Vinay Samuel: Seven years ago, I was sitting in a think tank with a group of people after we had exited. We said, “Do we do another centralized data warehousing platform? Do we do another Green Plum or Vertica?” The future we saw was a future that said, “In our journey, no customer had achieved
Sramana Mitra: Are you taking this use case and trying to sell this use case to other healthcare providers? Vinay Samuel: Absolutely. Zetaris has been in the market for about seven years. It took us five years to build our technology. In every industry, there’s the top 10 killer use cases that we accelerate. As
A very interesting innovation in data virtualization. Sramana Mitra: Let’s start by introducing our audience to yourself as well as your company. Vinay Samuel: I’m the CEO and Founder of Zetaris. We are changing the way data analysis is done in large enterprises. The traditional model is to collect data from different source systems across
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
There are over six million students enrolled in Machine Learning courses on Udemy. The most daring will try to start their own businesses.
Sanjay Vyas: One issue when we started working with Sprint has been about how to collect all this generated information to bring it into the Big Data systems. Now that we are bringing it into the systems, the question is if there is any way that we can look at certain parameters while the activity