In our CompassRed Data Lab, on behalf of our clients, we are always looking for a better way to “Predict” with our algorithms, including Machine Learning (ML), and Artificial Intelligence (AI). As data becomes more ubiquitous and complicated, and as the systems that manage the data become more fluid, the process and methodology become ever more important (as long as they’re flexible). (read more)
How CompassRed’s Dr. Steve Poulin and his team leveraged Unstructured Data and External Data to uncover success and save $10 million dollars for every percentage point reduction in turnover.
When 92% of the agents hired by a life insurance company were leaving the company within their first year, this large Insurance Company realized their current approach to retention was not sustainable. This was causing significant expenses for continuous recruitment and hiring costs. Using unstructured data from the applicant’s resume and US Census data about the area in which they live, a predictive analytics process was developed to identify which applicants were most like to sell the amount of insurance required to become a successful agent with the company. (read more)
Dr. Poulin joins CompassRed as Principal Data Scientist & Manager of Predictive Analytics to continue CompassRed’s recent success providing data solutions to top companies in the county.
+ A great read and presentation by Azeem Azhar on the current state of technology (with a heavy focus on Machine Learning and what it means for our near term future)
+ McKinsey's most recent Analytics Study Defines the Future of Machine Learning
+ Do you know what is powerful realtime analytics?
"Once advertising becomes totally data-driven. advertisers are going to have to build their own data agencies or partner with data agencies. That's going to be a multibillion-dollar shake-up.”
When you’re standing at a podium and looking out over the crowd while delivering a presentation - are you able to understand the thoughts of the crowd - quickly? Or looking at any crowd for that matter - can you gather insight right from the stage? And not just from a Social Media measuring or monitoring exercise - but a quick true visual of the various conversations that are taking part around a topic, person, or concept?