Sramana Mitra: I would like you to take off the HP hat and wear more of an industry thought leader hat. Give me some pointers to where you see open problems. Robert Youngjohns: I think the issue of unstructured data is one of the big problems facing the industry. It is really hard science to
Sramana Mitra: What is the state of the union on video analysis? Robert Youngjohns: It is developing very quickly, and we have very powerful tools. It started way back with something as simple as number plate recognition, which is now very established. We have a demo app where we show people where we are taking
Robert Youngjohns is the senior vice president and general manager of HP Autonomy. Simply put, Autonomy helps organizations understand the meaning of information by applying big data technologies. Robert previously worked at Microsoft and has more than 30 years of experience in the technology industry. In this interview, Robert talks about Autonomy’s role within HP
Sramana Mitra: If you look at an entrepreneur working in Houston, for example, there is a strong likelihood that that entrepreneur may have also [gotten involved] in the oil & gas industry, whereas somebody working in San Francisco may not. Lars Olrik: What is interesting to see, if you look at healthcare, for example, is
Sramana Mitra: That industry is the earliest adaptor of technology. Joanne Kinsella: Yes. It is interesting that you bring that up. From a cultural standpoint, I hear Lars talk about healthcare and oil & gas, and I think about representing technology to Wall Street for the last 10 years and how completely different those different
Sramana Mitra: As you are saying, this is an industry that is rather old school, but it is now learning to leverage technology in meaningful ways. Lars Olrick: They have to. They are driven by government and the depopulation and re-skilling of the older generation. They have to take bold steps and use technology in
Sramana Mitra: So the infrastructure is there, but the heuristics are different from domain to domain. You kind of have to set these heuristics and rules on top of that. Lars Olrik: That is correct. That is what I call the 20% to 30% rule.
Sramana Mitra: In this use case you are primarily helping to manage the equipment used in drilling. Lars Olrik: Yes. We are using vast volumes of data and we allow that data to be converted into actionable results that mitigate situations that can lead to a catastrophe. SM: That is cool. Let’s have a look