AI Isn’t Magic: A Podcast with MapR’s Ellen Friedman and Ted Dunning

We’re back with another edition of the Early Adopter Research Podcast. In this episode, Dan woods speaks with Ellen Friedman, a principal technologist and Ted Dunning, Chief Application Architect at MapR Technologies. Dunning and Friedman have recently completed books, and the conversation covers their insights on when it makes sense to create your own AI application and when it’s preferable to use products offered by external vendors. The discussion also covers:

  • 2:30 – The challenges of integrating AI
  • 7:00 – The importance of prioritizing data engineering
  • 8:30 – The value of AI and analytics in production
  • 13:30 – How to use multiple AI models to get the best results
  • 26:30 – Using decoy models for better application development
  • 32:00 – Whether it’s better to focus on improving your data supply chain or building your own AI model
  • 37:15 – How to know if you have a complicated or easy problem and whether AI can solve it

Listen 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.