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By Ammar Ravat
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.
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By Varun Sharma
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.
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By Varun Sharma
“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.
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By Digitate
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.
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By Digitate
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.
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By Digitate
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?
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By Digitate
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.
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By Digitate
AI has rapidly evolved from an experimental technology into a foundational capability for modern enterprises. Today, organizations are no longer asking whether AI should be adopted but how quickly it can deliver measurable operational value.
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By Digitate
Findings from Digitate’s recent survey conducted with Sapio Research highlight a persistent challenge: AI is often implemented to reduce human workload and operational costs, yet these very factors continue to limit its broader adoption.
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By Digitate
The Enterprise AI Survey conducted by Digitate in collaboration with Sapio Research states that the journey of enterprise automation and AI adoption has evolved significantly. The initial waves focused primarily on improving accuracy, efficiency, and reducing costs. Now, the next phase, Agentic AI, is transforming this shift from mere automation to dynamic collaboration.
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By Digitate
#ArtificialIntelligence #EnterpriseAI #AILeadership #GenerativeAI #FutureOfWork #DigitalTransformation #ResponsibleAI #MicrosoftAI #AIInnovation #BusinessTransformation #HumanPlusAI #DataAndAI #Leadership #AIStrategy #EnterpriseTransformation #TheIntelligentEnterprise #TechPodcast #AIForBusiness #FutureRea
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By Digitate
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.
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By Digitate
In this episode of The Intelligent Enterprise, host Tom Stoneman takes us inside the different ways that AI is being utilized in the practice of law. In this episode, Tom is joined by Vintee Mishra, an attorney who’s currently part of the Commercial Contracting Organization at Navy Federal Credit Union, and has previously occupied supporting roles at Tata Consultancy Services, Cisco, First Technology Credit Union, and Moody’s Analytics.
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By Digitate
In this episode of The Intelligent Enterprise, host Tom Stoneman steps outside the day-to-day noise to get inside a challenge a lot of leaders are feeling right now: AI that stays stuck in pockets of the business.
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By Digitate
In this episode of The Intelligent Enterprise, host Tom Stoneman takes us inside the evolving use-cases for AI across different enterprises. Digitate recently conducted a survey of over 600 IT decision makers from across North America. The aim was to get a better sense of how AI tools are being implemented across workplaces — and the results are fascinating.
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By Digitate
Tom and Akhilesh unpack why automation alone will never deliver autonomy, and why intelligence means anticipating change rather than constantly reacting to it. They explore the role of people in enterprise transformation, the limits of technology without trust and context, and why the most powerful use of AI is freeing humans to focus on what they do best. Plus, Akhilesh makes the case for ping pong as a surprisingly effective way to reset when the pressure is on.
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By Digitate
Tom Stoneman and Digitate Field CTO Efrain Ruh discuss real-world AI adoption roadblocks. They cover the three pillars of success (integration, observability, transparency) and how fear stalls progress.
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By Digitate
In this special holiday episode of The Intelligent Enterprise, host Tom Stoneman takes a step back from the day-to-day pace of enterprise life to look at where AI has been in 2025 and where it might be heading next. To do it, he sits down with his colleague VS Joshi, Global Head of Product Marketing at Digitate, for a year-end retrospective and a 2026 outlook.
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By Digitate
In this episode of The Intelligent Enterprise, host Tom Stoneman gets inside a challenge many enterprises are facing right now: how to integrate AI with complex legacy systems without breaking what already works. This week, Tom sits down with Yael Gómez, Fractional Chief Technology Officer and Chief Information Officer at Pet Madness, and former technology leader at Walgreens Boots Alliance.
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By Digitate
In our first podcast episode of The Intelligent Enterprise, Ricardo Costa, Senior Vice President and Chief Technology Officer at Purolator, gives us his views on how to prepare the workforce for AI. In his role as a technology "translator" connecting business strategies with tech implementations, Ricardo highlighted the importance of translating complex tech concepts into simple, understandable stories and addressing leadership challenges in preparing the workforce for AI, including upskilling and ethical considerations.
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By Digitate
On one hand, organizations are ramping up their cloud adoption to stay relevant and competitive in the market; on the other, they haven't had time to put in place the foundational mechanisms to track and check cloud costs. Through this paper, we will try to explain how cloud financial management can help large enterprises with global cloud footprints to get more value out of their cloud investments.
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By Digitate
Digital enterprises need to adopt automation at scale, to remain agile and respond to changes in today's fast-changing business environment. Autonomous IT operations, powered by AI-driven automation can improve service availability, eliminate downtime, free up teams for more value-adding tasks and innovations, drive down operational costs, and even make it easier for organizations to adopt new business processes or leverage new technologies.
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By Digitate
Bring composite visibility with logs, metrics, events, and traces to find and fix issues faster. Observability is no longer a choice but an essential component of future IT infrastructure. Enterprise IT operations are transforming from a traditional, siloed, and people-first approach to a technology-first approach, leveraging AI/ML and automation. This whitepaper touches upon: Download this paper and find out how you can have better visibility and insights into distributed application systems.
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Leverage AI and automation to transform your digital operations, so your business can deliver on its promises.
Digitate’s award-winning solution, ignio™, applies a unique closed-loop approach that transforms IT and business operations from reactive to proactive. It uses intelligent automation to accelerate the journey towards an autonomous enterprise by predicting issues, prescribing remedies, and preventing future problems.
Streamlining and optimizing IT operations:
- Learn context: ignio AIOps tools automate the blueprinting of complex IT landscapes, connecting applications, platforms, and infrastructure to improve visibility and transparency across hybrid digital IT environments. Combined with AI-based behavior profiling, this helps identify IT trends, patterns, and outliers.
- Manage alerts: Intelligent alert management using AI-based reasoning to suppress false positives and redundant alerts, correlate related alerts, and prioritize them based on inferred risk and business impact. ignio enables silent operations, with predictive insights to help IT teams focus only on critical incidents.
- Handle incidents: Autonomous resolution for common incidents through the power of AI and intelligent automation. For issues requiring manual intervention, ignio AIOps identifies expert resolver teams and provides advanced data insights including detailed root-cause analysis and prescriptive actions for faster troubleshooting and issue resolution. As a result, it reduces overall MTTR by 90%.
- Perform actions: Intelligent and adaptive automation to drive autonomous technology lifecycle operations such as patching, provisioning, validation, configuration, compliance management, backup and restore spanning across more than 45 technologies.
- Optimize proactively: Proactive capacity analytics and problem identification to identify risks and opportunities, provide recommendations for optimizing infrastructure/service capacity, and continually improve efficiency of IT operations.
Lead your Enterprise into the Autonomous Future.