EP 136 - How human-first AI creates better algorithms - Christopher Nguyen, CEO & Co-Founder, Aitomatic

How can industrial organizations become sophisticated with AI’s potential to build powerful capabilities and deliver fast revenue? Leveraging domain expertise is the key. Instead of spending tons of cash to get more data, Aitomatic will help you level up your AI’s competitive edge.  

In this episode, we are sitting down with Christopher Nguyen, CEO and Co-Founder of Aitomatic, a knowledge-first app engine for industrial IoT that assists industrial companies in using their domain expertise to build more effective algorithms. In this talk, we discuss why only 9% of manufacturers currently use AI in their business processes and how they can overcome data availability challenges. We also discuss which use cases are best suited for a human-first AI development platform and which work well with a traditional black box training approach. 

 Key Takeaways: 

  • Why are we not seeing AI takeoff in the industrial space as often as we see it in other consumer markets? 
  • What is predictive maintenance and predictive analytics?
  • How does he effectively deal with the fundamental challenge of very small data sets?
  • What approach does he use to address the problem with algorithms? 

 

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