Adobe and ServiceNow announced a partnership to empower brands with a solution for stitching together Adobe customer experience data and customer data, ultimately providing seamless digital workflows and personalized customer experiences across all touchpoints.
Organizations use customer engagement solutions to better understand and personalize digital experience for customers. But this data is typically siloed and disconnected from the customer service experience. Customers expect a seamless, personalized experience as well as quick issue resolution. Adobe and ServiceNow will enable integrations between Adobe Experience Platform and the ServiceNow Now Platform to enhance Adobe’s real‑time customer profiles with rich customer data. This will create a more comprehensive view of a customer across their entire digital journey – from acquisition to service.
Additionally, Adobe Experience Cloud solutions will integrate with the ServiceNow Now Platform, including its Customer Service Management (CSM) solutions to enable better customer and employee experiences across both companies’ applications. Adobe and ServiceNow will partner to enable their mutual customers to integrate and leverage digital workflows, service catalogs, intelligent content and knowledge management capabilities.
“Customers demand exceptional experiences, and businesses are looking to transform customer service and engagement,” said John Donahoe, President and CEO, ServiceNow. “Together, ServiceNow and Adobe will help enable seamless digital workflows that power the experiences customers want and that businesses seek to provide.”
“Delivering personalized, real‑time customer experiences is at the core of every successful enterprise,” said Shantanu Narayen, President and CEO, Adobe. “Adobe and ServiceNow are partnering to provide enterprises with real‑time actionable data across the customer journey so they can better manage and grow their digital businesses.”
This partnership will enable customers to benefit from a centralized, intelligent Customer Experience Management (CXM) tool and, along with the ServiceNow Now Platform, customers will be able to streamline work between teams and ultimately build rich, real‑time customer profiles in an instant. For example, our mutual customers will be able to seamlessly integrate ServiceNow digital workflows, knowledge management and service catalogs into a personalized engagement layer through Adobe Experience Platform, to create consistent, contextual experiences and services.
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 ...