Machine Learning

Incorporating ML in Risk Models | Alla Kramskaia, Dun & Bradstreet

How to Build a Basic Website based on Real-time Predictions | Alexandre Hubert, Dataiku

Automate Decision Making to Scale Up Business | Spilios Tzouras, Ferratum

Developing ML-Driven Customer Facing Products at Square | Marsal Gavalda, Square

Building a Bank with Data | Neal Lathia, Monzo

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

Artificial Intelligence Risks and Opportunities for the Military | Captain Tim Hulme, UKMOD

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

Democratizing Automated Forecasting | Lukas Stroemsdoerfer, Mercedes-Benz

Posing as a Data Engineer: A Data Scientist’s Story | Kenny Ning, Better Mortgage

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

Content Analytics at Spotify | Daniel Levine, Spotify

Scaling Data Science for a Global Analytics Team | Chris Kakkanatt, Pfizer

The Traps of History, from 1980’s to Culture | Simon Hay, Outra

How Rabobank Boosts Sustainable AI Acceleration | Martin Leijen Architect, Rabobank

Choice Modeling – What Drives Important Human Decisions? | Jeff Parker, Qualtrics

Let’s Get Cloudy | Karen Griffith, Teradata

Training Machines to Humanize Dating | Shanshan Ding, Hinge

Conversational AI and NLP Use Cases at Uber | Franziska Bell, Uber

Architecting Scalable Self-Service Analytics Platforms | Shailesh Doshi, Pivotal Software

Users Floating in Space: A Study in Recommendations | Tyler Neylon, Unbox Research

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

The 7 Powers of Machine Learning | Lucas Bernardi, Booking

Stakeholder Management: A Data Scientist’s Perspective | Denis Fragkakis, IG Index

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