Gartner Report: Moving Analytics to Real Time

Data immediacy is not a buzzword; it’s a capability that separates leaders from laggards in the modern enterprise. The Data Immediacy Readiness Scale provides both a diagnostic and a roadmap for modern organizations.

As innovative technologies redefine the sporting goods industry, companies that hesitate risk falling behind more agile, digitally empowered competitors.

Building a real-time visual intelligence system requires the tight integration of multiple architectural elements, including those that perform edge processing, visual analytics, and more.

As AI continues to transform capital markets, the importance of multimodal data integration will only increase. The competitive advantage will increasingly shift to firms that can not only integrate diverse signals but do so with minimal latency and maximum accuracy.

In this week’s real-time analytics news: Apache Software Foundation (ASF) announced that Apache HugeGraph has become a Top-Level Project (TLP).

Hyperscale low-bandwidth IoT satellite constellations will soon power remote asset tracking, environmental monitoring, and agricultural telemetry.

While AI may offer marketing teams the promise of innovation and greater productivity, it also brings with it potential consequences for their public image, particularly among younger consumers who treat AI with a greater level of scrutiny.

Data Hydration covers the activities that support AI models being supplied with an adequate supply of essential information to allow them to thrive.