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This article discusses Forward Deployed Engineering (FDE), a strategy where engineers work closely with industry experts to create tailored solutions. It highlights principles from OpenAI's FDE approach, emphasizing high-stakes problem solving, iterative trust-building, and the importance of developing reusable products over short-term service revenue.
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The article introduces Forward Deployed Engineering (FDE), a strategy where engineers work closely with industry experts to implement technology in real-world settings. Apoorv Agrawal highlights that success in tech isn't just about having the best products; it's about making those products work effectively within the complexities of enterprise operations. FDE involves embedding engineers with domain experts to build tailored solutions, which can then be generalized for similar issues. This approach helps companies like OpenAI and Palantir create significant value, sometimes reaching into the billions.
Colin Jarvis, who leads FDE at OpenAI, emphasizes the importance of tackling high-stakes problems rather than peripheral cases. For instance, Morgan Stanley successfully integrated GPT-4 into their wealth management service, taking six months to build trust among wealth advisors before achieving 98% adoption and a threefold increase in report usage. The article stresses the need for iterative development and evaluation, ensuring that any code produced is verified for effectiveness before being handed off to internal teams.
Jarvis also advises CEOs to be clear about the purpose of their FDE teams. Companies often struggle when they drift towards short-term service revenue instead of focusing on long-term product development. He warns that this can lead to a loss of strategic vision. As an example, he mentions OpenAIβs Agent SDK, which evolved from custom projects into scalable products. The article makes clear that without a focus on creating reusable solutions, companies risk merely consulting without achieving lasting impact.
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