As COVID-19 forces society to prioritize telecommuting and embrace digital adoption, the telco market has been significantly upended. This new paradigm has opened up opportunities for early adopters but created massive churn risk for laggards. AI represents new opportunities for telcos to grow market share, offer new services, operate networks more efficiently, and further reduce cost per megabyte.

In this session, Ari Kaplan, AI Evangelist at DataRobot, and Mark Hookey, CEO of DemystData, will discuss how they and their clients harness external data with AI to unleash value across an organization quickly and easily.

The stories of bias in AI are everywhere: Amazon’s recruiting tool, Apple’s credit card limits, Google’s facial recognition, and dozens more. The quick solution is just to blame the algorithm and its designers. However, the only way to create fairer AI is to understand the true source of the model’s bias.

Symphony Care Network provides post-acute long-term care for people who need rehab after they’re discharged from the hospital. For Symphony, reduced readmissions are key to improving patient care and reducing healthcare costs.

Empiric Health partnered with DataRobot in March of 2020, implementing a machine learning (ML) model factory to monitor performance and increase AI engine expansion. Integration of a machine learning-informed AI engine provides benefits from both methodologies -- the ability to scale and expand quickly (ML) as well as traceability and clear, human understandable logic explanations (AI).

While you have hired top-notch data scientists to build models and invested in data science tools, your AI projects still may not be getting off the ground. Research shows that the share of AI models deemed “production worthy” but never put into production is anywhere between 50 and 90%. Do you see yourself on that spectrum? So, what are leaders and teams actually missing? What can they do to finally gain value out of AI?

The pharma, medical device, and healthcare ecosystem faces tremendous challenges right now, including the discovery of new drugs and fast track clinical trials. In addition, global operations require predictive analytics and agile supply chains for better global healthcare. Deploying Robotic Process Automation (RPA) and AI builds strategies that will sustain operations as these organizations move forward into the new normal.

DataRobot Automated Machine Learning with Visual AI enables you to work with images just like any other type of data. Behind the scenes, DataRobot automates the preparation, selection, and training of a wide variety of cutting-edge deep learning models, and recommends the best model for your use case.

AI in insurance is becoming more prominent. From preparing the data to real-time pricing, our platform can help actuaries move to data-driven pricing. Join us for Part 1 this ongoing webinar series on how to deliver end-to-end, industry-specific use cases.