Machine learning techniques cannot magically make "signal" appear out of thin air, nor can they make unstable factors more stable. Data science typically succeeds where there are complex behaviors that can be described in data and where consistent inputs lead to consistent "predictable" outcomes.

According to Forrester Consulting’s Total Economic Impact™ Study commissioned by DataRobot, organizations using the DataRobot enterprise artificial intelligence (AI) platform can realize $4M in value and an ROI of 514% with payback in less than three months.

In your organization, you’re the person who is asked to unlock data insights to make better decisions. You're at ease with analyzing both past and current conditions, but know you can go deeper. You are ready for the next step: insights that can help your company scale its predictions exponentially.

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.

Using emerging technologies to automate repetitive processes and enhance the customer experience is high on most companies’ agenda. But then how can you combine them without any one of them failing?

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).