Fragmented stacks, hand-coded ETL and static dashboards are dead; AI is forcing data management to finally grow up in 2026.

These open-source MMM tools solve different measurement problems, from budget optimization to forecasting and preprocessing.

As enterprises race to adopt generative and agentic AI, many assume their data foundations are already in place. In reality, ...

The project for which Hulsebos received the grant is called DataLibra, which runs from 2024 to 2029. Over those five years, ...

Michel Tricot, CEO & Co-Founder at Airbyte thinks this is a big issue; his firm is known for its open source data integration ...

A standout AI portfolio is indispensable for attracting freelance opportunities in today''s competitive market. A ...

DevOps success depends on culture, reliability, and systems thinking beyond tools.Books help explain long-term practices that ...

To govern AI safely and keep its speed advantage, enterprises must move from static, rule-based control systems to adaptive, ...

Tabular foundation models are the next major unlock for AI adoption, especially in industries sitting on massive databases of ...

Uber Engineering outlines its platform-led mobile analytics redesign, standardizing event instrumentation across iOS and ...

Applied Digital benefits from AI data center demand, a REIT shift, modular sites, hyperscaler deals, and a $1B NOI target.