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: