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EasyVista to Acquire Knowesia

EasyVista announced the forthcoming acquisition of Knowesia, a self-help modeling and guided support software company based in France with operations in the US and customers around the world.

The acquisition supports EasyVista’s innovation strategy to deliver next generation self-service in the enterprise by integrating intelligent self-help capabilities with EasyVista’s ITSM 2.0 platform.

The acquisition of Knowesia will enable EasyVista to offer a codeless way to model and deliver intelligent knowledge processes that can be integrated with virtual assistants or chatbots to enhance the self-help experience.

“Knowledge management is vital for any company wanting to take advantage of the artificial intelligence algorithms driving the next generation of self-service,” said Sylvain Gauthier, Co-Founder and CEO of EasyVista. “This acquisition enables us to more seamlessly integrate EasyVista's ITSM 2.0 platform with the innovative Knowesia Knowledge Management solution, creating an unparalleled self-help experience for our customers and their end users. Our goal is to help customers dramatically reduce Tier 1 requests by giving employees and IT staff an intuitive and intelligent self-service experience. IT has evolved past desktops, laptops and tablets and is being asked to support anything that connects to the network – making intelligent knowledge trees a critical capability for supporting the digital enterprise.”

Knowesia is best known for its innovative approach to modeling knowledge and procedures into decision trees. Upon completion of the modeling process, Knowesia instantly and automatically converts models into dynamic, interactive web applications. These applications can then be accessed on computers, phones and tablets, making them available to the workforce from anywhere.

“We have worked hard to make Knowesia a user-friendly solution for employees that enables autonomous and intelligent management of service and support issues,” said Thibault de Clisson, CEO of Knowesia. “We are very enthusiastic about joining EasyVista given the synergies of our technology offerings and our shared strategic focus on driving a better self-help experience for employees while reducing the costs of IT.”

Knowesia developed its technology with the support of France’s National Agency for the Valuation of Research (ANVAR).

The acquisition is expected to close in July 2017.

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EasyVista to Acquire Knowesia

EasyVista announced the forthcoming acquisition of Knowesia, a self-help modeling and guided support software company based in France with operations in the US and customers around the world.

The acquisition supports EasyVista’s innovation strategy to deliver next generation self-service in the enterprise by integrating intelligent self-help capabilities with EasyVista’s ITSM 2.0 platform.

The acquisition of Knowesia will enable EasyVista to offer a codeless way to model and deliver intelligent knowledge processes that can be integrated with virtual assistants or chatbots to enhance the self-help experience.

“Knowledge management is vital for any company wanting to take advantage of the artificial intelligence algorithms driving the next generation of self-service,” said Sylvain Gauthier, Co-Founder and CEO of EasyVista. “This acquisition enables us to more seamlessly integrate EasyVista's ITSM 2.0 platform with the innovative Knowesia Knowledge Management solution, creating an unparalleled self-help experience for our customers and their end users. Our goal is to help customers dramatically reduce Tier 1 requests by giving employees and IT staff an intuitive and intelligent self-service experience. IT has evolved past desktops, laptops and tablets and is being asked to support anything that connects to the network – making intelligent knowledge trees a critical capability for supporting the digital enterprise.”

Knowesia is best known for its innovative approach to modeling knowledge and procedures into decision trees. Upon completion of the modeling process, Knowesia instantly and automatically converts models into dynamic, interactive web applications. These applications can then be accessed on computers, phones and tablets, making them available to the workforce from anywhere.

“We have worked hard to make Knowesia a user-friendly solution for employees that enables autonomous and intelligent management of service and support issues,” said Thibault de Clisson, CEO of Knowesia. “We are very enthusiastic about joining EasyVista given the synergies of our technology offerings and our shared strategic focus on driving a better self-help experience for employees while reducing the costs of IT.”

Knowesia developed its technology with the support of France’s National Agency for the Valuation of Research (ANVAR).

The acquisition is expected to close in July 2017.

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In the world of digital-first business, there is no tolerance for service outages. Businesses know that outages are the quickest way to lose money and customers. For smaller organizations, unplanned downtime could even force the business to close ... A new study from PagerDuty, The State of AI-First Operations, reveals that companies actively incorporating AI into operations now view operational resilience as a growth driver rather than a cost center. But how are they achieving it? ...

In live financial environments, capital markets software cannot pause for rebuilds. New capabilities are introduced as stacked technology layers to meet evolving demands while systems remain active, data keeps moving, and controls stay intact. AI is no exception, and its opportunities are significant: accelerated decision cycles, compressed manual workflows, and more effective operations across complex environments. The constraint isn't the models themselves, but the architectural environments they enter ...

Like most digital transformation shifts, organizations often prioritize productivity and leave security and observability to keep pace. This usually translates to both the mass implementation of new technology and fragmented monitoring and observability (M&O) tooling. In the era of AI and varied cloud architecture, a disparate observability function can be dangerous. IT teams will lack a complete picture of their IT environment, making it harder to diagnose issues while slowing down mean time to resolve (MTTR). In fact, according to recent data from the SolarWinds State of Monitoring & Observability Report, 77% of IT personnel said the lack of visibility across their on-prem and cloud architecture was an issue ...

In MEAN TIME TO INSIGHT Episode 23, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses the NetOps labor shortage ... 

Technology management is evolving, and in turn, so is the scope of FinOps. The FinOps Foundation recently updated their mission statement from "advancing the people who manage the value of cloud" to "advancing the people who manage the value of technology." This seemingly small change solidifies a larger evolution: FinOps practitioners have organically expanded to be focused on more than just cloud cost optimization. Today, FinOps teams are largely — and quickly — expanding their job descriptions, evolving into a critical function for managing the full value of technology ...

Enterprises are under pressure to scale AI quickly. Yet despite considerable investment, adoption continues to stall. One of the most overlooked reasons is vendor sprawl ... In reality, no organization deliberately sets out to create sprawling vendor ecosystems. More often, complexity accumulates over time through well-intentioned initiatives, such as enterprise-wide digital transformation efforts, point solutions, or decentralized sourcing strategies ...

Nearly every conversation about AI eventually circles back to compute. GPUs dominate the headlines while cloud platforms compete for workloads and model benchmarks drive investment decisions. But underneath that noise, a quieter infrastructure challenge is taking shape. The real bottleneck in enterprise AI is not processing power, it is the ability to store, manage and retrieve the relentless volumes of data that AI systems generate, consume and multiply ...

The 2026 Observability Survey from Grafana Labs paints a vivid picture of an industry maturing fast, where AI is welcomed with careful conditions, SaaS economics are reshaping spending decisions, complexity remains a defining challenge, and open standards continue to underpin it all ...

The observability industry has an evolving relationship with AI. We're not skeptics, but it's clear that trust in AI must be earned ... In Grafana Labs' annual Observability Survey, 92% said they see real value in AI surfacing anomalies before they cause downtime. Another 91% endorsed AI for forecasting and root cause analysis. So while the demand is there, customers need it to be trustworthy, as the survey also found that the practitioners most enthusiastic about AI are also the most insistent on explainability ...

In the modern enterprise, the conversation around AI has moved past skepticism toward a stage of active adoption. According to our 2026 State of IT Trends Report: The Human Side of Autonomous AI, nearly 90% of IT professionals view AI as a net positive, and this optimism is well-founded. We are seeing agentic AI move beyond simple automation to actively streamlining complex data insights and eliminating the manual toil that has long hindered innovation. However, as we integrate these autonomous agents into our ecosystems, the fundamental DNA of the IT role is evolving ...