Sramana Mitra: Where does your core technology team expertise come from? Where in Italy do you have these computer scientists? Luca Scagliarini: The actual technology was built through a private effort. It was all done by us. Obviously, we are working with different universities. Sramana Mitra: When you say we, who’s we? What is the
Luca Scagliarini: With the approach we chose, which originally was thought to be something that could not be implemented in the real world, we reached a good level of understanding. I think there’s more room in terms of being able to process content that comes from different domains in a much more effective way. For
Sramana Mitra: When you go into a direct account to sell, are you going into the CIO’s office or are you going to the business departments where you see the use cases. Luca Scagliarini: The value of what we do even if it’s highly technical is perceived at the business level. The upstream group in
Luca Scagliarini: There’s another use case is risk management, which applies to not only oil and gas, butĀ also to any corporation. Companies in the oil and gas sector have a very peculiar situation. Their assets are distributed geographically in many different areas. Most of them are dangerous areas. In addition, they have thousands of customers
Sramana Mitra: We’ve actually covered several companies that do this both from a pure recommendation point of view. There are two very successful companies in content marketing that are using this use case to actually help publishers monetize as well. Luca Scagliarini: That’s one case. The difference of using semantic versus a deeper understanding of
Luca Scagliarini: With the growth of Internet and the subsequent expansion and explosion of social media, it became more and more important to have understanding, not only of what’s inside your company, but also of what’s happening outside. We expanded to industries like publishing. A few years later, we opened our first office in the
Artificial Intelligence is going through a renaissance, and we’re thrilled to cover the space. Here, Luca and I talk about the fusion of semantic and statistical methods in Machine Learning to achieve deeper intelligence with specific vertical workflows, vocabulary, and nuances. Very interesting conversation! Sramana Mitra: Let’s start with introducing our audience to yourself as