Where is your organization seeing traction using Deep learning or machine learning? Was there a specific task or process you optimized through AI?
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In every part of the business, they want to use ML and AI to get more relevant to the customer needs.
At HeyDoc! we've been looking at AI to help with symptom checking and pre-diagnosis to help direct patients towards better understanding their health issues and symptoms they've been struggling with. A person's health is a pretty sensitive subject so at this stage it's not completely utilized (we're not fully there yet) as a solution but more of a guide to assist them in better understanding their symptoms and to help the medical specialists by automating some of the initial screening questions.
Wearable devices are all around us feeding us with vital health and wellness data. We're working on better understanding this data via ML and thus help people better understand themselves. When we do that we would be able to pro-actively monitor patient and notify them when something is out of the ordinary, advise on potential solutions and connect them with the right medical consultant.
Mainly computer vision projects for big entities in the Middle East (corporations and government). Vehicle recognition/re-identification, face recognition, multiple object detection, and recognition, etc.
We use Deep Learning to solve a multitude of robot perception problems. Our focus is mainly in developing smart robots and we use Deep Learning for tasks from obect detection to path planning.
Churn analysis.
For insurance, Deep Learning is most useful in Risk Management, Underwriting, and Fraud detection.
Most optimized task through AI was for contract identification and remediation during SOFR transition (from LIBOR).
Several others underway as well.