Better AI decisions. Enterprise architecture. Partner activation.
Agentic AI promises to automate complex business workflows, but more agents don’t necessarily deliver better results. Before adopting a multi-agent architecture, enterprise leaders should evaluate specialization, parallel execution, reliability, and…
As AI agents gain access to enterprise applications, data, credentials, and business systems, infrastructure security requirements are changing. NVIDIA’s OpenShell Reference Architecture highlights the need for isolated execution, independent policy…
Anthropic's IPO filing highlights its investment in running AI workloads across NVIDIA, AMD, Google and Amazon chips. As AI vendors build increasingly integrated ecosystems, enterprise leaders face an important decision:…
AI-assisted researchers uncovered critical vulnerabilities in PHP, the software underlying a substantial portion of the web. The executive concern extends beyond these vulnerabilities. AI is accelerating vulnerability discovery, forcing organizations…
As insurers reconsider coverage for AI-related losses, enterprises face a financial risk that may be missing from their AI business cases. Before authorizing autonomous business activities, executives need to understand…
Google, Cloudflare, Infoblox, and GoDaddy just demonstrated something important for the future of enterprise AI. AI agents operating across different cloud platforms successfully completed a simulated financial transaction. But the…
TCS’s $3.1 billion in annualized AI revenue highlights a growing opportunity for technology partners: moving beyond AI product sales and implementation to integration, governance, and recurring services that deliver measurable…
AI agents are moving from cloud applications onto employee computers. Microsoft’s new Windows architecture highlights an important enterprise security decision: local AI execution still requires enforceable boundaries, identity and accountability.
Hybrid AI is taking on a new meaning. The next enterprise architecture may dynamically decide whether intelligence belongs on the device, inside enterprise infrastructure or in the cloud. That makes…
NVIDIA’s strategy is expanding well beyond GPUs. From compute and networking to data, models, agents and physical AI, the company is assembling an increasingly complete AI factory stack. The enterprise…