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Failure rates on AI/ML projects range anywhere from 50% all the way up to 85% according to an IDG study. Not having a plan, not getting executive buy-in, or failing to find the proper team to deploy it can all stall the process.

Fortunately, enough lessons have been learned through these failures to give companies a better game plan.

Listed in this white paper are 10 questions folks should ask when they are beginning new AI projects, such as:

  • What data is required to achieve our goal?
  • How will we remove bias?
  • How often will we fine-tune AI models?
  • And 7 more

Download your copy to see the rest.

Vendor:
CPP Associates
Posted:
Nov 18, 2021
Published:
Jul 19, 2021
Format:
PDF
Type:
White Paper

This resource is no longer available.