Summer 2026

Features

LLMs Do Not Reason Like Humans, But They Can Deliver Reasoning-Like Performance

Despite the marketing hype, large language models (LLMs) do not reason, at least not in the ways humans do. Underlying that assertion is the fact that we humans do not apply the term "reason" consistently.

Nuances of Build-or-Buy Decisions

The intricacies of the time-honored question of whether to build or buy take on new dimensions when it comes to enterprise AI. Organizations must not only account for traditional considerations like cost, time-to-market, and proof of concepts but also for those that are unique to advanced machine learning and language model deployments.

Industry Voices

Building AI That Actually Delivers: Six Principles for Turning Intelligence Into Impact

In the current landscape, AI is frequently positioned as the universal solvent for operational friction. From predictive forecasting to complex automation, "adding AI" is often framed as a shortcut to superior outcomes. However, intelligence without intent rarely creates value; in fact, MIT's "The GenAI Divide: State of AI in Business 2025" indicates that roughly 95% of enterprise AI projects fail to deliver measurable business impact.

Business-Biased AI Hurts Customer Loyalty—You’re to Blame

Agentic AI is fueling customer distrust. When AI systems are trained to favor business goals over customer wellbeing, automation turns into a loyalty liability. AI has come a long way from the early days of simple automation.

AI Reflections

AI in Medicine: A Personal Story

It's always important when discussing new technology to include test results, demo results, and any other relevant points of proof. As a very wise man once explained to me, "One test is worth a thousand experts."

Crossing the AI Chasm

Moving From Adoption to Adaptation for Explainable AI

Simon Sinek, motivational speaker on business leadership and book author, tells a story about a Millennial training program at a company with 100,000 employees (simonsinek.com/stories/why-your-best-ideas-might-needa-waiting-list). The company hired him to build the program. He said fine, but we're doing it my way.

Legal Intelligence

Governing the Agents Before They Govern Us

Governance is the hardest part of agentic AI and the least optional. AI will keep getting better but the question is whether our institutions can develop the judgment, constraints, and habits needed to live with systems that not only predict and recommend, but plan and act.