Data Science Workstations

Key Value
image_width 350
image_height 226
banner_class grad
webinar_code 480302
primary_cta tews
primary_link sdfsd

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


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

1 Like