March 25, 2021,
3:00 PM
UTC
11:00 - 11:10 ET
10 min intro
Welcome Reception
The Data Points Virtual Summit features 12 interactive online sessions on Data Science, Analytics & Enterprise AI trends and best practices with a focus on the Media, Entertainment & Technology sectors. Join other data science leaders as they engage and learn from each other.
Speakers
- Sidney Madison PrescottGlobal Head of Intelligent Automation at Spotify
- Taeyoung ChoiData Scientist at Condé Nast
- Celia EddyData Scientist at The New York Times
- David PressData Scientist at DoorDash
- Jacob ClaussenManager, Marketing Analytics at Zynga
- Danny MonistereSVP of Policy and Guidelines at Nielsen
- Amit BhattacharyyaHead of Data Science at Vox Media
- Das DasguptaChief Data Officer at Saatchi & Saatchi
- Carlos ArizaChief Data Scientist at CAA (Creative Artists Agency)
- Sergei IzrailevHead of Analytics and Data Science at Yieldmo
- Jake JianLead Data Scientist at Grid Dynamics
- Vasilii KovalchenkoData Scientist at Grid Dynamics
- Aleksey AleevStaff Data Scientist at Grid Dynamics
Agenda
- 11:10 - 11:35 ET25 min sessionA Plug-and-play Personalization Platform Using Reinforcement Learning
- 11:35 - 11:40 ET5 min break
- 11:40 - 12:05 ET25 min sessionRecipe Recommendations at The New York Times
- 12:05 - 12:10 ET5 min break
- 12:10 - 12:35 ET25 min sessionBalancing the fraud equation: How DoorDash optimizes fraud model thresholds and actions
- 12:35 - 12:40 ET5 min break
- 12:40 - 1:05 ET25 min sessionRatings Transformation: Integrating Big Data
- 1:05 - 1:20 ET15 min break
- 1:20 - 1:45 ET25 min sessionThere are no shortcuts to any place worth going: The journey towards Enterprise AI
- 1:45 - 1:50 ET5 min break
- 1:50 - 2:15 ET25 min sessionA multi-faceted approach to optimizing digital advertising spend towards desired outcomes using attention measurement and machine learning
- 2:15 - 2:20 ET5 min break
- 2:20 - 2:45 ET25 min sessionThe Ultimate Digital Transformation: Citizen RPA Developers & Citizen Data Scientists
- 2:45 - 2:50 ET5 min break
- 2:50 - 3:15 ET25 min sessionSolving Customer Churn: A Prescriptive Modelling Approach
- 3:15 - 3:30 ET15 min break
- 3:30 - 3:55 ET25 min sessionConsumer Segmentation, Targeting, and Positioning using Unsupervised Clustering and Distance Algorithms in Advertising
- 3:55 - 4:00 ET5 min break
- 4:00 - 4:25 ET25 min sessioniOS14 or: How I Learned to Stop Worrying and Love the SKAdNetwork
- 4:25 - 4:30 ET5 min break
- 4:30 - 4:55 ET25 min sessionA nonlinear embedder framework with interpretable features for content personalization
- 4:55 - 5:00 ET5 min break
- 5:00 - 5:25 ET25 min sessionContent-Driven Advertising using First Party Data
- 5:25 - 5:30 ET5 min outro
About Data Points:
Data Points is an event series focusing on Data Science, Artificial Intelligence, and Machine Learning in enterprise applications. Join other senior practitioners and executives for immersive talks on use cases, trends, and the technical infrastructure powering the most sophisticated data practices. Learn from leaders in data who have implemented data practices at scale in a series of interactive presentations.
Participants
Topics
- Customer analytics and personalization
- B2C and B2B price and promotion optimization
- Marketing spend optimization and attribution
- Risk scoring and fraud detection
- AI/ML for IT Operations
- Data Science platforms and MLOps
- Deep learning and reinforcement learning for enterprise applications
- Computer vision for digital experience platforms and manufacturing
- Data platforms for self-service analytics