While you have hired top-notch data scientists to build models and invested in data science tools, you still can’t get your AI projects off the ground. Research shows that the share of AI models created but never put into production is anywhere between 50 and 90%. So what can teams do to gain value from AI?

In this on-demand webinar, VP of Engineering David Kline and Stephen Pidliskey, Sr. Data Engineer, both of Beacon Street Services demonstrate how the company drives greater business value by using Snowflake and DataRobot to power machine learning models.

In this webinar we discuss 6 case studies in AI failure, and discover how you can avoid becoming yet another data science failure statistic.

The Empowered Consumer is more connected and informed than at any other time in retail history. Retailers must now start anticipating and predicting their consumer's evolving needs and habits by transforming their business decisions through embedding AI in their data-driven culture. Learn how best-in-class retailers are using AI and machine learning to identify signals and patterns in their data to become truly customer-centric.

Monitoring and managing your production models in normal times is tricky enough. With the levels of uncertainty introduced by COVID-19, this critical requirement is amplified even further. If left unchecked, this volatility will cause your models to decay, creating havoc with business-critical processes.

The right data is properly cleaned and shaped to deliver insights that can be trusted. In this webinar you will learn how the latest innovations from Paxata combined with the DataRobot AI platform can help teams react fast to changing data, achieve accuracy during uncertainty, and establish trust in your AI/ML initiatives.

The world is changing around us, and deployed machine learning models are losing their power as current behaviors in the economy shift and change rapidly in these uncertain times. Join us as we walk through the practical steps you can take to ensure that your predictions remain relevant and value-generative, even in situations where your training data does not yet reflect this new world.

As the global coronavirus pandemic is causing major disruptions to communities and the economy, many existing data science models struggle to adapt to these shifts due to a shortage of available data. Join our webinar "Using Small Datasets to Build Models" hosted by Dave Heinicke and Rajiv Shah, both Customer-Facing Data Scientists at DataRobot.