Retailers cannot meet modern consumer expectations through procurement alone. They need a holistic technology management strategy that prioritizes maintenance, security, compliance, resiliency, and visibility.

The low-altitude economy depends on continuous, real-time ingestion and processing of high-volume telemetry, sensor, and imagery data to support safe, scalable operations.

In this week’s real-time analytics news: NVIDIA announced the NVIDIA Nemotron 3 family of open models, data, and libraries.

As AI and real-time intelligence continue to converge, success will increasingly depend on architectural discipline, economic realism, and measurable impact.

The ability to monetize data is what separates market leaders from those that struggle to find their place. Addressing the issue can turn analytics from a functional add-on into a meaningful revenue stream.

In this week’s real-time analytics news: There was a burst of activity on the quantum computing front in support of AI.

AI agents are proliferating faster than security teams can inventory them. The question isn’t whether your organization has ungoverned AI agents with dangerous levels of access. The question is how many.

In this week’s real-time analytics news: Multiple companies have announced their commitment to the U.S. Department of Energy’s Genesis Mission to use AI to accelerate science and drive energy efficiency.

Given this month’s Executive Order on AI regulation, the prudent approach is for businesses to maintain current compliance postures while monitoring developments closely.

The most effective enterprise automation strategies treat RPA and AI as complementary layers, not competing solutions.

Vibe coding is a convenient label for that skill set: outcome-oriented, AI-augmented, and deeply aware of real-time constraints. Organizations that cultivate it are better positioned to turn AI from isolated pilots into reliable, real-time capabilities embedded across the business.

AI is turning IT into a data‑driven function where operational success requires fluency across governance, analytics, architecture, and economics.