If your enterprise is failing at AI, it isn’t because you picked the wrong tools. You're failing because you're trying to layer AI on top of legacy systems without changing anything underneath.
Maintaining GxP standards has become harder as IT environments grow more distributed. Manual processes, fragmented accountability, and inconsistent controls make it difficult to maintain a consistent compliance posture across endpoints and critical systems.
As the travel and hospitality landscape continues to evolve, Artificial Intelligence (AI) and Autonomous IT have become indispensable for staying competitive. These technologies are fundamentally transforming how enterprises deliver seamless guest experiences while ensuring resilient, efficient operations.
What does enterprise AI look like when the user is no longer human? In this episode of The Intelligent Enterprise, host Tom Stoneman sits down with Ash Ashutosh, CEO of Pinecone and a three-time founder, to explore the next evolution of AI infrastructure: from vector databases built for humans using chatbots, to knowledge engines designed for AI agents that need to understand context, take action, and get work done.
What does it actually take to thrive in an AI-driven world, not just survive it? In part two of his conversation with Karthik Ravindran, General Manager of Enterprise Data and AI at Microsoft, host Tom Stoneman digs into the human qualities that no model can replicate.
Traditional observability misses business failures Modern monitoring tools can show that systems are technically healthy while critical business outcomes are quietly failing. Business Process Observability (BPO) closes this gap by tracking entire business transactions, like orders, payments, and shipments, instead of just infrastructure and application metrics.
Autonomous IT shifts enterprises from reactive to proactive operations“By combining AIOps, agentic AI, predictive analytics, and self-healing automation, Autonomous IT helps organizations detect issues early, automate remediation, and prevent downtime before it impacts customers or revenue.
What if the biggest risk in the AI era isn't the technology, but waiting for someone else to tell you what to do with it? In this episode of The Intelligent Enterprise, host Tom Stoneman sits down with Karthik Ravindran, General Manager of Enterprise Data and AI at Microsoft, to unpack what it really takes to thrive alongside AI, not in spite of it.
“Autonomous” doesn’t mean uncontrolled. AI-driven IT in life sciences needs guardrails based on GxP, risk, and validation. Low-risk systems can automate; high-risk systems need human approval and documentation.
SANTA CLARA, Calif. - April 29, 2026 - Digitate, a global provider of agentic AI platforms that enable autonomous IT operations, today announced its recognition as a Leader in the IDC MarketScape: Worldwide AIOps 2026 Vendor Assessment (#US54116226, March 2026). The evaluation assessed vendors across the global AIOps market based on both current capabilities and forward-looking strategy.