Somewhere between a five-month investigation gap at a Minnesota hospital and 17 million vehicle records sitting on a contractor’s FTP server, a familiar story started taking shape again. Attackers ...

As SQL Server 2016 approaches end of support in July 2026, a look back at its groundbreaking innovations reveals how it reshaped Microsoft's data platform and why it's time to move forward.

Strategies for enterprise teams who aim to build a data foundation to move the institution from AI experimentation to real-world execution.

The data job market in 2026 isn't just about knowing SQL or Python anymore; it's about proving you can orchestrate AI agents to build robust data pipelines on Google Cloud. With CodeSignal's recent ...

Progress Software Corporation ( PRGS) Discusses High-Performance Multi-Database Connectivity and WinSQL Features May 7, 2026 1:00 PM EDT ...

Structured data capture in Revvity Signals One turns lab data into searchable, auditable records for real-time analytics and ...

Leaders from industries such as legal tech, music, travel, property, and talent solutions are using AI to tackle complex integration and migration challenges. Their efforts range from enhancing M&A ...

AI agents promise to transform business workflows, but their effectiveness depends on secure, reliable access to enterprise data. In this episode of DEMO, Keith Shaw speaks with Mike Albritton, Senior ...

As data centers have grown and proliferated, so too has the backlash. A new Harvard/MIT poll found 40% of people supported the building of a data center in their area, with 32% opposed when asked ...

Abstract: Large Language Models have greatly enhanced the Text-to-SQL task. In this paper, we propose AES-SQL, an LLM-based approach based on few-shot Learning. We adjust the structure of the adaptive ...

Choosing the right data platform is critical for the modern enterprise. These platforms not only store and protect enterprise data, but also serve as analytics engines that source insights for pivotal ...

The additions let data teams ask progressive, context‑aware questions in natural language while enabling developers to deploy governed analytics agents across applications via unified API endpoints.