Brought to you by
The Non Conforming
Data Science Conference
The world of big data analytics is fast-paced, evolving rapidly, and is increasingly dominated by young companies incubated in and born out of the big data era. Keeping up means engaging quickly but staying agile and scalable, fixing one eye on the now and the other on what’s to come.
EGG2017 brings together leaders in analytics, data science, and machine learning for a day-long exploration of what it takes to transform organizations around analytics so they can move faster at scale for the long term.
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Throughout his career from data consultant to CTO to startup founder, Florian has experienced firsthand what it takes to build, run, or transform into a data-driven company.
Abstract Summary: Florian will share strategies for maintaining individual and group productivity as teams grow and skill sets diversify to ensure scalibility even as organizations become more complex.
MORNING SESSIONS - 9:15AM - 9:45AM
Walid Mehanna, Head of Data & Analytics Mercedes-Benz Cars at Daimler AG
Prior to his current position, he spent thirteen years in management consulting, supporting large corporations within the interface between business and IT.
Abstract Summary: In this talk, Walid Mehanna shares insights from the ongoing journey to build a data function at Mercedes-Benz Cars Finance and to embed it into the company's most inner workings.
Mayur is head of the Data Analytics Group in the Global Compliance Division. Prior to joining the firm, Mayur worked at Google, where he designed search algorithms and was an assistant professor of computer science at the University of Missouri.
Abstract Summary: In this talk we will describe our data-first approach to building a platform for surveillance. We will show how building a comprehensive surveillance platform requires scalability, business understanding, and smart algorithms that work on large amounts of text, graph (social networks), and time series data.
Jeremy's current focus is building data products to improve Kickstarter's user experience and refining the company's approach to the design and analysis of experiments.
Abstract Summary: This talk will describe how data science came to provide strategic product development, and what it takes for a data science team to scale up to that level of influence.
Prior to joining BCG, Andrea was COO and digital consultant of McKinsey & Company's Analytics Cloud Platform. Andrea has broad expertise in computer science, cloud computing, digital transformation strategy, and analytics solutions architecture.
Abstract Summary: During her talk, Andrea will focus on how to use an approach that is driven less by technology and more by people for long lasting impact.
Daniel is a Data Scientist on the Content Insights team at Spotify where he works on empowering Spotify's content strategy, particularly focused on new content types and understanding the effect of integrating this content into the user experience.
Abstract Summary: Daniel will be giving an overview of how the transition of music consumption to streaming has created a treasure trove of data around listening habits. He will focus on how the Content Insights team uses this data to empower Spotify's content strategy, ranging from promoting new music on playlists to valuing content and understanding its impact on user growth.
MORNING PANEL DISCUSSION-11:30AM-12:15PM
Matt Turck, Managing Director at First Mark
Matt Turck is a partner at FirstMark and invests across a broad range of early stage enterprise and consumer startups.
Abstract Summary: Matt will be moderating the morning panel discussion with Walid Mehanna (Daimler), Chris Wiggins (The NY Times), Mayur Thakur (Goldman Sachs), and Andrea Gallego (BCG) .
MORNING PANEL DISCUSSION-11:30AM-12:15PM
Chris Wiggins, Lead Analytics Architect at The New York Times
Chris Wiggins is an associate professor of applied mathematics at Columbia University and the Chief Data Scientist at the New York Times. Prior to joining the faculty at Columbia he was a Courant Instructor at NYU (1998-2001) and earned his PhD at Princeton University (1993-1998) in theoretical physics. In 2014 he was elected Fellow of the American Physical Society and is a recipient of Columbia's Avanessians Diversity Award.
As a Senior Software Engineer at Red Hat, Michael is constantly looking for ways to use the latest and greatest machine learning technology to improve and optimize business strategy.
Abstract Summary: In this talk, you’ll hear about how Red Hat is using deep learning to discover meaningful entity representations in a number of different settings.
Before Better Mortgage, he spent five years at Spotify managing teams working with machine learning and data analytics, in particular music recommendations.
Abstract Summary: Erik developed a library called “Annoy” that uses a forest of random tree to do fast approximate nearest neighbor queries in high dimensional spaces. He will cover some specific applications of vector models and how Annoy works.
AFTERNOON TRACK (Technical)- 2:00PM- 2:20PM
Chris Ryan, Data Tech Lead at The Muse
Chris holds a PhD from UC Berkeley where he used computer simulations to study statistical physics problems in biology. He is now Tech Lead at The Muse.
Abstract Summary: This talk will focus on how the Data team at The Muse built different machine learning models to meet the scaling needs of two text-based features.
As one of the early employees of Dataiku, Kurt spearheaded Dataiku's international expansion and was at the forefront of their entry into the US market in 2015 and its growth in 2016.
AFTERNOON WORKSHOPS (Business) - 1:40 PM- 2:00PM
Haftan Eckholdt, Director of Data Science at Plated
Previous research appointments in computational biology lead to start ups in fintech and hedge funds. Building diverse research teams has been a more recent focus at companies like AIG, Amazon, and Plated.
Abstract Summary: This talk will describe how data science came to provide strategic product development, and what it takes for a data science team to scale up to that level of influence.
AFTERNOON PANEL DISCUSSION-2:00PM - 2:20PM
Nicolas Caudron, Global Azure Tech Alliances – BI & Analytics Lead at Microsoft
Nicolas drives the global relationship with a portfolio of leading ISVs in the BI & Analytics space.
Abstract Summary: Join Microsoft Nicolas Caudron and Gil Isaacs to see DSS in action with HDI. We'll share a very quick intro to HDI and show DSS' deep integration with the platform.
AFTERNOON PANEL DISCUSSION-2:00PM - 2:20PM
Gil Isaacs, Certified Microsoft Cloud Solution Architect at Microsoft
Abstract Summary: Join Microsoft Nicolas Caudron and Gil Isaacs to see DSS in action with HDI. We'll share a very quick intro to HDI and show DSS' deep integration with the platform.
Gaëlle Periat currently serves as Data & BI Manager at Ubisoft Mobile, the leading producer, publisher, and distributor of interactive entertainment products.
Abstract Summary: In her talk, Gaelle shares her own experiences – both the success and the failures - of how to build and orchestrate a transverse data crew to insure the successful mission of delivering scalable and efficient data products across the (USS) Enterprise.
AFTERNOON TRACK (Technical) - 3:25PM - 3:40PM
Jerry Talton, Senior Engineer at Slack
Jerry Talton is a Senior Engineering Manager in the Search, Learning, & Intelligence group at Slack, where he leads the team using machine learning to combat information overload.
Abstract Summary: In this talk, I'll sketch the data-driven directions Slack's Search, Learning, & Intelligence team are exploring to build the business operating system of the future, and discuss the design process we use to quickly prototype and ship product features powered by machine intelligence.
Chris leads the Data Science Team within StratCo Business Analytics (BA) at Pfizer. At Pfizer, he has led a diverse set of global projects ranging from Real World Evidence to Personalized Marketing.
Abstract Summary: Chris will present Pfizer’s journey to scaling analytics and data innovation, including the organizational and cultural changes necessary to connect technologies and people around the world at scale.
Kenneth has spent time in academia, consulting, and software development. He has a Ph.D. in Economics, and his work on price optimization has been published in peer-reviewed journals.
Abstract Summary: Kenneth will moderate the afternoon panel discussion with Gaelle Periat (Ubisoft), Jeremy Salfen (Kickstarter), Chris Kakkanatt (Pfizer), and Chris Ryan (The Muse).
EGG2017 attendees will engage with real data teams from across industries to discover how they’re working to scale their operations and solve ever more complex problems. Attendees will get insight on how top companies, from innovative startups to large enterprises and Fortune 500s, approach data science and build cutting-edge data products to stay ahead of the competition.
Have Fun
Dataiku develops the unique advanced analytics software solution that enables companies to build and deliver their own data products more efficiently.