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Artificial Intelligence

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

Posted on Monday, Jan 6th 2020

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.

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Roundtable Recap: November 21 – A Superb Discussion on Artificial Intelligence

Posted on Thursday, Nov 21st 2019

During this week’s roundtable, we had as our guest Arijit Sengupta, Founder and CEO at Aible. Previously, Arijit founded another AI startup, BeyondCore, which was acquired by Salesforce.com. This was an excellent discussion, and I urge you to check it out.

Ederlabs

As for the pitches, up first, we had Sharat Satyanarayana from Bangalore, India, pitch Ederlabs, an AI data privacy protection startup that is in the 1Mby1M Premium program.

Suquino

Next we had Ravi Amble from Sunnyvale, California, pitch Suquino, a telehealth startup.

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Thought Leaders in Artificial Intelligence: Florian Quarre, Chief Revenue Officer, Exponential AI (Part 3)

Posted on Wednesday, Nov 6th 2019

Florian Quarre: The final use case is automated decision making. We’ve gone through defining the data meaning and dictionaries. We’ve gone through digitizing data.

The last stage is executing on the data and start making decisions. One of the use cases that we help enable is making decisions on whether a claim should be paid or rejected.

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Thought Leaders in Artificial Intelligence: Florian Quarre, Chief Revenue Officer, Exponential AI (Part 2)

Posted on Tuesday, Nov 5th 2019

Florian Quarre: We do have affinity to healthcare, finance, and retail primarily because we try to mix together the techno-functional aspects. On the functional side, quite a few of us either have past experience in healthcare, finance, or retail.

That allows us to understand the problem. It’s easy for us to relate to the problems and bring solutions we wish we had in the past or we know are going to be relevant to them in the future.

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Thought Leaders in Artificial Intelligence: Florian Quarre, Chief Revenue Officer, Exponential AI (Part 1)

Posted on Monday, Nov 4th 2019

In this segment of TLAI, we discuss use cases in life sciences, healthcare, and retail.

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

Florian Quarre: I operate primarily in the field of healthcare technology. I have quite recently joined Exponential AI. Exponential AI is an AI platform focused on accompanying our clients through their digital transformation journey.

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Thought Leaders in Artificial Intelligence: Ashutosh Garg, CEO of Eightfold.ai (Part 6)

Posted on Sunday, Oct 27th 2019

Sramana Mitra: I still go back to the gender question though. It’s not entirely invalid. If you’re a man, unless you’re a transgender, you’re most likely not wearing women’s clothes. You may have experience with baby products, but as a man, you would not have experience with women’s clothing.

Ashutosh Garg: Do you want to base it on people’s gender or on experience?

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Thought Leaders in Artificial Intelligence: Daisy Intelligence CEO Gary Saarenvirta (Part 3)

Posted on Sunday, Oct 27th 2019

Gary Saarenvirta: We have a theory for retail. We have partial differential equations (PDEs) that govern insurance and risk industries.

We simulate with our PDEs. You simulate what is going to happen in the future if I took these actions. In the same way, our PDEs are the decisions we provide. What products do I promote? What prices do I charge? How much inventory to allocate?

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Thought Leaders in Artificial Intelligence: Daisy Intelligence CEO Gary Saarenvirta (Part 2)

Posted on Saturday, Oct 26th 2019

Sramana Mitra: It’s consumer-facing merchandising. You’re not driving the ordering of inventory?

Gary Saarenvirta: We do decide that also. We set the prices and we also do inventory forecasting and allocation. Those are the three core inputs – having the right product, right prices, and having the right inventory.

Sramana Mitra: What kind of quantitative impact do your customers get by bringing you into their workflow?

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