... into measurable business outcomes, with a strong emphasis on developing integrated measurement frameworks, overseeing technology implementation and governance, and advancing analytical methodologies. Through these roles, she drove the adoption of data-driven decision-making and ensured that marketing initiatives ...
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... the opportunity to equip yourself with the insights and tools needed to navigate these complexities effectively. Join this complimentary Gartner webinar as our guest Mark Peterson, Executive Vice President of Advocacy at AICPA CIMA, provides invaluable insights and planning recommendations tailored for ...
... Gartner insights show that by 2027, cross-industry collaborations on AI ethics frameworks will become regular practice, reinforcing accountability across sectors. Step 2: Build governance around current AI use cases. A steady stream of new AI solutions, such as agentic AI, challenges governance. Gartner ...
... we've identified promising use cases and value metrics, but challenges with governance, data quality, adoption, or execution make outcomes difficult to predict. C) We are highly confident because we have strong AI and data governance, clear success metrics, executive oversight, and close collaboration between ...
... wins to build AI readiness Experimenting with targeted workflows helps organizations build AI readiness while identifying gaps in data, governance, technology architecture and business processes before larger investments are made. Use these early use cases to: Build organizational confidence in AI Identify ...
... executives. Have a primary focus. Content should have a narrow subject and depth of insight versus summarizing content that can be found elsewhere. Teach readers enough to achieve their goals. Content should provide enough insight that readers feel they can take action, improve or make needed changes. Create ...
... needed to build and maintain an ontology. Proposals remain subject to review and approval by a subject matter expert, keeping a human in the loop. Governance across the ontology life cycle. New capabilities improve ontology integrity and maintainability through reusable components, domain organization ...
... increasingly important role in helping organizations realize AI value while minimizing risk. To do so, EA leaders must focus on the capabilities, governance approaches and architectural foundations needed to support AI at scale. This session explores six foundational capabilities that can help EA teams ...
... strong governance, funding transparency and clear decision rights, shared services become a coordinated system that strengthens resilience, improves cost efficiency and accelerates enterprisewide innovation rather than fragmenting it. Manage governance and performance at AI speed. Governance structures ...