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ServiceNow Announces Strategic Collaboration Agreement with AWS

ServiceNow announced a five-year Strategic Collaboration Agreement (SCA) with Amazon Web Services (AWS).

Beginning early 2024, the ServiceNow Platform and full suite of solutions will be available as a Software-as-a-Service (Saas) offering in the AWS Marketplace, a digital catalog with thousands of software listings from independent software vendors that make it easy to find, test, buy, and deploy software that runs on AWS. In addition, the companies will co-develop and launch industry-specific, AI-powered business applications to host on AWS and list in AWS Marketplace to add intelligence to critical business workflows. The collaboration will allow joint customers to benefit from new ways to purchase and use ServiceNow solutions.

The scalability and reach of AWS combined with ServiceNow’s intelligent platform for end-to-end digital transformation, will help customers optimize performance, maintain agility, and provide a more flexible and efficient environment for infrastructure management. The companies will also apply their generative AI engineering expertise to new automation applications with an initial emphasis on transforming manufacturing, supply chain, call centers, and cloud transformation use cases.

“By entering into an SCA with AWS, we’re taking another major step in accelerating end-to-end business transformation,” said Paul Fipps, President of Strategic Accounts at ServiceNow. “Our new SaaS platform on AWS and our co-developed solutions are an integral part of our efforts to help customers put AI to work for their business. We are thrilled to bring together AWS’s leading cloud capabilities, the power of the ServiceNow platform as well as our leadership and innovation in cloud computing, generative AI, and machine learning.”

AWS and ServiceNow have deep experience across industries and have developed integrated solutions for customers that are native to AWS:

- AI Call center solution: ServiceNow Customer Service Management (CSM) integrated with Amazon Connect allows businesses to quickly stand-up advanced contact centers powered by AWS AI technology and ServiceNow workflows to streamline case management. Calls can leverage ServiceNow Now Assist and Amazon AI/ML-powered analytics to detect sentiment, conversation characteristics, and contact themes to provide the agent with relevant knowledge articles and contextual critical information to accelerate resolution time and improve customer satisfaction.

- Cloud transformation solution: Establishes a Cloud Center of Excellence (CCOE) with the ServiceNow platform to allow for comprehensive visibility of cloud workloads to drive AIOps, SecOps and Risk outcomes as well as accelerate cloud adoption within the cloud service catalog. The solution identifies workloads to move to AWS based on existing capacity and business use to streamline operations. ServiceNow’s Technology Workflows solutions allows a customer to choose where they would like to host their data and apps and then recommends data transfers and takes over operation of the workflows within the cloud.

ServiceNow will be available on AWS and in AWS Marketplace to U.S. based private sector companies in early 2024 as well as the new co-developed solutions.

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ServiceNow Announces Strategic Collaboration Agreement with AWS

ServiceNow announced a five-year Strategic Collaboration Agreement (SCA) with Amazon Web Services (AWS).

Beginning early 2024, the ServiceNow Platform and full suite of solutions will be available as a Software-as-a-Service (Saas) offering in the AWS Marketplace, a digital catalog with thousands of software listings from independent software vendors that make it easy to find, test, buy, and deploy software that runs on AWS. In addition, the companies will co-develop and launch industry-specific, AI-powered business applications to host on AWS and list in AWS Marketplace to add intelligence to critical business workflows. The collaboration will allow joint customers to benefit from new ways to purchase and use ServiceNow solutions.

The scalability and reach of AWS combined with ServiceNow’s intelligent platform for end-to-end digital transformation, will help customers optimize performance, maintain agility, and provide a more flexible and efficient environment for infrastructure management. The companies will also apply their generative AI engineering expertise to new automation applications with an initial emphasis on transforming manufacturing, supply chain, call centers, and cloud transformation use cases.

“By entering into an SCA with AWS, we’re taking another major step in accelerating end-to-end business transformation,” said Paul Fipps, President of Strategic Accounts at ServiceNow. “Our new SaaS platform on AWS and our co-developed solutions are an integral part of our efforts to help customers put AI to work for their business. We are thrilled to bring together AWS’s leading cloud capabilities, the power of the ServiceNow platform as well as our leadership and innovation in cloud computing, generative AI, and machine learning.”

AWS and ServiceNow have deep experience across industries and have developed integrated solutions for customers that are native to AWS:

- AI Call center solution: ServiceNow Customer Service Management (CSM) integrated with Amazon Connect allows businesses to quickly stand-up advanced contact centers powered by AWS AI technology and ServiceNow workflows to streamline case management. Calls can leverage ServiceNow Now Assist and Amazon AI/ML-powered analytics to detect sentiment, conversation characteristics, and contact themes to provide the agent with relevant knowledge articles and contextual critical information to accelerate resolution time and improve customer satisfaction.

- Cloud transformation solution: Establishes a Cloud Center of Excellence (CCOE) with the ServiceNow platform to allow for comprehensive visibility of cloud workloads to drive AIOps, SecOps and Risk outcomes as well as accelerate cloud adoption within the cloud service catalog. The solution identifies workloads to move to AWS based on existing capacity and business use to streamline operations. ServiceNow’s Technology Workflows solutions allows a customer to choose where they would like to host their data and apps and then recommends data transfers and takes over operation of the workflows within the cloud.

ServiceNow will be available on AWS and in AWS Marketplace to U.S. based private sector companies in early 2024 as well as the new co-developed solutions.

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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 ...

Seamless shopping is a basic demand of today's boundaryless consumer — one with little patience for friction, limited tolerance for disconnected experiences and minimal hesitation in switching brands. Customers expect intuitive, highly personalized experiences and the ability to move effortlessly across physical and digital channels within the same journey. Failure to deliver can cost dearly ...

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