Modern vision-language models allow documents to be transformed into structured, computable representations rather than lossy text blobs.
AI is changing the way we think about databases. You can’t have reliable AI agents without reliable data infrastructure.
Oracle's Larry Ellison believes the AI race is becoming a commodity due to shared internet data. He argues the future lies in leveraging private enterprise data, a move Oracle is heavily investing in ...
How will the Model Context Protocol shape AI development? Learn how MCP standardizes data access, enhances context awareness, ...
From fine-tuning open source models to building agentic frameworks on top of them, the open source world is ripe with ...
Microsoft CEO Satya Nadella directly equates the future of AI models (foundation/LLMs) to the historical evolution of the ...
Ellison argued that this shared reliance on open web-sourced training data creates little meaningful differentiation among the major players.
How agencies can use on-premises AI models to detect fraud faster, prove control effectiveness and turn overwhelming data ...
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 ...
Why 24/7 DB admin outsourcing outperforms in-house DBAsIssued by Ascent TechnologyJohannesburg, 20 Jan 2026 Database ...
MCP servers and AI browser plug-ins are widely used, but they can spell trouble for enterprise data management if not ...
Overview: Python and SQL form the core data science foundation, enabling fast analysis, smooth cloud integration, and ...
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