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
sri gopalsamy
Thought Leaders in Big Data: Pubmatic CTO Anand Das and VP Engineering Sri Gopalsamy (Part 6)
Sri Gopalsamy: Forester has a research report based on the survey of over 110 publishers. They came back and said that this is one of their biggest problems in terms of aggregating multiple streams of data to get a holistic view. In fact, 56% of publishers agree that this is a big challenge for them.
Thought Leaders in Big Data: PubMatic CTO Anand Das and VP Engineering Sri Gopalsamy (Part 5)
Sramana Mitra: Go to the 30,000-foot level in your industry and point to some open problems that you see ought to be solved that you see are not being solved in consideration of new startups. Anand Das: Let me just give you a brief overview of the kind of problems that are in the industry.
Thought Leaders in Big Data: PubMatic CTO Anand Das and VP Engineering Sri Gopalsamy (Part 4)
Sramana Mitra: I want to ask you a specific question about the crossover between media and e-commerce. Let’s take the example of Mail Online for instance. This is a very big lifestyle publisher. Are you familiar with them? Sri Gopalsamy: Yes. Sramana Mitra: This is a big lifestyle site. They have hundreds of millions of
Thought Leaders in Big Data: PubMatic CTO Anand Das and VP Engineering Sri Gopalsamy (Part 3)
Sri Gopalsamy: We have done a really good job over the years to build this platform where we respond to bids in real time within few milliseconds. We provide insights to our publishers within a minute. For all the impressions that are going through our platform, how much of them actually get converted? What’s their average
Thought Leaders in Big Data: PubMatic CTO Anand Das and VP Engineering Sri Gopalsamy (Part 2)
Sramana Mitra: Let’s double-click down on the PubMatic context. Let’s talk about what you’re trying to deliver for your customers and what does Big Data bring to that process. Let’s get pretty granular and technical. Our audience is very sophisticated so you can get as interesting as possible in a nerdy way. Sri Gopalsamy: I’ll take
Thought Leaders in Big Data: PubMatic CTO Anand Das and VP Engineering Sri Gopalsamy (Part 1)
Publishers are using Big Data and machine learning to optimize what ads to put in front of their audience. This discussion delves into the depths of that process, and also explores open problems in that world. Sramana Mitra: Let’s start by introducing you to the audience. Tell us about yourself as well as about PubMatic.
