![]() So Twilio Intelligence, basically, you can think about it as the intelligence layer on top of Twilio. ![]() PAI: Tell us about Twilio Intelligence – what excites you about it? So it’s kind of where I found myself today. So just kind of through getting bitten by the entrepreneurial bug, the extension was actually fairly natural to go from working on AI for science to using scientific rigor to approach AI product development. That’s ultimately kind of what my specialty has always been. So whether it was simulations using GANs to accelerate simulation processes, or doing any sort of forecasting, everything that I was doing had machine learning at its core. When I was working at CERN and working at SLAC on ultimately particle physics applications, everything that I was doing was AI centric. Yeah, it’s actually funny in my mind, it’s not too much of a shift. PAI: What made you move from working on particle physics at places like CERN to working on AI and product development? If you missed the last session, scroll down to find a recap of Patricia and Luke’s chat or watch the full session below. He held appointments at Lawrence Berkeley National Laboratory (LBNL), SLAC, and CERN. In a past life, he was active in the academic community working at the intersection of Deep Learning and High Energy Particle Physics. He was previously CEO & Founder of Vai Technologies, which was acquired by Twilio. Furthermore, Luke angel invests in early stage startups and enjoys helping founders wherever he can. ![]() He is building Twilio Intelligence, a brand new product to help their customers act on and automate structured intelligence from their conversations. Luke de Oliveira is the Director of Machine Learning at Twilio, working at the intersection of technology and product. In the latest episode of Private AI’s ML Speaker Series, Patricia Thaine (CEO of Private AI) sits down to chat about MLOps and Machine Learning Deployment at Scale with Luke de Oliveira from Twilio.
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