Thought Leaders in Artificial Intelligence: Debjani Deb, CEO of ZineOne (Part 2)

Sramana Mitra: Let’s do a couple of other use cases. Give me a use case that is online. Let’s do an e-commerce use case.

Debjani Deb: Let’s take an e-commerce vendor. You are shopping on Overstock. You have taken the first click. You landed on the first page. You’ve taken the second click, and now you’re on the product page.

Thought Leaders in Artificial Intelligence: Debjani Deb, CEO of ZineOne (Part 1)

Debjani talks about hyper-personalization use cases based on her company’s customer DNA modeling technology.

Sramana Mitra: Let’s start by introducing our audience to you as well as to ZineOne.

Debjani Deb: I am the CEO and Co-Founder of ZineOne. We are a Valley-based company. We started our journey in 2014. The goal of that journey was to provide a solution to what the next generation needs in terms of how brands engage with them.

Thought Leaders in Artificial Intelligence: Shantanu Nigam, CEO of Jvion (Part 3)

Sramana Mitra: This 30 million patient data is all from your customer base or are you using any other kind of data?

Shantanu Nigam: A lot of this data has been owned by our customer base. We’re allowed to use it. We’ve bought some of the data from the industry. Some of it is the census kind of data. It’s a mix of a lot of sources.

Thought Leaders in Artificial Intelligence: Shantanu Nigam, CEO of Jvion (Part 2)

Shantanu Nigam: Most of our nurses are in the profession because they care about the patient. When you have a probabilistic system, by design, it will have one patient slip through it and will not be 100% accurate.

When the nurses care about the patients so much and they see that one patient slips through, their confidence in these solutions goes down. Change management becomes even more complex here. We have to get them through that mindshift.

Thought Leaders in Artificial Intelligence: Shantanu Nigam, CEO of Jvion (Part 1)

Jvion applies AI to avoidable healthcare problems in patients inside and outside hospitals. Read on for more on a very interesting application.

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

Thought Leaders in Artificial Intelligence, Sanjoe Tom Jose, CEO of Talview (Part 3)

Sramana Mitra: When you start modeling some of your customer scenarios, what kind of metrics are you discovering?

Sanjoe Tom Jose: A key metric that we built around is time-to-hire. Time is critical. Just to give you an example, some of the organizations have hundreds of thousands of people on their payroll.

Thought Leaders in Artificial Intelligence, Sanjoe Tom Jose, CEO of Talview (Part 2)

Sramana Mitra: Let’s double-click down on a number of things. Where in the workflow are you really adding value with artificial intelligence? You may have read my interview with Ashu Garg from Eightfold, which is also an HR tech AI solution. Where is your value-add and how?

Sanjoe Tom Jose: Our focus is on helping customers bring down time-to-hire in the screening and selection process. We focus on customers in two segments.

Thought Leaders in Artificial Intelligence, Sanjoe Tom Jose, CEO of Talview (Part 1)

We’ve been covering AI in the HR tech space. You may have read our Eightfold AI story. Talview is another application in the same space. Sanjoe also points to possible white spaces you can look into.

Sramana Mitra: Let’s start by having you introduce yourself and Talview to our audience.

Sanjoe Tom Jose: I’m one of the co-founders and also the CEO of Talview. Talview is headquartered in Palo Alto. We are trying to build a new category in the recruitment tech space. Talview is my third startup and my second startup in the space.