EPISODE · Jun 29, 2021 · 35 MIN
Cresta and Abnormal Security | Practical Innovation
from Greymatter · host Greylock Partners
From dealing with the notorious cold start problem of insufficient data to train models, to identifying the right business model for the product and the crucial need for early partnerships, applied ML companies grapple with an additional set of challenges from the beginning. Cresta CTO and co-founder Tim Shi and Abnormal Security Head of Machine Learning Jeshua Bratman join Greylock partner Saam Motamedi to discuss strategies for building applied ML companies. You can read a transcript from the interview here: https://greylock.com/greymatter/practical-innovation/ Learn more about your ad choices. Visit megaphone.fm/adchoices
What this episode covers
From dealing with the notorious cold start problem of insufficient data to train models, to identifying the right business model for the product and the crucial need for early partnerships, applied ML companies grapple with an additional set of challenges from the beginning. Cresta CTO and co-founder Tim Shi and Abnormal Security Head of Machine Learning Jeshua Bratman join Greylock partner Saam Motamedi to discuss strategies for building applied ML companies. You can read a transcript from the interview here: https://greylock.com/greymatter/practical-innovation/ Learn more about your ad choices. Visit megaphone.fm/adchoices
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Cresta and Abnormal Security | Practical Innovation
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