| When |
Event |
Jan 18
10 am PT
1 pm ET |
ML System Design for Continuous Experimentation, by ODSC
|
Jan 19
11 am PT
2 pm ET |
What Can You Expect for ML in 2022, by DSS with Pachyderm
|
Jan 19
11 am PT
2 pm ET |
When your big data problem is IO bound, by Anaconda
|
Jan 20
10 am CET
|
Building a Data Lakehouse at DoorDash and Grammarly, by Databricks
|
Jan 20
9 am PT
12 pm ET |
Death of the Star Schema: A Reality?, by Incorta
|
Jan 20
9 am PT
12 pm ET |
Unlocking Data Value Faster with a Modern Open Data Architecture, by Dremio
|
Jan 20
10 am PT
1 pm ET |
The Story of CapitaLogix with Kuberre and Dask, by Coiled
|
Jan 20
10 am PT
1 pm ET |
Human in the Loop: Building an Ethical and Optimized Stack, by Pachyderm and Toloka
|
Jan 20
2 pm PT
5 pm ET |
Agile Data Labeling, by Watchful
|
Jan 25
9 am PT
12 pm ET |
Making the Business Case for Automated Data Governance, by ODSC
|
Jan 25
10 am PT
1 pm ET |
Building a Data Lakehouse at DoorDash and Grammarly, by Databricks
|
Jan 26
10 am PT
1 pm ET |
What Can You Expect from ML in 2022, by ODSC
|
Jan 26
10 am PT
1 pm ET |
Building Your Futureproof Stack for MLOps, by Comet and Pachyderm
|
Jan 26
11 am PT
2 pm ET |
How to Align AI & BI to Business Outcomes, by AtScale
|
Jan 27
9 am PT
12 pm ET |
Accelerating Data Science Workflows with Windows Subsystem for Linux 2 (WSL 2) and Z by HP, by ODSC
|
Feb 2
9 am PT
12 pm ET |
Overcoming Imposter Syndrome in STEM, by ODSC
|
Feb 3
8:30 am PT
11:30 am ET |
Insights Learned on Explainable AI in a Global Data Environment at Equifax, by Cognilytica
|
Feb 10
9 am PT
12 pm ET |
Prepping your CRM for AI: Why AI Initiatives Fail & How to Lay the Foundation for Data Success, by Cognilytica
|
Feb 16
11 am PT
2 pm ET |
The Latest Happenings in the Dask Universe, by Anaconda
|
Feb 22
8 am PT
11 am ET |
The Data Scientist Learning Journey: Sequential Data Topics, by SAS
|
Feb 25
9 am PT
12 pm ET |
Take an AI ML Model In a Notebook to Production, by Abacus.AI
|
