I like nurturing technologies for the next generation.
The challenge of changing the industry. Technologists and business development managers like Arash Behziz identify industry trends, and determine what products will work well for TE customers. They are looking to develop the next generation of system architecture.
What drives you as a technologist?
New technology. I want to find products that are on the leading edge. I’m okay with wading through innovation to find the one that will be revolutionary. I like nurturing technologies for the next generation. I think I’m good at discerning if an innovation will matter or not.
What trends do you see influencing the future of the industry?
It will be interesting to see how hyperscale data centers handle the changing nature of data. Right now data is generated and used by you and me. We stream movies, upload pictures and videos to the cloud. But in the next couple years most data will be generated by things, machines, and our activities.
Can you elaborate on that?
Think about wearable technology like the Apple Watch, Google Glass, Kinect, the FitBit, and other sensor devices. These send data to the cloud to be mined, analyzed, and essentially sold back to us in the form of things like focused ads. The question is now that information is absorbed differently, how do we create systems to handle all of the data?
Are you surprised how quickly this has all caught on with the public?
Yes, a few years ago most people thought the glass concept was ridiculous, same with the watches. But then high end designers and watchmakers came out with bracelets that are sleek and cool. There are implications beyond convenience and fashion. For example biometric devices that monitor, record, and track glucose levels, then report data to your doctor.
Will society eventually take a step back after considering privacy?
I hope so. Much of this data is voluntarily and freely shared by the user with little or no regard to how it is used. I view all of it with a heavy dose of both concern and excitement.
Do data and analytics have the potential to affect everything we do?
Consider beer. If you put a scale under the keg, and connect it to the web, it relays information to the bar, and tells the staff how many pours are available based on the weight, and they know exactly when to change it. Not only is it more efficient, a distributor can buy back the analyzed data that tells them which beers are popular in the city.