Guaranteed fresh: Defining a Data team’s relationship with the business

IMPORTANT: All attendees MUST register on the General Assembly site in order to attend. Link here: https://generalassemb.ly/education/data-business-best-practices-for-collaboration/new-york-city/55993

Dataiku is pairing up with General Assembly for two talks about working through one's relationship with the business side of data science.

Tentative Schedule:
7:00pm: Pizza + Beer mingling
7:30pm: Kenneth Sanford, Lead Architect at Dataiku
8:00pm: Scott Breitenother, VP Analytics at Casper

Talk Abstracts:

Guaranteed fresh: Defining a Data team’s relationship with the business by Scott Breitenother, VP of Data and Analytics, Casper:
It’s Saturday morning and the ETL broke. The data is stale. Do you call in the team? We have all been there, but does it have to be that way? Scott Breitenother, VP of Data and Analytics at Casper, talks about how to define your relationship with the business so there is less firefighting and more analysis / data science / exploration.

Quit Wasting Time: Case Studies in Production Machine Learning by Kenneth Sanford, Lead Architect at Dataiku:
During his talk, Dr Kenneth Sanford, Lead Architect at Dataiku, maker of the collaborative advanced analytics & ML platform, will identify the most common pitfalls and best practices in taking machine learning and AI models to production from years of industry experience.

Speaker bios:

Scott Breitenother is an investor and advisor who specializes in building data driven organizations. He was employee #16 at direct-to-consumer mattress startup Casper and founded the company’s industry-leading Data & Analytics team. In a former life, Scott was a Management Consultant at L.E.K. Consulting (which is probably where he developed his love of frameworks and structure). He has a BS in Business Management from Babson College and a MSc in International Management from London School of Economics. When he’s not blogging about analytics trends at https://LocallyOptimistic.com, you can find him walking around Brooklyn with his wife and daughter.

Ken is the US lead Analytics Architect for Dataiku. He is a reformed academic economist who likes to empower customers to solve problems with data. Ken’s primary passion is teaching and explaining. He likes to simplify and tell stories. Ken has spent time in academia (Middle Tennessee State University, U of Cincinnati, Boston College) consulting (Deloitte) and software development (SAS, H2O). He has a Ph.D. in Economics from the University of Kentucky in Lexington and his work on price optimization has been published in peer-reviewed journals.