categories
HOT TOPICS
- The Accelerator Conundrum
- The Startup Velocity Question
- Platform as a Service
- Man and Superman
- Web 3.0 = (4C + P + VS)
- The Future: End of Capitalism
- Capitalism 2.0
artificial intelligence
Thought Leaders in Artificial Intelligence: Jimi Crawford, CEO of Orbital Insights (Part 1)
Using satellite images to predict trends is Orbital’s unique offering. Read on to see how they do it, and where they are finding applications. Sramana Mitra: Let’s start by introducing our audience to you as well as Orbital. Jimi Crawford: I’m originally a PhD in Artificial Intelligence. I spent the first part of my career doing
Thought Leaders in Artificial Intelligence: Jana Eggers, CEO of Nara Logics (Part 4)
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
Thought Leaders in Artificial Intelligence: Jana Eggers, CEO of Nara Logics (Part 3)
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
Thought Leaders in Artificial Intelligence: Jana Eggers, CEO of Nara Logics (Part 2)
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
Thought Leaders in Artificial Intelligence: Jana Eggers, CEO of Nara Logics (Part 1)
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
Building an Artificial Intelligence Software Company from Dallas: Dave Copps, CEO of Brainspace (Part 7)
Sramana Mitra: I wanted to ask you about location and where you’re building your team. Where is the bulk of the organisation? Dave Copps: We’re in Dallas, Texas. Sramana Mitra: Everything is in Dallas, Texas? Dave Copps: We do have satellite offices. We have people in San Francisco, DC, New York, and London. Sramana Mitra:
Building an Artificial Intelligence Software Company from Dallas: Dave Copps, CEO of Brainspace (Part 6)
Sramana Mitra: Where are you now? Dave Copps: We are growing rapidly. In 2015, we grew 300%. I think it was our breakout year. We are already seeing that growth continue into this quarter. Sramana Mitra: What kind of range are we talking? Is this now a $10 million company or a $20 million company?
Building an Artificial Intelligence Software Company from Dallas: Dave Copps, CEO of Brainspace (Part 5)
Sramana Mitra: Can you succinctly explain what it is that you have that these large companies don’t have that enables you to win those accounts? Dave Copps: I’d say it’s two things. It’s our core technology and our user experience. We have built a technology that can learn dynamically without the use of any human intervention. Most
