Explore the best open source platforms and tools that help to work on large and varying datasets
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 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 session 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 1 - Workstations on the AI journey
- Part 2 - Choosing Your Algorithm
- Part 3 - Training on the Workstation
- Part 4 - Deploying Your Model