The digital economy, a sprawling ecosystem of interconnected platforms and services, thrives on immediacy. In this fast-paced environment, the concept of "real-time markets" has moved from a niche ...

Real-time data seems to be everywhere -- in augmented reality, digital twins, 5G, IoT, AI, machine learning, wearables, and beacon technology. One can be forgiven for thinking that today's enterprises ...

Data streaming major Confluent today announced a new “Data Streaming for AI” initiative to provide native integrations with leading players in the AI and vector database space, allowing its customers ...

For more and more organizations, real time is not only the right time—it’s the only time that matters. No longer can decision makers afford to only understand the material events affecting their ...

The demand for real-time analytics now spans nearly every industry, where every transaction, operation, and decision are characterized by its speed and freshness. While the push for real time is ...

Calgary, Canada, January 13th, 2026, ChainwireDeveloper-first cryptocurrency data platform delivers institutional-grade ...

Data is mixed. Inside modern enterprise IT stacks, it is quite standard to find data streams, data flows, data repositories and data connection channels that exist across various formats, platforms ...

Balraj Adhana leads real-time data pipeline transformation in finance And insurance, boosting speed, compliance & insights.

Using workarounds to pipe data between systems carries a high price and untrustworthy data. Bharath Chari shares three possible solutions backed up by real use cases to get data streaming pipelines ...

Capturing and harmonizing decision-making is crucial when we consider the great range of decisions, human and mechanical, that take place in the enterprise. The benefit of employing real-time versus ...

Key data and analytics trends in 2026 include decision intelligence, real-time analytics, semantic layers, platform ...

Confluent's latest Flink capabilities attempt to address what Shaun Clowes describes as the fundamental paradox of AI agents - they're intelligent but "dumb as rocks" without real-time, reliable data ...