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Summer 2026

Features

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.

COLUMNS:

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."

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