
Moving analytics from a transactional database to a column store is a good decision that gets scoped as a data project and paid for as an application project. This is about the second half.

Build went from weeks to hours. The process did not move. This is the argument behind our 8 December session on what the AI-native SDLC becomes in 2027, and who runs it.

Dashboards don’t align, AI misleads, and ERP models drift from the business itself. Knowledge models restore clarity by encoding shared meaning at the core of analytics.

A guide to building AI agents that fit business needs—simple, reliable, and cost-effective instead of over-engineered.

A practical decision framework to guide AI adoption, align technology with business needs, and build governance for long-term success.

Smaller AI models can outperform industry giants by offering speed, efficiency, privacy, and adaptability for real-world business use.

Discover how CloudGeometry boosts productivity by embedding AI agents directly in Slack, streamlining HR, content, and sales operations.

Explore how AWS Bedrock Agents help solve the complex challenge of maintaining up-to-date AI model data at scale using open-source tools like Mistral.

Stop treating all tech debt equally. Learn how to identify and eliminate the technical constraints that are blocking revenue, deals, and innovation.

Why real AI transformation means evolving your systems — not just adding AI features. Discover why agent platforms are becoming the new enterprise core.

Avoid AI overkill (or underkill). This guide breaks down the 5 AI agent types every business leader should understand—and when to use each one for maximum impact.

Explore how MCP, A2A, and NANDA are setting new standards for scalable, composable, and interoperable AI agent infrastructure, ushering in the next era of the intelligent web stack.

Faster dashboards don’t mean faster discoveries. Discover why the key to true data science innovation is flexible, discovery-driven infrastructure—not just optimized reporting tools.

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