Category: Artificial Intelligence

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Artificial Intelligence Reading

Latest Read: AI First

AI First: The Playbook for a Future-Proof Business and Brand by Adam Brotman and Andy Sack.

AI First: The Playbook for a Future-Proof Business and Brand by Adam Brotman and Andy Sack

Adam holds a BA in Classical Civilizations from UCLA and JD from the University of Washington School of Law. He started his career as a corporate attorney before becoming Starbucks’ first Chief Digital Officer and EVP of Global Retail Operations before departing to become President, Chief Experience Officer, and co?CEO at J.Crew. Andy holds a BA from Brown University and MBA from MIT’s Sloan School of Management. Andy co-founded Forum3 with Adam.

They position the book as a strategic manual for organizations embracing artificial intelligence and business. In fact, the book functions as simply promotional of the world’s enthusiasm surrounding AI. The book wants to convince readers that adopting an “AI-first” mindset is non-negotiable for any modern organization.

Rather than educating readers with concrete examples, Adam and Andy leans heavily on name-dropping and aspirational catchphrases.

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Artificial Intelligence Education Innovation Reading

Latest Read: HBR’s 10 Must Reads 2026

HBR’s 10 Must Reads 2026 from Harvard Business Review.

HBR's 10 Must Reads 2026: The Definitive Management Ideas of the Year by Harvard Business Review

As 2023 was coming to a close, I found myself diving into HBR’s 10 Must Reads for 2024. It was a great way to get a feel for the management ideas shaping the year ahead. Then came the 2025 edition, and now, here I am again—starting 2026 with HBR’s latest collection.

This is for both new and experienced leaders seeking insights, and advice to propel their organizations forward in the new year.

To no surprise, AI remains a key read for organizations. The focus “Bring everyone on board with your AI efforts” is addressing the much needed broad participation in AI adoption. This is even more important in 2026 as models have been updated in 2025 to bring new reasoning models that can propel organizations forward, only if the deployment touches all employees.

However a risk based approach will save organizations from overspending and unauthorized egress of organizational data.

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Artificial Intelligence Education Innovation Reading

Latest Read: LLM-Based Solutions


Large Language Model-Based Solutions: How to Deliver Value with Cost-Effective Generative AI Applications by Shreyas Subramanian.

Large Language Model-Based Solutions: How to Deliver Value with Cost-Effective Generative AI Applications by Shreyas Subramanian

Shreyas holds a PhD in Aerospace Engineering from Purdue University and MS in Mechanical Engineering from Wright State University. He is the former Director of Research at Robust Analytics. Today he is Principal Data Scientist at Amazon Web Services.

Here is a good, very practical guide for those who seek to build and deploy cost-effective LLM-based solutions. From selecting a model, pre-and post-processing, prompt engineering, and fine tuning. Shreyas is certainly providing insights for optimizing inference and affordable architectures for typical applications. So today, generative AI value is found at the intersection of performance and cost. Howver organizations must optimize their infrastructure in order to reduce cloud costs.

Shreyas is certainly emphasizing the “biggest” model is not always the best. Model Selection and Foundation should be a wise, smaller approach provides developers to focus on domain-specific models. This requires less computational resources.

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Artificial Intelligence Cyberinfrastructure Education Innovation Reading

Latest Read: Inside Cyber


Inside Cyber: How AI, 5G, and Quantum Computing Will Transform Privacy and Our Security by Chuck Brooks.

Inside Cyber: How AI, 5G, IoT, and Quantum Computing Will Transform Privacy and Our Security by Chuck Brooks

Chuck holds an MA from the University of Chicago. He serves as President of Brooks Consulting International addressing cybersecurity, emerging technologies and government relations. Chuck also serves as an Adjunct Professor at Georgetown University in the Cyber Risk Management Program. He has briefed the G20 on energy cybersecurity, served on two National Academy of Science Advisory groups and addressed USTRANSCOM on cybersecurity.

Chuck serves on an industry/government Working group for DHS CISA focused on security space systems. Chuck is also a contributor to Forbes, The Washington Post, Dark Reading, Homeland Security Today, and Security Information Watch.

He is providing readers a roadmap for understanding the “Fourth Industrial Revolution.” The book serves as a bridge between complex technical advancements and their practical implications for business, government, and individual privacy.

Readers will learn that society is entering a new state of ”cyberflux” where digital and physical (analog) worlds are rapidly converging. This has created new vulnerabilities yet also new opportunities. He reveals AI, 5G, and related tools offer enhanced efficiencies, empowering new business models that offer new innovations across finance, healthcare, transportation, and government. He is focusing on what they do and why they matter rather than jumping into technological formulas or programming code.

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Artificial Intelligence Education Innovation Reading

Latest Read: Feature Engineering Bookcamp


Feature Engineering Bookcamp by Sinan Ozdemir.

Feature Engineering Bookcamp by Sinan Özdemir

Sinan holds both a BA and MA in Pure Mathematics from Johns Hopkins University. His graduate work focused on algebraic geometry with applications to cybersecurity. He was Founder and CTO of Kylie.ai and Legion Analytics. Today Sinan is the Founder and CTO of LoopGenius. He is also a former Lecturer/Adjunct Professor, teaching graduate-level Business Analytics, Mathematics, and Computer Science.

Sinan is addressing a very critical, yet often overlooked stage of machine learning pipelines. A transformation of raw data into informative features will make or break your efforts. He is advocating the quality of the input data is the true measurement for any model’s performance.

He is presenting to readers six hands-on projects to upgrade your training data using feature engineering. This “Bookcamp” thereby prioritizes project-based curriculum over theory since structures the text is the true craft for data scientists. Instead of focusing on mathematical transformations, Sinan asks the reader to solve business problems, such as predicting flight delays.

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