On-Demand Webinars

Join our webinar, Top 10 Keys to AI Success in 2021. Find out how business leaders across industries saved time and improved accuracy by using AI, resulting in reduced costs and increased overall ROI.

The rise of AI both reflects and accelerates the major geopolitical, social, and economic shifts happening around the world. With growing evidence that AI gives companies and organizations the ability to be more efficient, effective, and profitable, how can leaders, who may have limited understanding of AI and its benefits, make informed investment decisions about AI?

Clinicians, care managers, administrators, and executives all want to harness AI to improve clinical outcomes and drive healthcare efficiencies. Unfortunately, historical data, which is the fuel of modern AI systems, is often tainted with unintentional biases. How can we use this data without cementing these biases into new AI systems?

Insurance is an industry built on trust. Policyholders trust insurers to look after them when adverse events occur. Likewise, insurers increasingly need to trust their AI, especially With automation and AI becoming vital to insurers in this turbulent world.

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?