AI has been reshaping how operations-heavy companies think about data infrastructure, and it could fundamentally reshape ...

AI is changing the way we think about databases. You can’t have reliable AI agents without reliable data infrastructure.

Enterprise architecture works best today when it borrows start-up habits — testing fast, learning quickly and scaling what actually delivers value.

Modern CX depends less on where data lives and more on how signals, AI, and governance come together at decision time.

1. The "quarantine" pattern is mandatory: In many modern data organizations, engineers favor the "ELT" approach. They dump raw data into a lake and clean it up later. For AI Agents, this is ...

Velma 2.0, Modulate’s voice understanding ELM, proves the potential of ELMs by outperforming the leading foundation models ...

EdgeAI integrates the Proof of Information Entropy (PoIE) mechanism within a four-layer modular architecture to support ...

The technological disparity between institutional high-frequency trading firms and retail aggregators has historically been ...

How will the Model Context Protocol shape AI development? Learn how MCP standardizes data access, enhances context awareness, ...

Elite-level partnership combines Axonis' military-grade federated AI architecture with T2S Solutions' trusted expertise ...

Medifakt launches a secure health data app, empowering patients with blockchain-based control and AI insights via Apple App ...

Enterprise data systems now sit beside ranking, inference and decision pipelines that influence what users see, interact with ...