Learn how the airline industry is using Artificial Intelligence to market to their customers in context, with personalization.
Sramana Mitra: Let’s start by introducing our audience to yourself as well as to Boxever.
Dave O’Flanagan: I’m the CEO and Co-Founder of Boxever. Our customer intelligence cloud powers one-to-one customer experiences for some of the biggest travel brands in the world including Emirates, TigerAir, and over 20 airlines around the world. We help them create unique differentiated experiences in the digital and the real world to help them personalize for each of their individual customers. We were formed in 2011. We’re about 70 people and we’re based in Dublin, Ireland. We have offices all over the world.
Sramana Mitra: Pick some of your customers and let’s do some use cases of exactly what these experiences look like and what you do to power these experiences. >>>
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 relatively basic research in Artificial Intelligence. I had the opportunity, about 15 years ago, to move here to Silicon Valley to lead a team in robotics at NASA Research Centre where we had fantastic projects in schedulers for the Mars rovers and genetically-engineered spacecraft antennas. Of course, being in the middle of Silicon Valley, I eventually got opportunities in startups that couldn’t be turned down. >>>
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 to Nara Logics.
Jana Eggers: I’m the CEO of Nara Logics. I’m a mathematician and a computer scientist. I started in research and really enjoyed the business side of technology and science. I went into technology—most of the time, in emerging tech. That was my career. Nara and I found each other, I would say, because I was looking for an opportunity that married science and business. That was what I was excited about when I spoke with the team about the work they are doing in artificial intelligence, but also the neural science that’s behind the idea. >>>
Artificial Intelligence startups are very hot these days. Read how Dave Copps has built Brainspace from Dallas.
Sramana Mitra: Let’s start with the very beginning of your story. Where are you from? Where were you born, raised, and in what kind of background?
Dave Copps: I was born and raised in Dallas, Texas. My dad was an eye surgeon. My parents had moved down from Wisconsin. They were snow birds, as they called themselves. My mom was a community leader. My dad was very smart. He graduated from college at 17. His dad had the same background. He went to the Navy while his friends were graduating.
My mom funded many fundraising efforts in Dallas. From an early stage, I learned a lot about the importance of education, culture, and giving back. I left for college to go to Westminster College in Missouri and came back to Dallas and finished at the University of North Texas. I’ve been in Dallas ever since. I always thought I’d be off in Europe somewhere. Dallas is a great city. It’s a great place to start a business. >>>
How far should Artificial Intelligence be pushed to engage emotionally with humans?
Sramana Mitra: Let’s start by introducing our audience to yourself and IPSoft.
Jonathan Crane: I’m the Chief Commercial Officer of IPSoft. IPSoft is probably not a company many of you would know. We’ve been a privately held company for 17 years now, grown to nearly half a billion as what I would call a company deploying stealth marketing.
Sramana Mitra: The company is half a billion in revenue? Is that what you said?
Jonathan Crane: Yes, we’re not a small company. The question is how have we been able to do this. What we did is we focused early on on a unique concept of managed services. Many of the companies that have provided managed services always force their user community to come >>>
The use of intelligent agents to automate various functions is an area that I am personally very interested in. This conversation dives into the specific area of Intelligent Sales Assistants.
Sramana Mitra: Let’s start with some introduction about Conversica and yourself.
Alex Terry: I’m the CEO of Conversica. We’re a private equity and venture capital-backed technology startup here in the Bay Area. Our headquarters is in Foster City although we have our development office up in Washington. We also have a large sales team in Kansas City, Missouri. We’re a little bit spread out. We’ve built an artificial intelligence-based sales assistant that helps any organization improve their sales and also their marketing and sales alignment. I can go into more detail on what that means later on. At the high level, we have an AI-powered sales assistant that operates at the top of that sales funnel. It engages and qualifies inbound leads and helps sift out the good leads and elevate them for immediate sales attention. It can also sift out the time-waiting leads and does it in a fully automated way so that it doesn’t waste the time of the sales people. >>>
This discussion delves into the applications of Artificial Intelligence in the advertising and publishing industry.
Sramana Mitra: If one of you could get started and introduce the company as well as yourselves, that would be great.
Patrick Shea: I’m one of the co-founders of AdDaptive Intelligence. Kevin is my co-founder here. We started the company as Data Point Media back in 2010 with the goal to bring some of the tools, which were coming into the marketplace primarily aimed at advertisers and agencies, to the publisher side of the business. Our universe is really the advertising technology ecosystem.
Kevin and I both have backgrounds coming from the publisher side. That’s why we set to solve some of those initial challenges. Over the past five years, our company has evolved a great deal. We’ve placed huge focus on our technology. What initially started as creating systems to automate a lot of repetitive tasks became more and more sophisticated. They started to grow into real decision makers in their own right. That’s how we got into the artificial intelligence space. >>>
TAS Group applies Expert System technology to drive methodology and efficiency in the process of selling complex products to complex enterprises. Their roots are in sales training, but they have productized their expertise. Very interesting discussion.
Sramana Mitra: Let’s start by introducing our audience to yourself as well as to your company.
Canice Lambe: I’m the Chief Technology Officer with the TAS Group. The TAS Group is a sales effectiveness company, and we help our customers maximize revenue from key accounts, increase deal sizes, and win rates. In particular, we focus on the situation where there is a complex sales dynamics going on. Typically, the deals are large-value deals and there are lots of stakeholders on the buying side. It’s typically a complex buying process. Our software helps the sales team navigate that buying process to succeed.
Sramana Mitra: Let’s do a use case or two where you can step me through what help, specifically, your software provides and how that relates to artificial intelligence. >>>