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NYC Data Science Workshop – April 20th, 2018

In this 5-hour workshop (9:15am to 2:15pm) hosted by IBM, you will learn insights and best practices of operationalizing data science and machine learning to drive business value. By using the real-world examples and demonstrating the capabilities of the IBM data science platform, we will share how your peers are turning their ideas into market-ready solutions for profitable growth, operational efficiency, and fraud/risk mitigation at accelerated go-live. You will also test drive IBM SPSS Modeler and IBM Data Science Experience as part of the short, introductory hands-on sessions. This session is co-sponsored by QueBIT, the IBM premier business partner.

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 Friday April 20, 2018 – 9:15am to 2:15pm (5 hour)

 MicroTek – NYC 180 Maiden Lane, suite 1102, New York, NY 10038


Our presenters include:

Carlo Appugliese, IBM

Ben Chard, IBM

Julianna Delua, IBM

Annamaria Balazs, IBM

Dallas Crawford, QueBIT

Why register?

·      You are planning data science projects but don’t know how to get started or move beyond experimentation

·      You wish to expand your deployment by collaborating with other departments and optimizing your projects

·      Your organization has business goals that require better management of data science and machine learning

·      You are interested in learning from your peers about deploying, expanding and optimizing data science projects

What you will learn:

·      Real-world case studies and benefits by using a platform approach to data science

·      Proven architectures, capabilities and approaches that help kick-start and rapidly scale data science projects

·      Hands-on basics of using IBM SPSS Modeler and Data Science Experience

See complete agenda 



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