Open Source AI: Early Adopter Podcast with H2O.ai’s Sri Ambati

In this edition of the Early Adopter Research Podcast, Dan Woods speaks with Sri Ambati of H2O.ai, a data science and machine learning platform. One of the features of H2O.ai that makes it unique though is that it is based on open source. Woods and Ambati explore the implications of this, as well as a variety of other topics including:

  • 1:30 – Ambati’s definition of what H2O.ai is right now
  • 4:50 – How H2O.ai is an umbrella platform for other algorithms
  • 14:15 – The value proposition of H2O.ai
  • 21:35 – How H2O.ai is designed to augment and assist data scientists, not replace them
  • 30:00 – The task of balancing hype and hope with AI
  • 36:30 – How AI is as much a people challenge as technology one
  • 47:00 – How AI can help companies find and use data no one else has
  • 53:50 – Managing the ambitions of data scientists

Listen to the full podcast here and read a Q&A of the conversation here:

Author: Dan Woods

My mission: Find technology for Early Adopters. Follow me on Twitter @danwoodsearly and on LinkedIn www.linkedin.com/in/danwoodsearly/. I am a CTO, writer, and consultant. For tech vendors, I help explain their technology. For users, I help find, select, and deploy new solutions that have explosive business value. I love to speak and share ideas.