... Retail lending is rapidly evolving through innovation, with technologies like AI, digital platforms, and automation streamlining processes and enhancing customer experiences. By embracing innovative solutions, CIOs can enable lenders to better meet customer needs and remain competitive in a changing ...
Analyst(s): Mary Yan
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... Gartner client? AI agents will fail if they rely solely on standard explicit documentation. D&A leaders should extract and codify undocumented expertise to provide the context AI agents need for complex decision making. This five-step playbook details how to capture tacit skills and increase AI agent autonomy ...
... As AI agents slide into Gartner’s Trough of Disillusionment, it is essential that tech service leaders present easily understood examples of AI agents that are in production and delivering meaningful value. With so many POCs failing to make it to production skepticism is running high; examples of proven ...
... The gap between AI leaders and followers is widening. While leading marketing teams progress from AI competence to confidence, others fall into “competency traps” that impede their progress. CMOs should adopt three tactics from successful peers to accelerate their teams’ AI success and drive growth. ...
Analyst(s): Carlos Guerrero | Sharon Cantor Ceurvorst
... large-scale AI deployments can overwhelm power and other constraints of enterprise-owned data centers. By choosing emerging AI hardware optimized for enterprise data centers and applying design and operational controls, heads of I&O can deploy infrastructure with sufficient capacity to meet on-premises AI projects ...
... Advances in AI technology are driving the rapid expansion of AI portfolios, while also increasing the need for effective AI governance. To prevent centralized governance becoming the bottleneck for AI, leaders responsible for AI governance should adopt a hybrid approach that balances risk mitigation ...
Analyst(s): Ben Yan | Akash Krishnan, PhD | Lauren Kornutick
... Software engineering leaders must use platform engineering to deliver opinionated, automated paths that enable AI agents to build, deploy, and operate software. Ensure scalable, consistent, and compliant outcomes by exposing machine-consumable building blocks with embedded governance and validation. ...
... and optical integration, but supply risk shifts deeper into the package materials, memory integration and test stack. Buyers should secure multiyear AI infrastructure capacity; suppliers should invest in qualified materials and ecosystem partnerships. Insights at a Glance Strategic Planning Assumptions ...
... Software engineering leaders should use this accelerator to adopt and scale agentic AI or AI agents in the SDLC. Outcome Suggested Partners Step 1 Step 2 Step 3 Step 4 Gartner Insights Abstract ...