Explore how CMOs are adjusting budgets, priorities and AI investments amid rising pressure to deliver growth in this Gartner webinar.
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... decisions as we enter the age of AI leadership,” says Kristin Moyer, Distinguished VP Analyst at Gartner. As AI transforms leadership, prepare for three possible futures The best leaders won’t just use AI. They’ll orchestrate these futures so their teams and organizations thrive. AI as mentor: Accelerating human ...
... Employee productivity is not enough. If you want value from AI, you need to reengineer processes, change team structures, renegotiate contracts with providers or change insource/outsource labor mixes. But these pathways to value can vary greatly in effort. You’ll learn about a practical framework, cases ...
... Contrary to popular belief, AI is unlikely to lead to widespread job loss and worker unrest. Demographic trends established 60 years ago present urgent challenges that are difficult to address. Join this complimentary Gartner executive leadership webinar as a panel of Gartner experts will explore these ...
Analyst(s): Helen Poitevin | Frank Buytendijk | Andrew White | Kate Muhl
... AI leaders face mounting AI debt as systems scale. This research provides actionable design principles to help organizations build maintainable, adaptable, and trustworthy AI, reducing hidden costs and unlocking sustainable value. Gartner Research ...
... Employee productivity is not enough. If you want value from AI, you need to reengineer processes, change team structures, renegotiate contracts with providers or change insource/outsource labor mixes. But these pathways to value can vary greatly in effort. Join this session where you’ll learn about a ...
... AI in Finance: What CFOs Need to Know Establish a clear vision for how finance AI will transform your function. By Marco Steecker AI in finance is now mainstream Generative AI (GenAI) technologies are becoming more and more accessible, accelerating AI investment plans. Gartner insights reveal that, on ...
... Designing an AI organization goes beyond teams and roles. It requires clear decision rights, fit-for-purpose structures, and empowered AI leadership. Aligning operating models and adopting Team Topologies enables scalable, responsible AI delivery and stronger business impact. Overview Introduction Analysis ...
... AI engineering builds the technical base for reliable, scalable AI. It involves defining build/buy/wait strategies, identifying design patterns for reuse, and crafting solid operationalization platforms and methods. AI’s most advanced practices, such as AI agents, are relying more than ever on robust ...