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Google Cloud Strategy, AI and Machine Learning, Session Recording

Transforming Strategies with Google Cloud AI Platform (full video)

By C2C Team | March 19, 2021

C2C Deep Dives invite members of the community to bring their questions directly to presenters.

Do you have questions on how to introduce AI or automation into your current workflows? On this C2C Deep Dive, Google Cloud Product Manager of Cloud AI Platform, Satish Iyer shared an overview of Google Cloud AI Platform and some examples on opportunities on how to get started with ML by industry. Satish also addressed some community questions, including:

  • How does a business choose an appropriate use case for their pilot ML project?
  • What parameters should tech leaders and their teams think through?
  • Google Cloud's guide on AI Platform lists both GPUs and TPUs as accelerators for training models. What are the benefits of each over the other? Can I or should I be using both?
  • Google has released some no-code options (such as AppSheet) for application development to help businesses innovate faster by making technical options more accessible to non-technical employees. What options are there to make AI and ML more accessible to non-technical team members?
  • What can you tell us about initiatives your team is currently working on?
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