How to make AI product implementation at large company successful?
As a product person building AI solutions for the last 10 years, I strongly believe a great product implementation of AI beats having the best models.
You can have the best of models, finetuning, and AI engineers but without a great product problem solving, the results don't come.
So here I am asking
What have been your key learning while building and productising AI solution? How to make it successful?
For example, for me, starting with the end-product in mind and working backwards worked best. I start with how end-product would look like, success metric etc and then start building. Have been able to make 5-6 successful transformations using this.
-Ayush
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IXORD
Honestly, it's like a big task, and AI is used to solve this task only by simultaneously structuring the solution process itself. Only I am for everyone to understand how it is done rather than hear: "AI will do everything, you don't have to think about it"
@ixord Exactly my point. Currently, most people make AI like a magic wand that will solve every problem. However, I believe AI will help us solve business problems faster and without manual intervention but a lot of solutioning and efforts will be required to make it success.