Overview: A modern data stack uses cloud-based technologies to collect, store, process, and analyze large volumes of data ...

As AI adoption accelerates, enterprises are rethinking fragmented data architectures in favor of unified intelligence operating models.

Overview: Modern big data tools like Apache Spark and Apache Kafka enable fast processing and real-time streaming for smarter ...

With the economy a key issue among those who voted for Trump, there are significant challenges in areas such as tariffs and energy prices ...

Dell Technologies Inc. unveiled a sweeping set of updates to its artificial intelligence infrastructure portfolio today, ...

As a universal MCP-native client, WisdomAI connects directly to live SaaS applications (e.g. Salesforce, Google Analytics), ...

Choice, a Prague-founded restaurant SaaS platform, has raised $7.1 million in Series A funding led by Alea Capital, with ...

As companies race to adopt agentic AI to spur innovation and gain efficiency, building the right enterprise data infrastructure has become a critical component of success.

Principal Architect Sandeep Patil’s landmark research charts a new course for cloud-native data warehousing — from serverless MPP engines and lakehouse convergence to AI-powered query optimization and ...

From the “inference inflection point” to OpenClaw’s rise as an agent operating system, Nvidia’s GTC keynote outlined the architecture of the AI factory, spanning Rubin ...

The problem isn’t your AI stack—it’s whether you have the right data and the right mechanisms to power it effectively.