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ServiceNow to Acquire Element AI

ServiceNow has signed an agreement to acquire Element AI, an artificial intelligence (AI) company with deep AI capabilities and some of the world’s brightest AI minds.

Element AI will significantly enhance ServiceNow’s commitment to build the world’s most intelligent workflow platform, enabling employees to work smarter and faster, streamline business decisions, and unlock new levels of productivity.

Element AI has world‑class scientists and practitioners who will bring expertise in applying modern AI to text and language, chat, images, search, question response, and summarization and will accelerate AI innovation natively in the Now Platform. Element AI Co‑founder and Lead Fellow, Dr. Yoshua Bengio, a winner of the 2018 ACM A.M. Turing Award for his pioneering contributions to modern AI, will serve as a technical advisor for ServiceNow.

With the acquisition of Element AI, ServiceNow will create an AI Innovation Hub in Canada to accelerate customer‑focused AI innovation in the Now Platform. The new investment deepens ServiceNow’s commitment to the Canadian market, which has long been a leader in AI research and represents one of the world’s most significant locations for AI talent. ServiceNow’s AI Innovation Hub in Canada follows similar investments by ServiceNow to create technology development centers in Chicago, Hyderabad, Kirkland, Wash., San Diego, and Silicon Valley.

"AI technology is evolving rapidly as companies race to digitally transform 20th century processes and business models," said ServiceNow Chief AI Officer Vijay Narayanan. "ServiceNow is leading this once‑in‑a‑generation opportunity to make work, work better for people. With Element AI’s powerful capabilities and world class talent, ServiceNow will empower employees and customers to focus on areas where only humans excel – creative thinking, customer interactions, and unpredictable work. That’s a smarter way to workflow."

ServiceNow has seen strong demand for its AI‑powered products such as IT Service Management Pro, Customer Service Management Pro, and HR Service Delivery Pro. With practical, purpose‑built AI and analytics capabilities embedded into its Now Platform and workflow products, ServiceNow enables enterprises to surface and summarize relevant information, understand content and conversations, make predictions and recommendations, take optimal actions, and automate repetitive tasks.

"Element AI’s vision has always been to redefine how companies use AI to help people work smarter," said Element AI Founder and CEO, Jean‑Francois Gagné. "ServiceNow is leading the workflow revolution and we are inspired by its purpose to make the world of work, work better for people. ServiceNow is the clear partner for us to apply our talent and technology to the most significant challenges facing the enterprise today."

The acquisition of Element AI is ServiceNow’s latest strategic investment to accelerate AI innovation in the Now Platform. In March, ServiceNow hired Narayanan and launched Now Intelligence, a set of powerful AI capabilities to help customers scale insight to action. Element AI is ServiceNow’s fourth AI acquisition in 2020, following Loom Systems, Passage AI, and Sweagle.

The Element AI team are leaders in the AI community and have pioneered modern AI over the last decade. Element AI was founded in 2016 by CEO Jean‑Francois Gagné, Anne Martel, Nicolas Chapados, Jean‑Sebastien Cournoyer, Yoshua Bengio, and Philippe Beaudoin.

ServiceNow expects to complete the acquisition in early 2021.

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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 ...

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AI workloads require an enormous amount of computing power ... What's also becoming abundantly clear is just how quickly AI's computing needs are leading to enterprise systems failure. According to Cockroach Labs' State of AI Infrastructure 2026 report, enterprise systems are much closer to failure than their organizations realize. The report ... suggests AI scale could cause widespread failures in as little as one year — making it a clear risk for business performance and reliability.

The quietest week your engineering team has ever had might also be its best. No alarms going off. No escalations. No frantic Teams or Slack threads at 2 a.m. Everything humming along exactly as it should. And somewhere in a leadership meeting, someone looks at the metrics dashboard, sees a flat line of incidents and says: "Seems like things are pretty calm over there. Do we really need all those people?" ... I've spent many years in engineering, and this pattern keeps repeating ...

The gap is widening between what teams spend on observability tools and the value they receive amid surging data volumes and budget pressures, according to The Breaking Point for Observability Leaders, a report from Imply ...

ServiceNow to Acquire Element AI

ServiceNow has signed an agreement to acquire Element AI, an artificial intelligence (AI) company with deep AI capabilities and some of the world’s brightest AI minds.

Element AI will significantly enhance ServiceNow’s commitment to build the world’s most intelligent workflow platform, enabling employees to work smarter and faster, streamline business decisions, and unlock new levels of productivity.

Element AI has world‑class scientists and practitioners who will bring expertise in applying modern AI to text and language, chat, images, search, question response, and summarization and will accelerate AI innovation natively in the Now Platform. Element AI Co‑founder and Lead Fellow, Dr. Yoshua Bengio, a winner of the 2018 ACM A.M. Turing Award for his pioneering contributions to modern AI, will serve as a technical advisor for ServiceNow.

With the acquisition of Element AI, ServiceNow will create an AI Innovation Hub in Canada to accelerate customer‑focused AI innovation in the Now Platform. The new investment deepens ServiceNow’s commitment to the Canadian market, which has long been a leader in AI research and represents one of the world’s most significant locations for AI talent. ServiceNow’s AI Innovation Hub in Canada follows similar investments by ServiceNow to create technology development centers in Chicago, Hyderabad, Kirkland, Wash., San Diego, and Silicon Valley.

"AI technology is evolving rapidly as companies race to digitally transform 20th century processes and business models," said ServiceNow Chief AI Officer Vijay Narayanan. "ServiceNow is leading this once‑in‑a‑generation opportunity to make work, work better for people. With Element AI’s powerful capabilities and world class talent, ServiceNow will empower employees and customers to focus on areas where only humans excel – creative thinking, customer interactions, and unpredictable work. That’s a smarter way to workflow."

ServiceNow has seen strong demand for its AI‑powered products such as IT Service Management Pro, Customer Service Management Pro, and HR Service Delivery Pro. With practical, purpose‑built AI and analytics capabilities embedded into its Now Platform and workflow products, ServiceNow enables enterprises to surface and summarize relevant information, understand content and conversations, make predictions and recommendations, take optimal actions, and automate repetitive tasks.

"Element AI’s vision has always been to redefine how companies use AI to help people work smarter," said Element AI Founder and CEO, Jean‑Francois Gagné. "ServiceNow is leading the workflow revolution and we are inspired by its purpose to make the world of work, work better for people. ServiceNow is the clear partner for us to apply our talent and technology to the most significant challenges facing the enterprise today."

The acquisition of Element AI is ServiceNow’s latest strategic investment to accelerate AI innovation in the Now Platform. In March, ServiceNow hired Narayanan and launched Now Intelligence, a set of powerful AI capabilities to help customers scale insight to action. Element AI is ServiceNow’s fourth AI acquisition in 2020, following Loom Systems, Passage AI, and Sweagle.

The Element AI team are leaders in the AI community and have pioneered modern AI over the last decade. Element AI was founded in 2016 by CEO Jean‑Francois Gagné, Anne Martel, Nicolas Chapados, Jean‑Sebastien Cournoyer, Yoshua Bengio, and Philippe Beaudoin.

ServiceNow expects to complete the acquisition in early 2021.

The Latest

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 ...

AI workloads require an enormous amount of computing power ... What's also becoming abundantly clear is just how quickly AI's computing needs are leading to enterprise systems failure. According to Cockroach Labs' State of AI Infrastructure 2026 report, enterprise systems are much closer to failure than their organizations realize. The report ... suggests AI scale could cause widespread failures in as little as one year — making it a clear risk for business performance and reliability.

The quietest week your engineering team has ever had might also be its best. No alarms going off. No escalations. No frantic Teams or Slack threads at 2 a.m. Everything humming along exactly as it should. And somewhere in a leadership meeting, someone looks at the metrics dashboard, sees a flat line of incidents and says: "Seems like things are pretty calm over there. Do we really need all those people?" ... I've spent many years in engineering, and this pattern keeps repeating ...

The gap is widening between what teams spend on observability tools and the value they receive amid surging data volumes and budget pressures, according to The Breaking Point for Observability Leaders, a report from Imply ...