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Keynote: Panel: Building a Data Science Capability (Live Recording of The InfoQ Podcast)

Location: Cyril Magnin Ballroom

Duration: 5:40pm - 6:30pm

Day of week: Tuesday

Abstract

What does it take to build a data science capability? What are the new roles that are being defined in a data-driven company? What do you look for in hiring a data science leader? In this panel discussion, Charles Humble (the Chief Editor of InfoQ) and Wes Reisz (Host of The InfoQ Podcast) record a live session with the organizing committee for QCon.ai to discuss these questions. Curious how to understand what they're looking for in new hires and the leaders they promote? Come learn with us in this bookend to day 1 of QCon.ai.

Speaker: Soups Ranjan

Financial Crime Risk @RevolutApp

Soups Ranjan heads Financial Crime Risk at Revolut, the fastest growing challenger bank in Europe. He leads the team in charge of preventing financial crime on Revolut’s platform using data science and machine learning. Soups has 14 years of experience applying machine learning to domains ranging from network security to advertising and cryptocurrencies. Prior to Revolut, Soups was the director of data science and risk at Coinbase, one of the largest cryptocurrency exchanges in the world. At Coinbase, Soups built many engineering teams from the ground up including data, risk and identity. Soups is the co-founder of RiskSalon.org, a roundtable forum for risk professionals in San Francisco and Seattle to share ideas on stopping financial crime. Soups holds a PhD in ECE focused on network security from Rice University. Soups currently lives in Berkeley with his family.

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Speaker: Matei Zaharia

Assistant Professor of Computer Science @Stanford and Chief Technologist @Databricks

Matei Zaharia is an assistant professor of computer science at Stanford and Chief Technologist of Databricks, the data and ML infrastructure company based around Apache Spark. He started the Spark project while he was a PhD student at UC Berkeley. He has also contributed to other open source big data systems including Apache Mesos and Apache Hadoop. At Stanford, Matei does research on systems for machine learning as part of the DAWN project.

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Speaker: Stephanie Yee

Data Scientist @StitchFix

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Speaker: Sid Anand

Chief Data Engineer @PayPal

Sid Anand currently serves as PayPal's Chief Data Engineer, focusing on ways to realize the value of data. Prior to joining PayPal, he held several positions including Agari's Data Architect, a Technical Lead in Search @ LinkedIn, Netflix’s Cloud Data Architect, Etsy’s VP of Engineering, and several technical roles at eBay. Sid earned his BS and MS degrees in CS from Cornell University, where he focused on Distributed Systems. In his spare time, he is a maintainer/committer on Apache Airflow, a co-chair for QCon, and a frequent speaker at conferences. When not working, Sid spends time with his wife, Shalini, and their 2 kids.

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Speaker: Charles Humble

Editor-in-chief, InfoQ.com

Charles Humble took over as Editor-in-chief at InfoQ.com in March 2014, guiding the content creation including news, articles, books, video presentations and interviews. Prior to taking on the full-time role at InfoQ, Charles led our Java coverage, and was CTO for PRPi Consulting, a renumeration research firm that was acquired by PwC in July 2012. For PRPi he had overall responsibility for the development of all the custom software used within the company. He has worked in enterprise software for around 20 years as a developer, architect and development manager. In his spare time he writes music as 1/3 of London-based ambient techno group Twofish, whose debut album came out in February 2014 after 14 years of messing about with expensive toys, and spends as much time as he can with his wife and young family.

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Speaker: Wes Reisz

Software/Technical Advisor C4Media & QCon Chair, previous Architect @HPE

Wesley Reisz is the VP of Technology for Section (an Edge PaaS focused on rethinking how the edge is used in DevOps focused application development). Wes also chairs the LFEdge Landscape Working Group and the San Francisco edition of the software conference QCon.

Before joining Section, Wes served as the product owner for all of the English speaking QCon conferences world wide, was a principal architect with HP Enterprise Systems, and, for over 13 years, taught as an adjunct professor for the University of Louisville (Go Cards!).  

At HPE, Wes’ primary roles supported the US Army’s Human Resources (HRC), Recruiting, and Cadet Support Commands based at Fort Knox, Kentucky. Wes was the principal architect for US Army Cadet Command and was known for championing, building, and deploying enterprise portal and identity solutions used by Army Recruiting.

In addition to Wes’ current roles, he hosts a weekly podcast called The InfoQ Podcast. The InfoQ Podcast serves senior early adopter/early majority developers and architects with interviews from some of software’s most important thought leaders. The podcast has been downloaded over 1.5 million times and has weekly listener base of around 14k.

Find Wes Reisz at

2019 Tracks

  • Predictive Data Pipelines & Architectures

    Case Study focused look at end to end predictive pipelines from places like Salesforce, Uber, Linkedin, & Netflix

  • Sequential Data: Natural Language, Time Series, and Sound

    Techniques, practices, and approaches around time series and sequential data. Expect topics including image recognition, NLP/NLU, preprocess, & crunching of related algorithms.

  • ML in Action

    Applied track demonstrating how to train, score, and handle common machine learning use cases, including heavy concentration in the space of security and fraud