AI Barriers in Aviation and Defense, with Srinivas Matlapudi, AWS
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AI Barriers in Aviation and Defense, with Srinivas Matlapudi, AWS
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Cost pressure and data fragmentation look the same whether you're talking to an aviation company or a manufacturer. But the defense industrial base plays by its own rules. Srinivas Matlapudi, a solutions architect at AWS covering aviation, manufacturing, and the defense industrial base, sees both sides of that line up close. In this episode of Cleared for Takeoff, Ben Tosado talks with Srinivas about what actually separates companies moving fast on AI from the ones stuck at step one, how AWS's co-funding programs work behind the scenes, and why compliance - not appetite - is the real bottleneck for AI in defense.
Srinivas named four things that separate companies ready for AI from companies that are not: data you can actually find and query, cloud infrastructure, someone who understands both the data and the operations, and leadership genuinely behind it. Only the first two can be bought. The other two are about how the company is put together and who is willing to protect the work while it is still unproven. His line on that: if you expect a return in 90 days, do not start. It takes 12 to 18 months, and the team has to be shielded from revenue pressure the whole way.