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TL;DR: Data modeling’s core discipline hasn’t changed, but the environments, teams, and expectations around it have. Whether your organization needs enterprise precision, cloud-native collaboration, or both, the right tooling decision starts with an honest look at what your modeling work actually requires today.
If your data modeling conv...
TL;DR: Most enterprises are racing toward AI but stuck in slow, wasteful data delivery models. New 2026 Omdia research shows that organizations adopting structured, automated data products are seeing 20%-plus KPI improvements across the board. The question is no longer whether to make the shift; it’s how fast you can scale it.
Today, every enterprise want...
TL;DR: Claude Mythos Preview uncovered thousands of unpatched vulnerabilities across every major operating system and browser. Learn why identity infrastructure is the target of the coming exploitation wave and what you must do now to get ahead of it.
On April 7, 2026, Anthropic announced a model it has deliberately chosen not to release. Claude Mythos Preview, av...
TL;DR: Most manufacturers are investing in AI in manufacturing before their data is ready to support it. Without a governed, cataloged, and integrated data foundation, AI projects fail regardless of the technology chosen. Fix the data first. Everything else follows.
Here is an uncomfortable truth about AI in manufacturing that no...
TL;DR: AI is spreading across organizations faster than governance can keep up, creating a surge of unmanaged machine identity security gaps and “shadow AI” that expands the attack surface. Attackers can now compromise identities in minutes, making machine identity security the control plane for safe AI adoption.