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OpsRamp Partners With TietoEVRY

OpsRamp has partnered with TietoEVRY.

With a focus on AIOps, TietoEVRY will make the OpsRamp platform a cornerstone of its Next-Gen Enterprise Services, allowing for a fast and scalable way to apply AI and automation to enterprise IT operations.

Headquartered in Finland, TietoEVRY employs 24,000 consultants and services experts globally serving enterprise and public sector customers in more than 90 countries. These organizations must ensure the modernization and performance of critical business systems and applications, which is why TietoEVRY is investing heavily in its Next-Gen Enterprise Services. AIOps is essential to this process.

“Next-Gen Enterprise Services is one of our top strategic priorities, and the OpsRamp platform is a vital part of this offering,” said Alberto Valero, Head of Private Cloud & Edge Services at TietoEVRY. “We see a big opportunity in the Nordic region and with our customers around the world to help streamline IT operations using artificial intelligence. After vetting all the solutions, we feel the OpsRamp platform is the best fit for our customers.”

AIOps from OpsRamp includes several features that automate and streamline IT operations, including inference models, intelligent alerting, alert correlation, alert escalation, auto-incident routing, and auto-remediation. It enables users to proactively see, contextualize, and organize alerts and deal with them before they become problems.

TietoEVRY’s Next-Gen Enterprise Services offering aims to modernize customers’ IT infrastructure and maximize efficiency in operations while continuously improving and automating customers’ IT landscapes. AIOps is at the core of this pursuit.

“The Nordic market for AIOps is growing fast, and TietoEVRY is the leading systems integrator in the region...” said George Bonser, VP of EMEA at OpsRamp.

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OpsRamp Partners With TietoEVRY

OpsRamp has partnered with TietoEVRY.

With a focus on AIOps, TietoEVRY will make the OpsRamp platform a cornerstone of its Next-Gen Enterprise Services, allowing for a fast and scalable way to apply AI and automation to enterprise IT operations.

Headquartered in Finland, TietoEVRY employs 24,000 consultants and services experts globally serving enterprise and public sector customers in more than 90 countries. These organizations must ensure the modernization and performance of critical business systems and applications, which is why TietoEVRY is investing heavily in its Next-Gen Enterprise Services. AIOps is essential to this process.

“Next-Gen Enterprise Services is one of our top strategic priorities, and the OpsRamp platform is a vital part of this offering,” said Alberto Valero, Head of Private Cloud & Edge Services at TietoEVRY. “We see a big opportunity in the Nordic region and with our customers around the world to help streamline IT operations using artificial intelligence. After vetting all the solutions, we feel the OpsRamp platform is the best fit for our customers.”

AIOps from OpsRamp includes several features that automate and streamline IT operations, including inference models, intelligent alerting, alert correlation, alert escalation, auto-incident routing, and auto-remediation. It enables users to proactively see, contextualize, and organize alerts and deal with them before they become problems.

TietoEVRY’s Next-Gen Enterprise Services offering aims to modernize customers’ IT infrastructure and maximize efficiency in operations while continuously improving and automating customers’ IT landscapes. AIOps is at the core of this pursuit.

“The Nordic market for AIOps is growing fast, and TietoEVRY is the leading systems integrator in the region...” said George Bonser, VP of EMEA at OpsRamp.

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As discussions around AI "autonomous coworkers" accelerate, many industry projections assume that agents will soon operate alongside human staff in making decisions, taking actions, and managing tasks with minimal oversight. But a growing number of critics (including some of the developers building these systems) argue that the industry still has a long way to go to be able to treat AI agents like fully trusted teammates ...

Enterprise AI has entered a transformational phase where, according to Digitate's recently released survey, Agentic AI and the Future of Enterprise IT, companies are moving beyond traditional automation toward Agentic AI systems designed to reason, adapt, and collaborate alongside human teams ...

The numbers back this urgency up. A recent Zapier survey shows that 92% of enterprises now treat AI as a top priority. Leaders want it, and teams are clamoring for it. But if you look closer at the operations of these companies, you see a different picture. The rollout is slow. The results are often delayed. There's a disconnect between what leaders want and what their technical infrastructure can handle ...

Kyndryl's 2025 Readiness Report revealed that 61% of global business and technology leaders report increasing pressure from boards and regulators to prove AI's ROI. As the technology evolves and expectations continue to rise, leaders are compelled to generate and prove impact before scaling further. This will lead to a decisive turning point in 2026 ...

Cloudflare's disruption illustrates how quickly a single provider's issue cascades into widespread exposure. Many organizations don't fully realize how tightly their systems are coupled to thirdparty services, or how quickly availability and security concerns align when those services falter ... You can't avoid these dependencies, but you can understand them ...

If you work with AI, you know this story. A model performs during testing, looks great in early reviews, works perfectly in production and then slowly loses relevance after operating for a while. Everything on the surface looks perfect — pipelines are running, predictions or recommendations are error-free, data quality checks show green; yet outcomes don't meet the ground reality. This pattern often repeats across enterprise AI programs. Take for example, a mid-sized retail banking and wealth-management firm with heavy investments in AI-powered risk analytics, fraud detection and personalized credit-decisioning systems. The model worked well for a while, but transactions increased, so did false positives by 18% ...

Basic uptime is no longer the gold standard. By 2026, network monitoring must do more than report status, it must explain performance in a hybrid-first world. Networks are no longer just static support systems; they are agile, distributed architectures that sit at the very heart of the customer experience and the business outcomes ... The following five trends represent the new standard for network health, providing a blueprint for teams to move from reactive troubleshooting to a proactive, integrated future ...

APMdigest's Predictions Series concludes with 2026 AI Predictions — industry experts offer predictions on how AI and related technologies will evolve and impact business in 2026. Part 5, the final installment, covers AI's impacts on IT teams ...

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