... sells its product as a stand-alone SaaS management platform as presented in Magic Quadrant for SaaS Management Platforms. It is now only available within its complete hardware and software IT asset management (ITAM) solution. Key Background Considerations for Technology and Service Selection Gartner Recommended ...
Analyst(s): Tom Cipolla
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... the Magic Quadrant for SaaS Management Platforms, to extend and strengthen its Extended Access Management Platform. This update helps infrastructure and IT operations leaders responsible for SaaS management understand the impact of the acquisition. Key Background Considerations for Technology and Service ...
... The emergence of AI agents marks the next significant wave in AI innovation. Platformsfor creating, deploying and managing AI agents introduce transformative changes to IT and business workflows. This research will help AI leaders navigate the complex and emerging AI agent platforms landscape. Overview ...
Analyst(s): Radu Miclaus | David Pidsley | Tom Coshow | Arun Chandrasekaran | Gary Olliffe | Haritha Khandabattu | Leinar Ramos | Gabriele Rigon
... client? As AI commoditizes baseline technical capabilities, IT service providers must shift from selling labor/fixed-fee models to orchestrating hybrid human/AI value, leveraging proprietary context, platforms, and trust to differentiate and win in a growing business-outcome-driven market. Overview ...
... emerging trends CIOs and application leaders must validate dependencies, subscriptions, usage charges, and platform lock-in before committing to Salesforce’s AIforce. Prebuilt agents ease deployment across AI surfaces and simplify adoption, but the costs can add up quickly. Analysis Gartner Recommended Reading ...
... escalating security and compliance risks while hindering modern collaboration. To mitigate these threats and fully capitalize on modern digital experience platforms, IT leaders must promote enterprise adoption of workstream collaboration tools. Insights at a Glance Analysis Gartner Recommended Reading Gartner ...
Analyst(s): Sebastian Kempf | Joe Mariano | Rachel O'Farrell
... engineering leaders must optimize AI spend, but comparing models on per-token costs ignores the key cost drivers of token consumption and success rates. Benchmark cost per successful task to make better decisions around model-harness configuration, routing and platform engineering. Insights at a Glance ...
Analyst(s): Nitish Tyagi | Keith Holloway | Alec Pallin | Luke Parker
... a Gartner client? Agentic AI is decoupling software value from human seat counts, breaking the per-seat model that funds most software engineering and DevOps tools. Product leaders must reprice from access to work performed, or watch license revenue compress even as platform usage soars. Overview Strategic ...
... China’s lower margin expectations and vast industrial data will force global AImarket bifurcation as model optimization evolves into hardware-model co-design. SaaS vendors, cloud platforms and system integrators must adapt by shifting from token markups toward edge execution and domain workflows. Insights ...
Analyst(s): Rithvik Kumar | Rishi Padhi | Roger Sheng