Richard discusses predictive AI applications in FinTech, including the state of the robo advisor industry. Sramana Mitra: Let’s start by introducing our audience to yourself as well as to Bristol Gates.
Wolf Ruzicka: The fourth bucket is anything related to mobile applications. Please don’t think about Flappy Birds type of application. Think of the enterprise-level applications. If one of the startups gets listed on NASDAQ, NASDAQ will try to upsell that newly-listed company to products that we have developed for NASDAQ around mobile.
This feature from Forbes brings out a list of 50 most promising AI startups in America. AI received a record $7.4 billion in funding in just the second quarter of 2019. For this week’s posts, click on the paragraph links.
Sramana Mitra: Can you talk to me a little bit about the way your company is organized? You do generic software development, but it looks like you’re doing specific stuff in AI-related technologies. What percentage of your company is focused on AI-related technologies? Wolf Ruzicka: Before we go there, we have one more example that
Wolf Ruzicka: We found some very interesting concepts that only the power of big data can bring, for instance, the causality of customer complaints. When a customer complains, you would assume that it is because of maybe heavy traffic or badly-maintained infrastructure. It turned out to be the marital status of the driver. That doesn’t
Sramana Mitra: When was this launched? John Jonas: 2009. Sramana Mitra: How did the revenue ramp up on that one? John Jonas: It was slow. I was teaching how to hire people in the Philippines. We had made $250 that month teaching it. He said, “I think this job board can make $10,000 a month.”
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Eastbanc Technologies is a services company that has spun off a number of product companies based on their services business. More recently, their focus has been on AI and Big Data. Sramana Mitra: If you would please set some context about Eastbanc Technologies to start off this interview, that would be ideal.