Umair MajeedNotes from building
How I approach AI in products that already work: what I look for, what I would build first, and what eight years of building Datics AI has taught me.
Eight years in: growth as clarity
Datics AI started with AI and data science in 2018. Eight years later, the biggest lesson is that growth does not always mean becoming broader.
A prototype proves the AI can do something
A working AI prototype tells you surprisingly little about whether it can ship. Production asks a different question: can the product safely depend on it?
Five questions before approving an AI initiative
If I were approving AI work inside an established SaaS product, I would not start with the model. I would start with these five questions.
The model is rarely the hardest part
Putting AI into an established software product is hard for reasons that have little to do with the model. What eight years of production work taught me about Brownfield AI.
Latest on LinkedIn
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