| When |
Event |
Jun 21
11 am ET
4 pm BST |
The Data Scientist Learning Journey: Ethics in Data Science, by SAS.
|
Jun 22
10 am PT
1 pm ET
6pm BST |
New model deployment & ops capabilities using managed endpoints in Azure Machine Learning, by ODSC and AI+.
|
Jun 23
9 am PT
noon ET
5 pm BST |
Immersion Day: Machine Learning with Amazon SageMaker, by Provectus.
|
Jun 23
10 am PT
1 pm ET |
Monitoring your Production NLP Models, by Verta.
|
Jun 23
11 am PT
2 pm ET |
How to Operationalize Machine Learning at Scale, by Caserta.
|
Jun 24
9 am PT
noon ET
5 pm BST |
A Chat with the World’s First Chief Data Officer, Usama Fayyad , by CloudFactory.
|
Jun 24
11 am PT
2 pm ET
also 10 am BST (EMEA)
also 11 am SGT (APAC) |
Using External Data to Accelerate Business in a Post-Vaccinated World, by AWS Marketplace.
|
Jun 24
12 pm PT
3 pm ET |
Crossing the AI Valley of Death: Deploying and Monitoring Models in Production at Scale, by Data Science Salon.
|
Jun 25
10 am PT
1 pm ET |
Getting Started with JMP, by JMP.
|
Jun 29
10 am PT
1 pm ET |
Data Management - The Good, The Bad, and The Ugly, by Databricks.
|
Jun 29
10 am PT
1 pm ET |
Introducing Milvus v2.0, a better database to serve enterprises in more AI and big data scenarios, by ODSC and AI+.
|
Jun 29
11 am PT
2 pm ET |
Democratizing data and scaling augmented analytics, by Atscale.
|
Jun 30
10 am CEST
9 am BST |
Data Management - The Good, The Bad, and The Ugly, by Databricks.
|
Jun 30
9 am PT
noon ET
5 pm BST |
Workflow Orchestration for Modern Data Stack, by Prefect and Coiled.
|
Jun 30
11 am PT
2 pm ET |
Marketing Optimization In The New Normal, by Sigmoid.
|
Jul 1
8:30 am PT
11:30 am ET
4.5 pm BST |
Patient Safety, Laboratory Interoperability, and SHIELD, by Gregory Pappas, Associate Director for National Surveillance at the FDA and Cognilytica.
|
Jul 6
11 am ET
4 pm BST |
Robots are coming – who needs a skill boost?, by ODSC and AI+.
|
Jul 8
8 am PT
11 am ET |
How Chief Data Officers Deliver Business Value in Financial Organizations, by Tamr.
|
Jul 14
9 am PT
noon ET
5 pm BST |
Deep Learning & Software Engineering - A Retrospective and Paths Forward, by ACM SIGSOFT.
|
