On-Demand Webinars

In this webinar, Ignacio Vilaplana, Lead Data Scientist at Euskaltel (Virgin Mobile), and Federico Castanedo, Lead Data Scientist at DataRobot, will discuss how to overcome the challenges to effectively apply AI in Telecommunications, reduce churn and increase Customer Lifetime Value (CLV) with AI, and determine which customers are valuable and worth retaining.

Marketing organizations have used data to better understand and reach customers for years. Now, AI and machine learning have the potential to greatly improve data-driven insights over traditional business intelligence. Using DataRobot’s AutoML, marketers can get more accurate insights faster and while lowering costs, resulting in increased engagement and sales. That’s the power of AI and machine learning for marketing.

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.

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.

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.