Thought Leaders in Big Data: SupportLogic CEO Krishna Raj Raja (Part 2)

Sramana Mitra: How do you go to market? Do you sell directly to enterprises or other companies that you mentioned?

Krishna Raj Raja: Great question. Salesforce is a customer of ours. Salesforce Support uses Support Logic. We have not done joint go-to-market. We sell directly, but we’re forming partnerships with ISP vendors and delivery and support vendors. If you have an offshore agency that delivers support, they care about the quality of support they deliver. We cater to them as well.

Thought Leaders in Big Data: SupportLogic CEO Krishna Raj Raja (Part 1)

The field of customer service is getting revolutionized as AI and ML drive tremendous value out of data. SupportLogic works in the B-to-B tech sector and drives immense gains.

Sramana Mitra: Let’s start by introducing our audience to yourself as well as to the company.

Thought Leaders in Big Data: Zetaris CEO Vinay Samuel (Part 3)

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 that single view of all their data. Every customer we knew had data everywhere. They still had lots of data marts, data streams, and files.”

Thought Leaders in Big Data: Zetaris CEO Vinay Samuel (Part 2)

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 we find these projects, we are finding partners to take them to market. We look at a partner who’s strong in healthcare or telco and we’ll pass the IP over. We deal with all the big consulting firms. We got partnerships with SI’s [system integrators]. We identify which is the appropriate SI or consulting firm to take this use case forward.

Thought Leaders in Big Data: Zetaris CEO Vinay Samuel (Part 1)

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 the enterprise and the internet and bring it into a data warehouse or data lake.

Thought Leaders in Big Data: Jim Rebesco, CEO of Striveworks (Part 3)

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 a model needs to look like data that’s going to be run in production. In a Black Swan event, the very core answer is how quickly can I gather a new dataset from the outside world. If you say there were X number of hurricanes in the past, and you see a hurricane that looks like those. It could be true or it might not be true.

Thought Leaders in Big Data: Jim Rebesco, CEO of Striveworks (Part 2)

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 models.”

This is a trend that is mirrored in the more commercial side of analytics. What does that mean? This means that these data-enabled companies are now seeing this trend of increasing personalization. Maybe the model that works best for me may be very different for you.

Thought Leaders in Big Data: Jim Rebesco, CEO of Striveworks (Part 1)

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 would be cheap and ubiquitous; and the scaffolding that supports them disappears. We provide that as a platform to our customers.