... Success with AI deployments requires significant planning for resources and other considerations that many customer service and support leaders overlook. Use this rubric to assess your readiness for your prioritized AI use case(s). When to Use Directions for Use Gartner Recommended Reading Gartner Insights ...
Analyst(s): Ian Elliott | Brett Overbey | Patrick Quinlan
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... Already a Gartner client? Leveraging AI applications has become a strategic imperative for organizations to stay ahead of competition, but enterprise adoption faces integration and governance headwinds. Product leaders can reduce adoption barriers by streamlining AI integration and ensuring strong governance ...
... This year’s Tech Growth & Innovation Conference helped vendors supercharge their growth engine in light of generative AI, economic uncertainty and evolving B2B customer demands. Listen to this month’s Time to Value podcast to hear Gartner’s most popular insights from the event. Overview About the Guest ...
Analyst(s): David Yockelson | Adrian Lee | Jill Silva-Braga
... Access Insights Already a Gartner client? This research provides banking CIOs with strategies to quantify AI’s value by linking AI use cases to employee performance and business outcomes. Gartner’s approach offers a framework for selecting ROI metrics that align with stakeholder priorities. Insights ...
... Virtual Care by Reviewing Needs vs. EHR/Healthcare Megasuite Capability Develop an Enterprise Virtual Care IT Strategic Plan That Leverages the EHR, but Avoids the Lazy Loyalists Trap by Analyzing Vendor Roadmap and Past Delivery Performance Plan Your Care Delivery Architecture Around Gaps in Megasuite ...
... U.S. healthcare providers face mounting operational costs and revenue risk due to preventable high-cost claims denials. To improve the bottom line, CIOs must engage revenue cycle management claims denial workflow and prevention automation, analytics, and leadership accountability. Analysis The High-Cost ...
... Access Insights Already a Gartner client? Software engineering teams are adopting AI tools unevenly due to tool sprawl, rapid AI change, review burden and risk concerns. Reduce this friction through curated developer platforms, funded peer-based learning, platform-harness engineering for coding agents ...
Analyst(s): Aliyah Camacho | Luke Parker | Keith Holloway
... Genomics and other omics systems are becoming viable and business leaders are beginning to inquire about how to leverage omics data. Healthcare and life science CIOs need to prioritize the skills, processes, technologies, governance and privacy required to elevate genomics data as a corporate asset. ...
... In 2026 and beyond, the greatest opportunity for organizations to capture value from AI lies in accelerating front‑end innovation — the upstream activities that generate new ideas, intellectual property and market differentiation. Yet R&D leaders cite rising cost pressures and a scarcity of critical ...