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Why cross-functional collaboration is core to building user-centric AI products
Enterprises are spending millions in the race to build cutting-edge AI. But what does it take to create AI that truly meets customer needs?
While the number one thing to do would be to bring different teams together and leverage the “village,” Rocca pointed out that organizations should keep a hard stance on prioritizing what’s important for customers while continuing to learn and iterate on their AI products. They said folks in different roles should work together as a team and triangulate feedback from all possible sources, including A/B testing and telemetry from tools, to understand the users’ context and problem before jumping to development and deployment. “Engaging roles early on will yield surprising insights, as opposed to if you just go about trying to build a business case first, or proof of technology first,” Osmani noted.
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