Operations | Monitoring | ITSM | DevOps | Cloud

Why Modern Enterprises Still Get Blindsided And How Business Process Observability Changes That

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.

Why Autonomous IT Is Becoming Essential for the Modern Industry

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.

Episode 11 - Karthik Ravindran Human Choices in an AI Future (Part 1)

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Digitate Named a Leader in the IDC MarketScape: Worldwide AIOps 2026 Vendor Assessment

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.

Digitate is Positioned as a Leader in the IDC MarketScape: Worldwide AIOps 2026 Vendor Assessment

IT operations are in a new era – teams are expected to deliver always-on reliability, absorb constant change, manage runaway telemetry volumes, and still prove business impact. The IDC MarketScape: Worldwide AIOps 2026 Vendor Assessment (doc, March 2026) offers ITOps leaders a valuable lens on the AIOps landscape and the providers shaping what comes next.

Episode 10 - How I Learned to Stop Worrying and Love AI

Are we still in the first chapter of AI, and mistaking it for the whole story? In this episode of The Intelligent Enterprise, host Tom Stoneman zooms out from the headlines to explore where we really are in the AI journey. He’s joined by journalist and independent analyst Joe McKendrick, who has spent decades documenting how emerging technologies reshape business and society. As co-chair of the AI Summit in New York and a senior contributor to Forbes and ZDNet, Joe brings the perspective of someone who understands how these stories unfold over time.

Why Enterprise AI Demands More Than Just Automation

Based on insights from The Intelligent Enterprise podcast, “The Evolution from Automation to Autonomy” Every couple of weeks, The Intelligent Enterprise podcast steps away from the day-to-day noise of enterprise life to explore big ideas from a fresh perspective. In one recent episode, the focus turned to a question many organizations are still grappling with: What does it really take to build an AI-powered enterprise that works with people, not against them?

The Shift Toward Autonomous Enterprises

In our previous post, Navigating the Complexities of Scaling AI in Enterprise Operations, we explored the “cost–human conundrum”, balancing the promise of automation and the realities of economics, skills, and governance. That discussion highlighted a critical inflection point: scaling AI is not just a technical challenge, but an organizational one.