Coding Outside of IT: Lessons on Automation From Risk Reporting

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Dataiku is pairing up with NYC Data Science Academy to host two presentations on the improtance of automation in business practice - and how to actually achieve it.

Schedule:
6:30pm: Pizza + Beer & Networking
7:00pm: Automation: Maintaining your ML systems 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:

Automation: Maintaining your ML systems 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 and deployment of machine learning models in fraud or churn cases, and so on. In this talk, Kasim will present some of Dataiku’s specific use-cases in automation, including monitoring of platform usage amongst organizations and 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 and 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, and attitudes toward process automation

Bios:

Kasim is a Data Scientist at Dataiku. He works on the strategy and 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 and Machines (CBMM) at MIT. He holds an MS in Electrical and Computer Engineering from Boston University.

JD Long is a native Kentuckian, an agricultural economist, insurance quant, stochastic modeler, and cocktail party host. He's an avid user of Python, R, AWS and 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, and their 11 year Roblox obsessed daughter.