Past Meetup

ODSC West 2018 - Conference Meetup (Free)

This Meetup is past

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Details

We are excited to invite you to join together with your fellow data scientists on November 1st at ODSC West as we feature one, 45 minutes talk and two 25 minutes talks presented by:

Brianna Schuyler, PhD, Data Scientist at Fenix International

Daniel Riek, Sr. Director, Artificial Intelligence CoE at Red Hat

Full Agenda:

Session 1 - Using Clean Tech to Offer Microloans in East Africa - 45 mins

Speaker:
Brianna Schuyler, Ph.D., Data Scientist at Fenix International

Bio:
Brianna leads the data science team at Fenix International. Their work spans multiple countries, including the US, Uganda, Zambia, and Ivory Coast. She and the data team at Fenix work on a wide range of problems to help provide clean, safe, and sustainable energy to people living off the grid in Sub-Saharan Africa. She has a bachelor's degree in Physics from Johns Hopkins University, a master's degree in Physics from the University of Wisconsin - Madison, and a Ph.D. in Neuroscience from the University of Wisconsin - Madison.

Abstract:
We set out to offer education loans to PAYGo solar customers, using customers’ prior repayment behavior as well as other extant data to determine eligibility for a loan. Our aim was to increase the number of days that a student would be able to attend school by smoothing out the repayment requirements of their parents, as well as demonstrating the financial feasibility of such a loan program. Testing the effects at first blush seemed like a simple A/B testing problem (ie. repayments of customers who were offered loans versus those that weren’t.) However, measuring experimental effects becomes much more complex (and interesting) when working with real people, unsupervised in the field, across dozens of languages and cultures. This talk is about the messiness of data in the real world, lessons learned, and the importance of good experimental design.

Session 2 - Open Source AI & Hybrid Cloud - 25 mins

Speaker:
Daniel Riek, Sr. Director, Artificial Intelligence CoE at Red Hat

Bio:
Technologist with 20 years of experience in the Open Source business, global product management, engineering management, and product strategy for a world leading enterprise product, substantial experience in a global leadership role at a S&P 500 company, sales and solution architect positions, IT consulting, management of software development teams, different management position in SMB, VC financed, and publicly traded companies, 23 years Linux administration and programming as a hobby.

Abstract:
AI (in the broadest sense of the buzzword) is transforming the Software Industry; fundamentally changing how we interact with Computers - and how we develop, maintain, and operate systems. Its impact will be visible in our part of the universe much sooner than for the analog world. This deeply affects both Open Source in general, as well as Red Hat, it's ecosystem and customer base. On the other hand, AI also exposes some of the challenges of proprietary infrastructure and black box services while challenging some of the traditional boundaries of Open Source.

This talk will provide a perspective on Red Hat's thinking around AI and Open Source, how AI can benefit from Open Source and vice versa.

Session 3 - The OpenDataHub in Red Hat and the Mass Open Cloud

Speaker:
Daniel Riek, Sr. Director, Artificial Intelligence CoE at Red Hat

Abstract:
The complexity of modern Data Science and AI stacks can easily overwhelm individual companies, research teams, and Open Source projects. This presentation offers a deep dive into the Open Source reference architecture for a data-centric application platform, that Red Hat operates in-house, as well as in collaboration with Boston University as part of the Mass Open Cloud. We will discuss supported workflows, individual components such as Jupyter, Spark, Kafka, S3/Ceph, Tensorflow, integration projects like KubeFlow or Acumos, practical experiences, and plans and opportunities for collaboration.