WEBINAR: Productive, Self-Service Data Science at AmFam 30 June 2020

Data Science Central Webinar Series Event

Productive, Self-Service Data Science at AmFam Join us for the latest DSC Webinar on June 30th, 2020 Data science is a core part of American Family Insurance’s digital transformation strategy. AmFam has more than ten million active policies and processes more than one million insurance claims per year. And the algorithms the data science team creates are key to enabling underwriters, claims adjusters, agents, and subject matter experts to spend less time on manual processes and low-level decision making and more time leveraging their experience to impact the business. To create those algorithms, data scientists need high-quality, trusted data. In the past, data engineers have had to build data sets in an ad hoc manner that was unsustainable for meeting the demands being put on the data scientist. Now, AmFam is leveraging the Alation Data Catalog to enable the data science team to self-serve on curated data: reducing redundant requests, streamlining communication, making valuable knowledge on the data searchable to all data scientists, and reducing onboarding time. In this latest Data Science Central webinar learn how AmFam is driving more productive data science on trusted, curated data with the Alation Data Catalog. Speakers: Sean Kappes, Data Science Engineer -- American Family Insurance Raja Perumal, Data Architect -- Alation Hosted by: Stephanie Glen, Editorial Director -- Data Science Central   Title:  Productive, Self-Service Data Science at AmFam Date:  Tuesday, June 30th, 2020 Time:  11:30 AM - 12:30 PM PDT   Space is limited so please register early: Reserve your Webinar seat now