Red Hat Summit 2026: Technology Is Only Half the Story
Red Hat Summit 2026 shows AI following cloud's path—from hype to real production. Here's what enterprise AI maturity looks like, and where culture still lags.
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Annual Rematch or Tempest in a Teapot?: Snowflake and Databricks Conferences 2026
An analyst's read on Snowflake and Databricks 2026: agentic AI now dominates both agendas, and what that shift signals for the data platform market.
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2026 Sovereign AI Timeline
Track the major government, enterprise, and geopolitical developments that shaped sovereign AI in 2026, from national AI strategies to export controls and frontier AI access.
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When a Government Can Pull Your AI: What CTOs and CDOs Need to Know About Sovereign AI
By: Lisa Damast Originally published: June 26, 2026 Last updated: July 1, 2026 (to reflect subsequent developments involving Anthropic, OpenAI, and related legal proceedings) This piece draws on interviews with ...
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The Unwritten Rules of Management That AI Can’t Learn
AI can optimize workflows, but can it master the unwritten rules that define great management? Explore the human side of leadership AI can't replicate.
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A CDO Cheat Sheet for Sovereign AI
Governments are mandating where AI runs, trains, and inferences. Here's what Chief Data Officers must do now to stay ahead of sovereign AI compliance.
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The zeitgeist of Kubecon in Amsterdam 2026
An analyst's take on KubeCon Amsterdam 2026: why Kubernetes is becoming infrastructure, where AI fits in cloud-native, and what observability still gets wrong.
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The Economic Shock Of AI: Have We Been Here Before?
Researchers draw parallels between today's AI displacement of knowledge workers and the CNC automation wave of the 1970s–80s, and find the analogy only goes so far.
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The Innovation Secret AI Can’t Replicate: Serendipity
AI can optimize processes, but it can't spark serendipity. Learn why accidental innovation is the real driver of resilience—and how leaders can cultivate it.
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Why Generative AI Isn’t Thriving in Marketing (Yet)
AI is thriving in context-light domains like customer service and programming. But B2B marketing? Recent data shows only 4% of marketers have high trust in AI outputs—despite 45% increasing investment. Here's why context-heavy work is where AI hits its limits.
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