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With Kasim Patel (Data Scientist, Dataiku) & James Long (VP Risk Mgmt, RenaissanceRe)
Wed, Jan 23, 2019 @ 06:30 PM   FREE   NYC Data Science Academy, 500 8th Ave, Ste 905
 
   
 
 
              

      
 
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Dataiku is pairing up with ACM & the NYC Data Science Academy this January to deep dive into the benefits of automation across industries.

Schedule:
6:30pm: Pizza + Beer & Networking
7:00pm: Improving Dataiku's Customer Experience through Automation by Kasim Patel, Data Scientist at Dataiku
7:30pm: Coding Outside of IT: Lessons in Automation From Risk Reporting by James Long, VP of Risk Management at RenaissanceRe

Abstracts:

Improving Dataiku's Customer Experience through Automation by Kasim Patel, Data Scientist at Dataiku
Automation plays a critical role in moving data through data pipelines. Typical examples include automated nightly or weekly computations of similarity matrices for recommendation systems, retraining & deployment of machine learning models in fraud or churn cases, & so on. In this talk, Kasim will present some of Dataikus specific use-cases in automation, including monitoring of platform usage amongst organizations & automated support ticket tagging, all from within the Dataiku DSS platform.

Coding Outside of IT: Lessons in Automation From Risk Reporting by James Long, VP of Risk Management at RenaissanceRe
From XKCD cartoons to HBR articles, there's a recurring trope that automation is justified exclusively by time saved from turning manual activities into automated processes. JD will challenge this assumption & show there are many other benefits to business process automation which might be of much more value than simple time savings. He will also present lessons he's learned from increasing automation in the business by improving business analyst skills, tools, & attitudes toward process automation.

Bios:

Kasim is a Data Scientist at Dataiku. He works on the strategy & growth team where he works with the company's own data to make Dataiku more data-driven. Before joining Dataiku, he worked as a Researcher in the Center for Brains, Minds & Machines (CBMM) at MIT. He holds an MS in Electrical & Computer Engineering from Boston University.

JD Long is a native Kentuckian, an agricultural economist, insurance quant, stochastic modeler, & cocktail party host. He's an avid user of Python, R, AWS & colorful metaphors. JD is currently a risk management VP at the global reinsurer Renaissance Re. He lives in Jersey City NJ with his wife, a recovering trial lawyer, & their 11 year Roblox obsessed daughter.

 
 
 
 
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