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
machine learning
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.
Thought Leaders in Cloud Computing: David Schmaier, CEO of Vlocity (Part 7)
Sramana Mitra: I don’t buy all of Kurzweil’s points, but there are certain things that I think machines can do better than humans. For example, if you look at medicine and diagnosis, if you really have all the data and images set up, I think machines would do a better job with diagnosis. David Schmaier:
Thought Leaders in Big Data: Interview with K.R. Sanjiv, SVP Analytics and Information Management Services, Wipro (Part 6)
Sramana Mitra: And that is already exhausting the pool in Calcutta? K. R. Sanjiv: Yes, it is getting stretched. Calcutta is a place with a lot of statistical institutes.
Thought Leaders in Big Data: Interview with K.R. Sanjiv, SVP Analytics and Information Management Services, Wipro (Part 5)
Sramana Mitra: Is there anything else you would like to comment on in that domain? K. R. Sanjiv: As far as B2B companies are concerned, I think it is not so much of a fantasy. The potential they have today in terms of white spaces within their business processes is phenomenal. There are a few
Thought Leaders in Big Data: Interview with K.R. Sanjiv, SVP Analytics and Information Management Services, Wipro (Part 4)
Sramana Mitra: Who are your top three clients in the BI/big data domain, who are really pushing the envelope on cutting-edge technology? K. R. Sanjiv: I will not be able to name customers, but let me throw some color on this. Historically, over the last 10 years, the big consumers of analytics have been retail
Thought Leaders in Big Data: Interview with K.R. Sanjiv, SVP Analytics and Information Management Services, Wipro (Part 3)
Sramana Mitra: Let’s double down on how a data warehouse becomes an information warehouse, given what you are seeing. K. R. Sanjiv: Data itself is of limited value. Today the focus of an organization is to assimilate all the data and have data that is reliable, comprehensive, and consistent so that it can be used
Thought Leaders in Big Data: Interview with K.R. Sanjiv, SVP Analytics and Information Management Services, Wipro (Part 2)
Sramana Mitra: It is definitely not a volume game. This kind of volume is well within the capacity of data analysis. This has been around for a while. So why do you categorize it as a big data problem, and what is it that you are specifically doing in those circumstances?
Thought Leaders in Big Data: Interview with K.R. Sanjiv, SVP Analytics and Information Management Services, Wipro (Part 1)
K. R. Sanjiv is the senior vice president of analytics and information management services at Wipro, a global IT, consulting and outsourcing company that provides services to companies by leveraging their data. In this interview Sanjiv defines the term big data and shares his opinion on what the future of big data will look like.
