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The AI in Business Podcast

Driving Infrastructure Transformations for New Generative AI Use Cases - with Steve Astorino of IBM

Jan 30, 2024
18:46
Snipd AI
Steve Astorino, Director of the Canada Lab and VP of Development in Data and AI at IBM, discusses the challenges and misconceptions in generative AI, addressing the skills gap in utilizing emerging technologies in enterprises, challenges and governance in enterprise data and models, and the intersection of data governance and AI ethics.
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Quick takeaways

  • The availability of GPUs is a major challenge in driving AI capabilities, hindering organizations from effectively leveraging AI.
  • Selecting the appropriate tools is crucial for successful AI implementation, as inadequate tool selection can lead to market mishaps.

Deep dives

The Challenge of GPU Availability for AI Infrastructure

The biggest challenge in driving AI capabilities, particularly in large language models, is the availability of GPUs needed for faster model training and execution. Many organizations struggle to obtain the necessary infrastructure, hindering their ability to leverage AI effectively. While there are efforts to accelerate accessibility, the scarcity of GPUs is likely to persist for some time. However, this challenge also presents an opportunity to ensure responsible adoption of the rapidly evolving technology.

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