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Meet Scott Cohen of BigR.io

Today we’d like to introduce you to Scott Cohen.

Scott, can you briefly walk us through your story – how you started and how you got to where you are today.
Prior to BigR.io we were commercializing data technology from MIT. During product implementations, we recognized a need for consulting firms with a focus on data movement, manipulation, and management. BigR.io was born to serve as a resource for companies looking to get their data ready for advanced analytics. A natural progression for us was adding a Machine Learning practice area which we did a couple years ago. We now are able to both help get data properly organized, or “pipelined” as it’s called, and make predictions that automate procedures (artificial intelligence driven insights that automate actions). The progression of Big Data, the advent of the cloud with endless processing power, new approaches to Deep Learning coming from academia, and open source libraries provided by the likes of Google and Facebook have all lent themselves to paving the way for what we are doing. We are finally able to help companies employ AI as a virtual crystal ball and force multiplier. The vision of AI born decades ago is coming to fruition and we are at the center of it. Very exciting times!

Great, so let’s dig a little deeper into the story – has it been an easy path overall and if not, what were the challenges you’ve had to overcome?
It is a rare company that doesn’t face struggles along their path to growth and sustainable profitability. We had years of experience managing companies and delivering superior software and data solutions for customers prior to starting BigR.io. We had no issues with the foundation building and launch of the firm. The bumps in the road were mostly about the balancing act of supply and demand. At first the supply side was fine, but now that we are only interested in the cream-of-the-crop engineers and data scientists (MIT/Caltech caliber PhDs and computer scientists) we struggle to find the right talent. Admittedly, we are very picky. And we are up against the big boys for the same talent pool. Fortunately, top notch talent attracts top notch talent and being more of a boutique firm has allowed us to compete for and successfully win over an incredible team.

The other side of the supply and demand balancing act has been lining up the right projects at the right time. For us, projects start and once we deliver they end. It takes fancy footwork to make sure the next projects line up.

Alright – so let’s talk business. Tell us about BigR.io – what should we know?
We are a Big Data and Machine Learning consulting firm. We help companies corral their data and get it ready for advanced analytics. Advanced analytics, or the application of machine learning, has applications in nearly every industry and companies large and small are starting to explore its potential impact. We help guide companies through the adoption process. We recently delivered a Deep Neural Network (Deep Learning is the latest and most sophisticated branch of Machine Learning) which is an achievement very few companies have made and fewer have achieved the accuracy levels we did. We are pushing the envelope of capabilities in the space and providing thought leadership as we go. I am proud of everyone involved in realizing this goal from the operations staff internal to BigR.io to the recruiting team that found the engineering talent to the engineers themselves and their support staff. I am saying we are an incredibly cohesive team and it is the team that I am most proud of. It is also this team that sets us apart from the pack. Everyone at BigR.io contributes to our strength.

Is there a characteristic or quality that you feel is essential to success?
Being genuine. There is a lot of fluff in the technology industry and it is tough to maintain a position where genuine intentions and capabilities are transparent.

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