Salvatore Salamone

Agentic AI represents the fusion of data intelligence and operational autonomy, bringing the long-promised vision of smart, adaptive, and resilient industrial systems into reality.

Agentic AI can redefine industrial operations, but that is only if it is deployed with discipline and can scale across the organization.

In this week’s real-time analytics news: Snowflake made a number of announcements this week covering a range of application areas.

Enterprises and the providers delivering services to support AI efforts essentially need AI connectivity as a service. That’s where network-as-a-service (NaaS) comes in.

AI agents represent an opportunity to go beyond isolated analytics projects and move toward self-improving, autonomous workflows that directly drive operational performance.

Scaling AI in industry requires the right technology, a practical understanding of industrial operations, and open interoperability with an organization’s existing data infrastructure.

In this week’s real-time analytics news: This week’s Confluent Current 2025 conference focused on bringing real-time data and AI together.

This year’s Current conference highlighted the need to bring real-time data and AI together. The keynote and many sessions dug into this topic for the streaming data community.

Retailers must integrate new data sources, such as real-time social sentiment, search trends, and influencer engagement metrics, into forecasting models that can adapt to the rapid, unpredictable nature of cultural trends.

In this week’s real-time analytics news: Dell Integrates NVIDIA technology to enhance its AI Data Platform capabilities.

For adaptive edge intelligence, 6G is not just an infrastructure upgrade, it provides an opportunity to reinvent how systems learn, decide, and collaborate.

The industry is now entering a phase where adaptive edge intelligence is less about the speed of a decision and more about autonomy.