Becoming Data Driven in 10 (Easy) Steps | Kim Nilsson, Pivigo Becoming Data Driven in 10 (Easy) Steps | Kim Nilsson, Pivigo
Democratizing Automated Forecasting | Lukas Stroemsdoerfer, Mercedes-Benz Democratizing Automated Forecasting | Lukas Stroemsdoerfer, Mercedes-Benz
Artificial Intelligence Risks and Opportunities for the Military | Captain Tim Hulme, UKMOD Artificial Intelligence Risks and Opportunities for the Military | Captain Tim Hulme, UKMOD
Incorporating ML in Risk Models | Alla Kramskaia, Dun & Bradstreet Incorporating ML in Risk Models | Alla Kramskaia, Dun & Bradstreet
Stakeholder Management: A Data Scientist’s Perspective | Denis Fragkakis, IG Index Stakeholder Management: A Data Scientist’s Perspective | Denis Fragkakis, IG Index
The Traps of History, from 1980’s to Culture | Simon Hay, Outra The Traps of History, from 1980’s to Culture | Simon Hay, Outra
Developing ML-Driven Customer Facing Products at Square | Marsal Gavalda, Square Developing ML-Driven Customer Facing Products at Square | Marsal Gavalda, Square
Choice Modeling – What Drives Important Human Decisions? | Jeff Parker, Qualtrics Choice Modeling – What Drives Important Human Decisions? | Jeff Parker, Qualtrics
Scaling Data Science for a Global Analytics Team | Chris Kakkanatt, Pfizer Scaling Data Science for a Global Analytics Team | Chris Kakkanatt, Pfizer
Online Conversion Modeling Combining CRM-Data and Online Behavior | DPG Media Online Conversion Modeling Combining CRM-Data and Online Behavior | DPG Media
From Silos to Self-Service: Data Transformation at GE Aviation | Jon Tudor, GE Aviation From Silos to Self-Service: Data Transformation at GE Aviation | Jon Tudor, GE Aviation
Synthetic Data: How Do We Manage Them? | Armando Vieira, Hazy Synthetic Data: How Do We Manage Them? | Armando Vieira, Hazy
Pitfalls of Using ML for Fighting Online Abuse | David Freeman, Facebook Pitfalls of Using ML for Fighting Online Abuse | David Freeman, Facebook
Posing as a Data Engineer: A Data Scientist’s Story | Kenny Ning, Better Mortgage Posing as a Data Engineer: A Data Scientist’s Story | Kenny Ning, Better Mortgage
Convenient and Flexible ML Pipelines with Kubeflow | Mattias Arro, Subspace AI Convenient and Flexible ML Pipelines with Kubeflow | Mattias Arro, Subspace AI
Building a Data Science Team in a Fast-Paced Startup | Dejan Petelin, Gousto Building a Data Science Team in a Fast-Paced Startup | Dejan Petelin, Gousto
Training Machines to Humanize Dating | Shanshan Ding, Hinge Training Machines to Humanize Dating | Shanshan Ding, Hinge
Conversational AI and NLP Use Cases at Uber | Franziska Bell, Uber Conversational AI and NLP Use Cases at Uber | Franziska Bell, Uber
Are You Vulnerable to Adversarial Machine Learning? | Celeste Fralick, McAfee Are You Vulnerable to Adversarial Machine Learning? | Celeste Fralick, McAfee
Automate Decision Making to Scale Up Business | Spilios Tzouras, Ferratum Automate Decision Making to Scale Up Business | Spilios Tzouras, Ferratum
R Model Deployments on Scalable Serverless APIs | Andrew Conklin, Origent Data Sciences R Model Deployments on Scalable Serverless APIs | Andrew Conklin, Origent Data Sciences
Architecting Scalable Self-Service Analytics Platforms | Shailesh Doshi, Pivotal Software Architecting Scalable Self-Service Analytics Platforms | Shailesh Doshi, Pivotal Software
Content Analytics at Spotify | Daniel Levine, Spotify Content Analytics at Spotify | Daniel Levine, Spotify
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