Data interoperability is quickly becoming a practical requirement for companies trying to move artificial intelligence into production. Picking the right model or adding computing capacity is only part of the job. Companies also need reliable data that carries the right business meaning and remains protected as it moves between systems. Snowflake Inc. is building its ...

Physical AI is forcing the technology industry to rethink the entire computing stack. Robots, autonomous systems and intelligent devices need economical inference, secure data access and infrastructure that works beyond conventional clouds. Rafay Systems is addressing those demands through orchestration that lets providers offer open models without dedicating entire GPU systems to individual customers, potentially ...

AI-native services are shifting the value of artificial intelligence beyond individual productivity and into stronger project-team outcomes. Professional services firms face pressure to deliver more quickly without weakening quality, margins or accountability. Certinia is responding through its acquisition of Moonnox, which expands Veda beyond workflow orchestration by connecting project conversations, documents and changing requirements with ...

Physical artificial intelligence is becoming an industrial robotics problem. The market is shifting from software-only automation toward machines that must sense, decide and act in physical settings. That raises the bar for safety, economics and reliability, especially as companies such as Nvidia Corp. help shape the compute and robotics infrastructure behind this transition. The real ...

Production AI is pushing private cloud back into the center of enterprise infrastructure. The shift is not just about where workloads run. It is about cost control, security, governance and the need to bring AI closer to enterprise data. Broadcom Inc.’s VMware Cloud Foundation strategy reflects that reality, as organizations weigh cloud economics against the ...

Artificial intelligence agents are turning agent risk management into a frontline security priority. As digital workers begin touching email, financial systems, collaboration tools and business workflows, enterprises need more than traditional awareness training or endpoint defense. KnowBe4 Inc. is framing the shift around a bigger visibility problem: knowing which agents are operating inside the business, ...

Enterprise AI needs agentic transformation to turn scattered experiments into measurable business outcomes. The next phase of AI adoption is less about picking models and more about making enterprise knowledge usable, governed and current. Impetus Technologies Inc. is positioning its Leap AI suite around that problem, combining modernization, semantic context, agent solutions and observability into ...

Human risk management is becoming a practical measure of enterprise security. The old playbook treated employees as the weak link; the new one has to account for people, AI agents and automated decisions moving through the same workflows. That puts cybersecurity company KnowBe4 in a stronger market conversation: not just training users, but helping enterprises ...

Data resilience is quickly becoming the line between systems that recover and businesses that stall as artificial intelligence reshapes how data is created, moved and exposed. What’s changing isn’t just scale — it’s the stakes. Enterprises are no longer treating data protection as a background function; they’re redesigning around resilience as an always-on discipline that ...

Before artificial intelligence can scale, governed enterprise AI has to prove it can be trusted. As companies move from pilots to production, the real test is whether platforms can bring automation, trusted data and operational control into messy business environments without creating more risk than value. That shift gives IBM Corp. a practical opening as ...