing Machine Learning Projects is an end-to-end guide for delivering ML applications on time and under budget. Simon is revealing the tools, approaches, and processes designed to handle the challenges of machine learning project management. To help readers Simon is deploying a full case study.

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Education Innovation Reading

Latest Read: Power to the Middle

Power to the Middle: Why Managers Hold the Keys to the Future of Work by Bill Schaninger, Bryan Hancock and Emily Field.

Power to the Middle: Why Managers Hold the Keys to the Future of Work by Bill Schaninger, Bryan Hancock and Emily Field.

Bill holds a PhD in Management from Auburn University. He is a Senior Partner Emeritus at McKinsey focusing on organizational culture and change. Bryan holds a JD from Harvard University and is a Partner at McKinsey specializing in talent management and organizational development. Emily holds a BA in Political Science from Georgetown University and is a Partner at McKinsey focusing on data-driven organizational strategies.

Power to the Middle is one of the best books to read if you’re organization is even thinking of cutting midlevel managers in the new world of work. The real goal is to help leadership understand “Middle manager” in a post pandemic, AI driven world. The term is from our industrial era.

Yet Bill, Brian and Emily certainly reveals how this outdated term needs to change as our digital future demands it. They are also revealing how middle managers are closer to your workforce, and understand how to link them to your company strategy while also having the skillsets to engage your senior leadership.

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Artificial Intelligence Education Reading

Latest Read: Understanding Large Language Models

Understanding Large Language Models: Learning Their Underlying Concepts and Technologies by Thimira Amaratunga.

Understanding Large Language Models: Learning Their Underlying Concepts and Technologies by Thimira Amaratunga

Thimira holds a MS in Computer Science from the University of Colombo. A long time senior software architect at Pearson, today he is a software engineer at CloudMarc and even holds patents related to dynamic neural networks and online learning semantics.

This book is teaching underlying concepts of Large Language Models (LLMs). Thimira begins by introducing ChatGPT, and how it links to LLMs. Readers will next learn about Natural Language Processing (NLP) which led to the development of LLMs.

Thimira is striving to tackle some rather complex concepts regarding LLMs and is presenting them to readers in such a manner that is easier to understand. He is also providing insights into architecture, functions, and applications.

For more mature programmers, the book is aiming to provide a thorough understanding of LLMs in order to inspire them to implement these models in their projects.

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