Sramana Mitra: In the previous example that you gave about stock markets and hurricanes, how do you adjust? Let’s say you have a Black Swan event, how do you put that into the model? That’s an interesting use case. Jim Rebesco: It’s really interesting. This double-clicks on that notion that the data that goes into
Jim Rebesco: Another challenge that we face is the data-centric AI movement. The data-centric AI movement says, “We can do a lot better in preparing and building analytics if we spend that marginal hour not on playing with model architecture but rather if we think, very thoughtfully, about the data we’re using to train the
This conversation deep dives into the nascent ML Ops industry. Sramana Mitra: Let’s start by introducing our audience to yourself as well as to Striveworks. Jim Rebesco: I’m one of the co-founders at Striveworks. We’re an ML Ops company that focuses on where we see analytics going in the future – a future where analytics