Generative AI – From Use Case Fatigue to Scalable Roadmaps has been saved
Podcast
Generative AI – From Use Case Fatigue to Scalable Roadmaps
Part of the AI360 video and podcast series
How do you identify and scale the right Generative AI use cases for your organization? Deloitte's Mohamad Said explores the best strategies to prioritize and implement your Generative AI roadmap to drive innovation and competitiveness in the marketplace.
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What's the best way to prioritize and scale Generative AI use cases?
Rohan Gupta explores strategies on how to overcome hurdles and start scaling Generative AI use cases with Mohamad Said, Deloitte’s TMT AI & Insights leader. In this podcast, executives learn the key to prioritizing and implementing the right solutions to drive innovation and competitiveness in today's dynamic AI landscape.
Triangulating customer value, business impact, and feasibility can help executives prioritize high value use cases.
Mohamad Said, with 17+ years of expertise in data science and AI, empowers Fortune 100 clients to extract actionable insights, manage risks, and create value through AI/ML solutions. As a leader in Deloitte Consulting's Strategy and Analytics, he pioneers transformative Enterprise AI and data platforms globally, driving innovation in MLOps, Intelligent Automation, and Generative AI.
Watch the video interview here:
The AI360 podcast series is a succinct, insightful series, delivering cutting-edge perspectives from Deloitte leaders on AI topics in just 360 seconds.
Artificial intelligence continues to change the world around us at a dizzying pace.
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