Cloud data platform’s backward-incompatible database schema change left customers unable to query data or ingest files ...

Aaron Erickson at QCon AI NYC 2025 emphasized treating agentic AI as an engineering challenge, focusing on reliability ...

AI initiatives don’t stall because models aren’t good enough, but because data architecture lags the requirements of agentic systems.

Customers in 10 of the company’s 23 regions had “operations fail or take an extended amount of time to complete.” ...

Srinubabu Kilaru said Bringing version control and CI/CD into data pipelines changed how quickly we could respond to policy ...

Explore how Anusha Joodala's ETL design strategies empower business intelligence by transforming unstructured data into ...

Securing MCP requires a fundamentally different approach than traditional API security. The post MCP vs. Traditional API Security: Key Differences appeared first on Aembit.

Traditional semantic layers often rely on middle-tier caching, introducing additional latency and cost. MetaKarta Semantic Hub takes a different approach through orchestrated materialization, ...

The 10 coolest open-source software tools in 2025 include software for developing AI agentic applications, managing streams ...

Google has taken a major step toward making its cloud ecosystem fully ready for autonomous AI agents. The company has rolled out official support for the Model Context Protocol across key services, ...