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HOT TOPICS
- The Accelerator Conundrum
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- Platform as a Service
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big data
Thought Leaders in Big Data: Ulf Mattsson, CTO of Protegrity (Part 3)
Ulf Mattsson: Let’s look at another interesting use case. It’s a travel product company. It’s an airline-owned company in the US that is providing ticket distribution and financial settlements for 135 airlines and 23,000 travel agents. They have more than $65 billion per year in settlement. Their primary issue was to protect sensitive customer data
Thought Leaders in Big Data: Ulf Mattsson, CTO of Protegrity (Part 2)
Sramana Mitra: Let’s take maybe three customers from three different segments. Let’s double-click down on understanding how they’re using your technology. Ulf Mattsson: I would like to mention that we do provide services in the architecture and data flow, which is very important to be able to find the right solution in. Let’s take a
Thought Leaders in Big Data: Ulf Mattsson, CTO of Protegrity (Part 1)
Big Data platforms like Hortonworks and Cloudera use a third party player to address security issues. Protegrity offers one of those key building blocks of a secure Big Data platform. This interview delves into the security issues that customers are grappling with. Sramana Mitra: Let’s start with introducing our audience to yourself as well as
Thought Leaders in Big Data: Atanas Kiryakov, CEO of OntoText (Part 5)
Atanas Kiryakov: The purpose of maintaining an online process is to be able to classify and enrich content with more metadata. A typical media website contains 10 or 20 categories like specific regions in the world, which means there would typically be 10 to 30 web pages that are pretty much maintained by them. Their editors make decisions on
Thought Leaders in Big Data: Atanas Kiryakov, CEO of OntoText (Part 4)
Sramana Mitra: Basically, you’re addressing regulatory issues for pharmaceutical companies. Then you’re helping some of these media companies reconcile and clarify their databases and perhaps even enhance their databases, which are then accessed by their clients. That’s the other use case that you talked about, right? Atanas Kiryakov: Yes. We also help pharmaceutical companies with
Thought Leaders in Big Data: Atanas Kiryakov, CEO of OntoText (Part 3)
Atanas Kiryakov: If you want to solve this problem of massive data with any relational database, you’d probably need to hire several hundred people. Currently, we have just two employees working to maintain this data warehouse in our offices. Even at this scale, the ratio between the effort that we need to do and the effort
Thought Leaders in Big Data: Atanas Kiryakov, CEO of Ontotext (Part 2)
Sramana Mitra: Let me drill down a bit. I don’t know if you’re familiar with my writings on this subject. I’ve written extensively on this topic. What I’d like to do is take three of your customers from three different domains, and do some use cases on how you’re applying AI technology, that you built
Thought Leaders in Big Data: Atanas Kiryakov, CEO of Ontotext (Part 1)
Semantic technologies are gaining ground in the world of Big Data. This interview focuses on some applications in various parts of the industry. Sramana Mitra: Let’s start by introducing the audience to Ontotext. Tell us who you are, where you’re based, and what kind of work you are doing. Atanas Kiryakov: I founded Ontotext in the year
