Starting your AI journey? Here are 10 essentials you should know
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.