AI in Action
Ein Podcast von IBM - Dienstags
20 Folgen
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2025 Masters insights: Expert Jim “Bones” Mackay talks data and strategy
Vom: 8.4.2025 -
The women pioneering mainframes and AI
Vom: 25.3.2025 -
Redefining marketing automation and personalization with generative AI
Vom: 11.3.2025 -
How the Mayo Clinic's AI medicine app helps in stroke prevention
Vom: 25.2.2025 -
AI Realism with NE-YO and Ed Ulbrich: How AI affects artists, from IP to CGI
Vom: 7.1.2025 -
Gen AI for Good with James Hodson: Using AI to create a better tomorrow, today
Vom: 17.12.2024 -
Change Agents with Ethan Mollick: How AI agents will reinvent productivity
Vom: 3.12.2024 -
Hacking generative AI: Limiting security risk in the age of AI
Vom: 26.11.2024 -
AI Pilots to Progress: The lowdown on what makes AI projects successful
Vom: 19.11.2024 -
Leaders v. learners: It all comes down to AI accessibility with Reshma Saujani
Vom: 22.10.2024 -
Can you afford gen AI? How AI infrastructure, integration, data and other hidden costs make AI expensive
Vom: 8.10.2024 -
Not just a chatbot: Build virtual agents that are actually helpful with gen AI
Vom: 24.9.2024 -
Rewriting the future. How developers are driving what’s next with gen AI
Vom: 10.9.2024 -
Data for the win. How AI helps you win Fantasy Football with ESPN's Greeny
Vom: 27.8.2024 -
Level up your code. Modernizing code with AI code assistants
Vom: 13.8.2024 -
Person or AI agents? Virtual agents that save people from screaming representation
Vom: 30.7.2024 -
The human side of GAI and HR. See how organizations can use GAI for more genuine hiring experiences.
Vom: 16.7.2024 -
Scale your tech with AI and hybrid cloud. Learn about the unspoken tech hero behind AI done right—hybrid cloud.
Vom: 2.7.2024 -
The art of delegating to AI. Use AI agents and chatbots to handle boring process work.
Vom: 18.6.2024 -
Introducing AI in Action Podcast
Vom: 21.5.2024
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AI in Action explores what it takes to put artificial intelligence into action across a rapidly evolving business and tech landscape. Each episode focuses on responsible AI implementation and real-world business challenges, examined through a practical use case lens.