Data platforms have moved from static, disconnected systems to integrated environments where analytics and real-time data ...

Migrating data from transactional systems to operational systems and then to analytical systems introduces major friction for application workflows, directly impacting end-user experiences. This is ...

SF-based Company Delivers $34-45M in Annual Value for Refineries Through Advanced AI That Combines Data, Engineering ...

With increased mergers and acquisitions, hospitals, hospital systems and Integrated Delivery Networks face significant challenges to aggregate and compare colossal datasets, identify problems, and ...

This research initiative highlights applied AI and business analytics for financial risk management, cybersecurity, and ...

Today’s “big data stack” includes databases, data management and integration software, and data analytics tools—all critical components of an effective operational or analytical data system. But all ...

Data engineers have a big problem. Almost every team in their business needs access to analytics and other information that can be gleaned from their data warehouses, but only a few have technical ...

Vast Data expands AI Operating System with global control plane, zero-trust agent framework and deeper Nvidia integration - ...

For a lot of us, sci-fi films like The Avengers or The Matrix are a fun look into what the future might hold. But we’re also seeing big shifts in what’s possible right now. By leveraging operational ...

Buy-side firms are consistently faced with burgeoning volumes of data, necessitating adept management of expansive data extractions, a task fraught with intricacies and considerable costs. Arthur Orts ...

AI-powered video analytics help streamline forensic search functions. Investigators can use natural language prompts to easily locate relevant footage within a specific time frame, aiding internal ...