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Prioritizing Your AI Projects

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Manage episode 357374792 series 3435981
Content provided by Krista Software. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Krista Software or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://staging.podcastplayer.com/legal.

The Wall Street Journal recently published "Pressure Mounts on CIOs to Build More AI Apps," stating ChatGPT's popularity is causing business leaders to ask for more AI apps. The demand is so high chief information officers say they cannot keep up since building, training and rolling out AI models is so expensive and takes too much time.

In this episode, we talk about the challenges when deploying AI and how you can use a process oriented approach to create more models and more value without needing a data scientist for every project.

  • Challenges of implementing AI projects
  • How to deliver more AI projects faster
  • Generate faster time to value by focusing on smaller, easier-to-build models
  • Generate clean data as part of your business process workflow
  • Optimizing your AI projects for Impact
  • Using a platform approach to prioritize AI projects

More at krista.ai

  continue reading

59 episodes

Artwork
iconShare
 
Manage episode 357374792 series 3435981
Content provided by Krista Software. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Krista Software or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://staging.podcastplayer.com/legal.

The Wall Street Journal recently published "Pressure Mounts on CIOs to Build More AI Apps," stating ChatGPT's popularity is causing business leaders to ask for more AI apps. The demand is so high chief information officers say they cannot keep up since building, training and rolling out AI models is so expensive and takes too much time.

In this episode, we talk about the challenges when deploying AI and how you can use a process oriented approach to create more models and more value without needing a data scientist for every project.

  • Challenges of implementing AI projects
  • How to deliver more AI projects faster
  • Generate faster time to value by focusing on smaller, easier-to-build models
  • Generate clean data as part of your business process workflow
  • Optimizing your AI projects for Impact
  • Using a platform approach to prioritize AI projects

More at krista.ai

  continue reading

59 episodes

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