Path to AI

The Law of Averages to Deal with Data Science Frustration | Adrian Badi, Demant

Getting from 1 to 100 Users With Dataiku | Roberto Amador, Johnson & Johnson

How Mercedes-Benz, Vodafone, and Credit Suisse Super-Sized their Data Initiatives | A Panel

From Silos to Self-Service: Data Transformation at GE Aviation | Jon Tudor, GE Aviation

Data Science Pioneers: Conquering the Next Frontier | Romain Doutrioux, Dataiku

Online Conversion Modeling Combining CRM-Data and Online Behavior | DPG Media

Augmented Human Intelligence | Walid Mehanna, Daimler

Ethical Enterprise AI – A Guideline or Compass? | Martin Leijen, Rabobank

AI in Retail: Building a Brilliant Shoe Discovery System | Antonis Argyros, SafeSize

What’s At Stake With Your Data Projects Operationalization? | Romain Fouache, Dataiku

EGG AMS 2019 Opening Plenary | Hylke Visser, Dataiku

Synthetic Data: How Do We Manage Them? | Armando Vieira, Hazy

Are You Vulnerable to Adversarial Machine Learning? | Celeste Fralick, McAfee

What is to be Done When Everything Can be Faked | Shaun McGirr, Cox Automotive UK

The 7 Powers of Machine Learning | Lucas Bernardi, Booking

Cleaner Oceans Through AI and Data Science | Bruno Sainte-Rose, The Ocean Cleanup

How to Make a Success of Data Science | Jan Teichmann, Zoopla

The Growing Pains, Pitfalls & Future for a Data Science Team in a Hyper-Growth Company | Shaun Moate, DAZN

Generative Adversarial Networks for Finance | Alexandre Hubert, Dataiku

Cyber Risk Analytics: The Next Frontier | Paul Guthrie, Envelop

The Spirit of the City: Capturing Network-Generated Data for Better Cities | Luca Maria Aiello, Nokia Bell Labs

AI + Human Intuition = Differentiated Insights | Jeff McMillan, Morgan Stanley

From Us, To Us: An Inclusivity Architecture | Brandeis Marshall, Spelman College

Fueling Digital Transformation Within the Enterprise | Ayan Bhattacharya, Deloitte

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