Upcoming webinars

  • In this 45-minute session, Jen Underwood, Founder of Impact Analytix, will review how to organize data in a machine learning-friendly format that accurately reflects the business process and outcomes. We will share basic guidelines, practical tips and additional resources to help get you started mastering the essence of predictive model data preparation.
  • How To Avoid Building Bad Models

    From selecting the right problem to solve to preventing algorithm bias, machine learning is still an art and a science. To reap the benefits of automated machine learning, Jen Underwood, Founder of Impact Analytix, will share the most common mistakes - and battle-proven practices - to help you build better models.
  • The objective of this webinar is to help educate the federal community about the realities, and real possibilities, data science can provide. Join us to discuss how agencies can start implementing machine learning for mission success.
  • Colin Priest of DataRobot will explain the importance of multichannel, multi-touch attribution to accurately measure the success of your marketing efforts – and how automated machine learning offers the shortest path to success.
  • Join us for a webinar discussion of the current state of machine learning in fraud detection and learn how you can stay one step ahead of those looking to harm your business.
  • The Fast Path to Success with AI

    In this webinar, Greg Michaelson, PhD, and Head of DataRobot Labs, will review the practical first steps an organization takes towards becoming an AI-driven enterprise and remaining competitive in the coming years.
  • In this webinar, Justin Dickerson, General Manager of Global Finance for DataRobot, and Dan Yelle, a Customer-Facing Data Scientist for DataRobot will show how automated machine learning can be used to reduce false positive rates, thereby improving the efficiency of AML transaction monitoring and reducing costs.

On-Demand Webinars

Don't have time to catch a live webinar? Don't worry! Our webinars archive lets you access and view all our old webinars whenever it's convenient for you.

Dynamic Risk-Based Pricing in Fintech

Machine learning has quickly become the tool of choice for pricing a variety of financial products. Instead of utilizing legacy rules-based matrices…

A Fireside Chat with Farmers Insurance

In this on-demand webinar, Scot Barton, Head of Business Insurance R&D, provides an overview of how Farmers Insurance created a sustainable, cost-effective,…

Crest Financial Data Science Superheroes

Data scientists Daniel and Ryan were the only resources on-hand for Crest Financial's increasing predictive analytics workload, making them feel like mere…

Analytics Strategy of a 21st Century Insurance Company

There is no doubt about the impact of predictive analytics in any insurance company - large, medium, or small. The question that…

How Nathan of Symphony Health Acquired his Data Science Superpowers

Data science has become the hottest job out there. But the challenges of developing and deploying predictive models can test the abilities…

The Keys to Enterprise-Ready Machine Learning

Machine learning is changing the way organizations across industries handle predictive analytics. But with all the hype surrounding machine learning, Artificial Intelligence,…

Automated Machine Learning in Action

Machine learning dramatically improves decision making via sophisticated predictive analytics that learns patterns from historical data. Led by Data Scientists, predictive analytics…

The Myth of the Machine Learning Black Box

Critics describe machine learning as a "black box", where data goes in and a prediction comes out, without visibility into how the…

Machine Learning in Fintech

The financial services industry has been revolutionised by Fintech companies in recent years. These Fintechs have embraced new ways of funding, underwriting,…