AI

Autonomous Finance: Agentic AI as the New Standard for ETL Governance and Resilience  📌 Did You Know? Autonomous data quality agents deployed by leading financial institutions have been shown to proactively detect and correct up to 95% of critical data quality issues.  The Agentic AI Concept Agentic Artificial Intelligence (AI) represents the progression beyond simple prompt-and-response […]

IOblend: Simplifying Feature Stores for Modern MLOps Feature stores emerged to solve a real challenge in machine learning: managing features across models, maintaining consistency between training and inference, and ensuring proper governance. To meet this need, many solutions introduced new infrastructure layers—Redis, DynamoDB, Feast-style APIs, and others. While these tools provided powerful capabilities, they also

Rethinking the Feature Store concept for MLOps Today we talk about Feature Stores. The recent Databricks acquisition of Tecton raised an interesting question for us: can we make a feature store work with any infra just as easily as a dedicated system using IOblend? Let’s have a look. How a Feature Store Works Today Machine