Salvatore Salamone

Neoclouds are new-generation of AI-focused cloud infrastructure providers. They differentiate themselves from traditional hyperscalers (such as AWS, Azure, and GCP) by focusing on optimized GPU availability, flexible pricing, and specialized performance for AI/ML workloads, among other key features.

In this week’s real-time analytics news: Amazon Web Services (AWS) announced new capabilities in Sagemaker AI.

In simulated experiments, testers showed how easily AI agents can adopt self-preservation tactics when placed in high-stakes scenarios. Specifically, similar to disgruntled human employees, AI agents might take unethical actions to complete tasks and survive.

As MCP servers become the backbone of multi-agent AI systems, their design and protection demand first-class architectural status.

Agentic AI promises to move industrial automation from rigid workflows to adaptive, intelligent systems. But the path forward isn’t purely technical. It demands investment in infrastructure, culture, and trust.

The build-vs-buy decision is not just about cost or control. It’s about aligning an approach to AI with an organization’s long-term digital ambitions, organizational capabilities, and operational realities.

In this week’s real-time analytics news: The Linux Foundation launched a new project focusing on secure AI agent-to-agent communications and collaboration.

In this week’s real-time analytics news: MCP continues to gain momentum with multiple vendor announcements for support of the protocol.

While technical applications like content generation and coding assistance still rank highly, the dominant theme this year is “Personal and Professional Support,” according to an HBR survey.

Effective multi-disciplinary product development for innovation requires an integrated technology stack combining PLM, CAD, CAE, and manufacturing planning tools.

The promise of visual AI in industrial environments is clear, but the road to scale is littered with challenges. Models don’t generalize well, and even when they do, the operational differences across facilities introduce friction at every turn. With thoughtful design, these challenges are solvable.

As energy systems become more decentralized, automated, and data-driven, real-time visual intelligence is poised to play a more critical role in supporting operations.