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IBM and ServiceNow Announce Joint Solution

IBM and ServiceNow announced an expansion to their strategic partnership designed to help companies reduce operational risk and lower costs by applying AI to automate IT operations.

Available later this year, a new joint solution will combine IBM's AI-powered hybrid cloud software and professional services to ServiceNow's intelligent workflow capabilities and market-leading IT service and operations management products.

The solution is engineered to help clients realize deeper, AI-driven insights from their data, create a baseline of a typical IT environment, and take succinct recommended actions on outlying behavior to help prevent and fix IT issues at scale. Together, IBM and ServiceNow can help companies free up valuable time and IT resources from maintenance activities, to focus on driving the transformation projects necessary to support the digital demands of their businesses.

"AI is one of the biggest forces driving change in the IT industry to the extent that every company is swiftly becoming an AI company," said Arvind Krishna, CEO, IBM. "By partnering with ServiceNow and their market leading Now Platform, clients will be able to use AI to quickly mitigate unforeseen IT incident costs. Watson AIOps with ServiceNow's Now Platform is a powerful new way for clients to use automation to transform their IT operations."

"For every CEO, digital transformation has gone from opportunity to necessity," said ServiceNow CEO Bill McDermott. "As ServiceNow leads the workflow revolution, our partnership with IBM combines the intelligent automation capabilities of the Now Platform with the power of Watson AIOps. We are focused on driving a generational step improvement in productivity, innovation and growth. ServiceNow and IBM are helping customers meet the digital demands of 21st century business."

Organizations are under pressure to deliver innovation and create great experiences for customers and employees, all while driving efficiencies and keeping costs and IT risks down. Yet in today's technology-driven organization, even the smallest outages can cause massive economic impact for both lost revenue and reputation. This partnership will help customers address these challenges and help avoid unnecessary loss of revenue and reputation by automating old, manual IT processes and increasing IT productivity.

IBM and ServiceNow will deliver a joint IT solution that marries IBM Watson AIOps with ServiceNow's intelligent workflow capabilities and market-leading ITSM and ITOM Visibility products to help customers prevent and fix IT issues at scale. Now, businesses that use ServiceNow ITSM can push historical incident data into the deep machine learning algorithms of Watson AIOps to create a baseline of their normal IT environment, while simultaneously having the ability to help them identify anomalies outside of that normal, which could take a human up to 60% longer to manually identify, according to initial results from specific Watson AIOps early adopter clients. The joint solution will position customers to enhance employee productivity, obtain greater visibility into their operational footprint and respond to incidents and issues faster.

Specific product capabilities will include:

- ServiceNow ITSM allows IT to deliver scalable services on a single cloud platform estimated to increase productivity by 20%.

- ServiceNow ITOM Visibility automatically delivers near real-time visibility from a native Configuration Management Database, into all resources and the true operational state of all business services.

- IBM Watson AIOps uses AI to automate how enterprises detect, diagnose, and respond to, and remediate IT anomalies in real time. The solution is designed to help CIOs make more informed decisions when predicting and shaping future outcomes, focus resources on higher-value work and build more responsive and intelligent applications that can stay up and running longer. Using Watson AIOps, the average time to resolve incidents was reduced by 65 percent, according to one recent initial proof of concept project with a client.

- Services: IBM is expanding its global ServiceNow business to include additional capabilities that provide advisory, implementation, and managed services on the Now Platform. Highly-skilled IBM practitioners will apply their expertise to facilitate rapid delivery of valuable insights and innovation to clients. IBM Services professionals also will introduce clients to intelligent workflows to help improve resiliency and reduce IT risk. ServiceNow is co-investing in training and certification of IBM employees and dedicated staff for customer success.

For example, using the IBM and ServiceNow joint solution, a bank will be able to obtain a full view of an incident, from start to finish. With recommendations and deep diagnosis from Watson AIOps, a service agent will be able to quickly understand the incident, without ever leaving the ServiceNow ITSM platform. Leveraging more than an agent's own knowledge and research, Watson AIOps can provide anomaly detection along with automated recommendations from the historical deep analysis of prior incidents. Using incident management tools from ServiceNow, actions and insights can be recorded for auditing purposes and for leveraging future insights. Watson AIOps can then push important context to tickets, discovered only via AI algorithms and baselining techniques, helping to make the data more useful to agents and retraining the AI over time.

Also today, IBM announced the formation of the AIOps Elite Team – a new no-charge advanced engagement team, dedicated to engineering AIOps in a client environment and building and refining AI models.

The new joint solution will be enabled through a joint go-to-market strategy and will be available later this year from IBM.

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IBM and ServiceNow Announce Joint Solution

IBM and ServiceNow announced an expansion to their strategic partnership designed to help companies reduce operational risk and lower costs by applying AI to automate IT operations.

Available later this year, a new joint solution will combine IBM's AI-powered hybrid cloud software and professional services to ServiceNow's intelligent workflow capabilities and market-leading IT service and operations management products.

The solution is engineered to help clients realize deeper, AI-driven insights from their data, create a baseline of a typical IT environment, and take succinct recommended actions on outlying behavior to help prevent and fix IT issues at scale. Together, IBM and ServiceNow can help companies free up valuable time and IT resources from maintenance activities, to focus on driving the transformation projects necessary to support the digital demands of their businesses.

"AI is one of the biggest forces driving change in the IT industry to the extent that every company is swiftly becoming an AI company," said Arvind Krishna, CEO, IBM. "By partnering with ServiceNow and their market leading Now Platform, clients will be able to use AI to quickly mitigate unforeseen IT incident costs. Watson AIOps with ServiceNow's Now Platform is a powerful new way for clients to use automation to transform their IT operations."

"For every CEO, digital transformation has gone from opportunity to necessity," said ServiceNow CEO Bill McDermott. "As ServiceNow leads the workflow revolution, our partnership with IBM combines the intelligent automation capabilities of the Now Platform with the power of Watson AIOps. We are focused on driving a generational step improvement in productivity, innovation and growth. ServiceNow and IBM are helping customers meet the digital demands of 21st century business."

Organizations are under pressure to deliver innovation and create great experiences for customers and employees, all while driving efficiencies and keeping costs and IT risks down. Yet in today's technology-driven organization, even the smallest outages can cause massive economic impact for both lost revenue and reputation. This partnership will help customers address these challenges and help avoid unnecessary loss of revenue and reputation by automating old, manual IT processes and increasing IT productivity.

IBM and ServiceNow will deliver a joint IT solution that marries IBM Watson AIOps with ServiceNow's intelligent workflow capabilities and market-leading ITSM and ITOM Visibility products to help customers prevent and fix IT issues at scale. Now, businesses that use ServiceNow ITSM can push historical incident data into the deep machine learning algorithms of Watson AIOps to create a baseline of their normal IT environment, while simultaneously having the ability to help them identify anomalies outside of that normal, which could take a human up to 60% longer to manually identify, according to initial results from specific Watson AIOps early adopter clients. The joint solution will position customers to enhance employee productivity, obtain greater visibility into their operational footprint and respond to incidents and issues faster.

Specific product capabilities will include:

- ServiceNow ITSM allows IT to deliver scalable services on a single cloud platform estimated to increase productivity by 20%.

- ServiceNow ITOM Visibility automatically delivers near real-time visibility from a native Configuration Management Database, into all resources and the true operational state of all business services.

- IBM Watson AIOps uses AI to automate how enterprises detect, diagnose, and respond to, and remediate IT anomalies in real time. The solution is designed to help CIOs make more informed decisions when predicting and shaping future outcomes, focus resources on higher-value work and build more responsive and intelligent applications that can stay up and running longer. Using Watson AIOps, the average time to resolve incidents was reduced by 65 percent, according to one recent initial proof of concept project with a client.

- Services: IBM is expanding its global ServiceNow business to include additional capabilities that provide advisory, implementation, and managed services on the Now Platform. Highly-skilled IBM practitioners will apply their expertise to facilitate rapid delivery of valuable insights and innovation to clients. IBM Services professionals also will introduce clients to intelligent workflows to help improve resiliency and reduce IT risk. ServiceNow is co-investing in training and certification of IBM employees and dedicated staff for customer success.

For example, using the IBM and ServiceNow joint solution, a bank will be able to obtain a full view of an incident, from start to finish. With recommendations and deep diagnosis from Watson AIOps, a service agent will be able to quickly understand the incident, without ever leaving the ServiceNow ITSM platform. Leveraging more than an agent's own knowledge and research, Watson AIOps can provide anomaly detection along with automated recommendations from the historical deep analysis of prior incidents. Using incident management tools from ServiceNow, actions and insights can be recorded for auditing purposes and for leveraging future insights. Watson AIOps can then push important context to tickets, discovered only via AI algorithms and baselining techniques, helping to make the data more useful to agents and retraining the AI over time.

Also today, IBM announced the formation of the AIOps Elite Team – a new no-charge advanced engagement team, dedicated to engineering AIOps in a client environment and building and refining AI models.

The new joint solution will be enabled through a joint go-to-market strategy and will be available later this year from IBM.

The Latest

I've spent a lot of time in the channel, and one thing I keep coming back to is this: a partner program is only as good as what it looks like in the field. Many programs look great on paper, but when a partner is in front of a customer navigating a complex hybrid environment or trying to make the case for AI-powered observability, the gap between what a vendor promises and what it actually delivers becomes very clear, very fast ...

Enterprises today operate in a real-time environment where uninterrupted access to trusted data has become a baseline expectation for users, applications and automated systems. Traditional DataOps models, built on manual effort and human triage, cannot keep pace with this always active demand. AI agents are emerging as the operational backbone, ensuring consistent data availability, reinforcing trustworthiness and enabling a level of scale that manual processes cannot achieve ...

For decades, trust in the digital workplace rested on familiar signals. We trusted faces on video calls, voices on the phone, and emails that appeared to come from people we knew. These cues felt human and intuitive. They anchored how decisions were made, approvals were granted, and access was authorized. AI-powered deepfakes have quietly broken that model ...

Cloud migration was supposed to be a one-way door. For most enterprises, it turns out it isn't. Cloud data repatriation is a real and growing trend. A new survey ... finds that 89% of organizations plan to expand their on-premises infrastructure footprint over the next two years — and 75% have already moved at least some workloads back from public cloud in the past 24 months. The findings point to a broad rethinking of where data belongs ...

Over the past few years, large language models (LLMs) have revolutionized the software industry. Given their ability to excel at multi-step reasoning, LLMs have helped enterprises streamline workflows and adapt to the unknown. However, employing such models comes with sky-high costs, latency issues, and limited flexibility. In the realm of IT operations, it is generally wiser to employ smaller, domain-specific models instead ...

For years, DevOps teams operated under a simple assumption: collect enough telemetry, and you can find and fix any problem. That assumption is breaking down. Modern enterprises now operate across microservices, hybrid cloud environments, APIs, Kubernetes, and highly automated delivery pipelines. Releases happen continuously, dependencies shift constantly, and failures spread faster than teams can diagnose them ...

New Relic surveyed IT and engineering leaders from the media and entertainment (M&E) sector to understand what's working — and where challenges persist with their observability practices. The findings reveal how M&E organizations are navigating rising platform complexity, audience expectations, and AI-driven change. Below are five takeaways that stand out ...

Let me start with something I've seen play out more times than I can count. A team hits a wall with the cloud. Costs creep up, then spike. Performance starts to feel inconsistent. Someone in finance asks a simple question like "why did this double?" and nobody has a clean answer ... Maybe this isn't the right place for everything. That realization feels like a breakthrough, like you've identified the problem. In reality, you've just identified the starting line ...

In MEAN TIME TO INSIGHT Episode 24, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses network observability tool sprawl ... 

In cloud-native systems, scaling is often as simple as moving a slider. For on-premise databases, the stakes are different. Over-provisioning hardware is expensive. Under-provisioning leads to performance bottlenecks that are difficult to fix once the equipment is in the rack ...