... ’ AI strategy, governance model, and compliance requirements. Analysis Gartner Recommended Reading Evolving Insights History ...
Analyst(s): Steve Mate | Marlena Brown
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... First Takes Fresh insights on emerging trends Customer service technology leaders should reassess their voice agent roadmaps in light of Salesforce’s plan to acquire Cresta as Salesforce expands its agentic customer service strategy. Insist on integration plans covering governance, cross-platform interoperability ...
... embedded in workflows, heads of ERM must orchestrate cross-silo risk governance, leverage AI to increase risk insight, and empower strategic choices with risk engagements. Overview Recommended Actions Gartner Recommended Reading Gartner Insights Abstract ...
... market leaders will differentiate through governance, trust, assurance and autonomy management capabilities that enable enterprises to scale autonomous execution safely. Insights at a Glance Issue Impact Implications Gartner Recommended Reading Gartner Insights Abstract ...
... guardrails and provide AI governance for risk management. This note guides chief data and analytics officers to learn from the implementation experience of their peers shared on Gartner Peer Insights. Overview Peer Lessons Learned Gartner Recommended Reading Gartner Insights Abstract ...
... applications face production drift requiring governance and monitoring for accuracy and cost control. Tech CEOs providing a converged advise, build and operate offer are better positioned to retain and grow revenue while building assets to deploy to new logos. Insights at a Glance Strategic Planning Assumption ...
... research to assess whether existing AI governance committees are equipped to navigate ethical dilemmas as quickly as AI is creating them. Insights at a Glance Strategic Planning Assumption Issue Impact More Detail Contributors Gartner Recommended Reading Gartner Insights Abstract ...
... First Takes Fresh insights on emerging trends AI leaders should see METR’s recent report of Anthropic’s doubled model-improvement rate as a signal that frontier providers are shortening AI model development cycles. Prepare for faster capability advances with agile evaluations, governance, security hardening ...
Analyst(s): Joe Antelmi | Christopher Blackburn | Ray Valdes | Deepak Seth | Philip Walsh