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369th 1Mby1M Entrepreneurship Podcast with Jana Eggers, Nara Logics

Posted on Monday, Jun 7th

Jana Eggers is CEO of Nara Logics. Most of the Artificial Intelligence recommendation engines are based on clustering algorithms and a limited number of parameters. Nara Logics is pushing the envelope on releasing both constraints, and going to a more granular level of personalization.

Thought Leaders in Artificial Intelligence: Jana Eggers, CEO of Nara Logics (Part 4)

Posted on Thursday, Feb 11th

Sramana Mitra: We’ve talked in the context of retail. Is there any other finding in other verticals? Jana Eggers: I mentioned healthcare before. A quick example that everyone understands is doctor and patient matching. When someone who just moved has a specific condition that he/she wants a right doctor for, we help them by giving suggestions on

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Thought Leaders in Artificial Intelligence: Jana Eggers, CEO of Nara Logics (Part 3)

Posted on Wednesday, Feb 10th

Sramana Mitra: Can you do one more level of double-clicking? You were distinguishing between clustering algorithms versus one-on-one recommendation and treating each individual as an individual. Can you explain how that works technically? Jana Eggers: We take all of the product that you have. Let’s take retail. You may have groups of products and offerings. All of those

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Thought Leaders in Artificial Intelligence: Jana Eggers, CEO of Nara Logics (Part 2)

Posted on Tuesday, Feb 9th

Sramana Mitra: Where is the bulk of your business coming from? Is there a sector that dominates in your success? Jana Eggers: It’s the large enterprises. We’re talking about the Global 1000. Sramana Mitra: What industry sector? I’m trying to understand which use case is really dominating. Jana Eggers: We aren’t saying that this is

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Thought Leaders in Artificial Intelligence: Jana Eggers, CEO of Nara Logics (Part 1)

Posted on Monday, Feb 8th

Most of the Artificial Intelligence recommendation engines are based on clustering algorithms and a limited number of parameters. Nara Logics is pushing the envelope on releasing both constraints, and going to a more granular level of personalisation. Read on to learn more. Sramana Mitra: Let’s start by introducing our audience to yourself as well as

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