Improving Epigenetic Insights at FOXO BioScience with DataRobot
Randy helps FOXO BioScience better understand life sciences that will improve predictions and products that prolong and save countless lives. For example, a gene has 860,000 data points. Randy’s team builds hundreds of prediction models, but before DataRobot they were limited in the number of models. With automation they are able to scale dramatically, which is critical for artificial intelligence in healthcare.
Epigenetics is the science behind how your genes express themselves. Using DataRobot’s leading enterprise AI platform, their data science team is able to more efficiently process immense amounts of complex data and deliver epigenetic predictions more accurately than ever before.
FOXO BioSciences is a leader of AI in Healthcare, founded on the belief that if you can understand the biology behind aging you can also understand the root cause of various diseases.
DataRobot was hugely instrumental in bringing its automated machine learning platform to bear for us. We upload our dataset, we push a button, and it handles all of the engineering for us. You know – Boom! We are confident in DataRobot for every single health factor that we are trying to predict.
DataRobot’s platform makes my work exciting, my job fun, and the results more accurate and timely – it’s almost like magic!
I think we need to take it upon ourselves in the industry to build the predictive models that understand what the needs and wants of our customers are, and go through the whole curation process, become their concierge.
At LendingTree, we recognize that data is at the core of our business strategy to deliver an exceptional, personalized customer experience. DataRobot transforms the economics of extracting value from this resource.
We know part of the science and the heavy lifting are intrinsic to the DataRobot technology. Prior to working with DataRobot, the modeling process was more hands-on. Now, the platform has optimized and automated many of the steps, while still leaving us in full control. Without DataRobot, we would need to add two full-time staffers to replace what DataRobot delivers.