Workstations on the AI Journey – Part 1

While new AI algorithms and training methods get all the hype, most analysts agree that data scientists spend up to 80% of their time on data: exploration, acquisition, ingestion, transformation, and cleansing. This webinar will explore the best open source platforms and tools that help to work on large and varying datasets, which is the first step of a four piece series on the AI Journey.

In this first part of a series, we will talk about:

• Data cleaning
• ETL
• Data governance
• Data ingestion
• Data types
• Locality impacts on performance and security
   

Speakers:

Maciej Mazur - Product Manager at Canonical
Kyle Harper - Director of AI Strategy at Dell
Michael Boros - AI Strategy at Dell

Watch the full series of this webinar:

• Part 2 - Choosing Your Algorithm
• Part 3 - Training on the Workstation
• Part 4 - Deploying Your Model