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Collaborative Intelligence | Collaboration Challenges: Data Science & Data Engineering
Data science is naturally iterative. Often, it's challenging to determine all of the data needed for a project up front. As exploration progresses, more questions appear, and more data is needed. It's critical to have a point of collaboration between data science teams and data teams so that projects don't become blocked. In this webinar, we will chat about some of the biggest challenges during this process and what can be done to make it more efficient and productive.

Erin McIntosh
Erin is an Assistant VP leading the Data Transformation effort throughout Nationwide's P&C organization. Erin provides advisory services to product, pricing and claim institutions in terms of the use and practical application of data and analytics. She specializes in the understanding and use of advanced analytics and technology for the operational performance improvement needs of her business partners. During her career Erin has been involved in a wide variety of strategic advisory, general management, and technical assignments involving operating model(s), architecture, and technical development associated with business intelligence and predictive modeling and digital transformation. Erin’s prior experience includes roles as:- VP of Product Strategy & Analytic Development with Solera, a p$1B private equity company providing software to property and casualty insurance companies, in early 2016 Solera was acquired and taken private by Vista Equity Partners, Goldman Sachs and Vista Equity Selected Partners- VP of Business Intelligence & Insight of the Personal Lines business unit of The Hartford, a Fortune 500 insurance and investment company with over 16,000 employees and over $16B in annual revenue. Erin holds a BS/MS in Finance &Economics from the University of Hartford.

This event series is sponsored by Coginiti!

All sessions of this event series are open to all genders. All participants must abide by the Women in Analytics Code of Conduct.

Aug 3, 2022 12:00 PM in Eastern Time (US and Canada)

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