AI thrives on data but feeding it the right data is harder than it seems. As enterprises scale their AI initiatives, they face the challenge of managing diverse data pipelines, ensuring proximity to ...

Stonebraker essentially abandoned Postgres in the mid-1990s. But instead of fading into obscurity, the codebase was salvaged ...

Google Cloud Summit came to London last week, and we took the opportunity to sit down with database execs Sailesh ...

Two decades ago, the customer loyalty industry rested on two promises. The first was retention: building a relationship with ...

At Everpure Accelerate the company announced its Data Stream for data in real-time AI workloads and its Data Intelligence to ...

Oracle is introducing Oracle Deep Data Security, shifting enforcement to where the data lives along with making controls explicit, inspectable, and reusable across applications. Oracle Deep Data ...

In a landmark moment for Indian artificial intelligence, fintech leader Paytm has developed Prism, a proprietary ...

Industry discussions about what’s holding back AI often focus on security, graphics processing unit availability and other ...

Overview: Snowflake is no longer positioning itself as just a data warehouse—it's becoming a complete enterprise AI platform ...

With every organization currently wondering if their data is sufficient for AI, closing the gap between data ambition and operational reality requires more than just a technical roadmap. It requires ...

Company to demonstrate how the new integrated Platform structures data into a trusted Semantic Backbone to guarantee ...

As Couchbase launches its AI Data Plane, the more interesting question is whether the NoSQL-era strengths it built for ...