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Data Hydration covers the activities that support AI models being supplied with an adequate supply of essential information to allow them to thrive.

As enterprises deploy AI agents across procurement, customer service, and financial operations, the observability gap is becoming a governance crisis.

Data immediacy goes beyond the concepts of streaming data and data-in-motion. It adds the dimension that data has a very specific time value. The less recent the data is, the less valuable it is. Here are the issues you should consider to implement data immediacy and realize its benefits.

Tomer Shiran, Co-Founder of Dremio, provides an insider’s perspective about Apache Iceberg, its emergence as a standard table format, and how AI is optimizing query performance.

Effective CISOs focus on making informed, defensible cloud risk decisions that support innovation without sacrificing control.

Security must scale alongside AI development rather than lagging behind. This requires rethinking AppSec and risk management as a continuous practice driven by intelligence.

AI can improve industrial inventory management where traditional systems struggle most. This includes forecasting intermittent demand, positioning inventory across multiple sites, improving execution accuracy, and moving surplus inventory from planning to action. In each case, the value comes from better decisions grounded in data.

Enterprises have built intelligence layers that can observe, predict, and recommend, but they have stopped short of allowing AI to execute decisions end-to-end. Here is what’s needed to overcome this.