EP 136 - How human-first AI creates better algorithms - Christopher Nguyen, CEO & Co-Founder, Aitomatic
Episode description
How can industrial organizations optimize AI’s potential to build powerful operational capabilities? Leveraging their existing domain expertise is the key. Aitomatic helps companies level up their AI’s competitive edge by combining human and artificial intelligence.
In this episode, we sat 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. We discussed why only 9% of manufacturers currently use AI in their business processes and how they can overcome data availability challenges. We also explored 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 topics:
- Why are we not seeing AI takeoff in the industrial sector as often as we see it in consumer markets?
- What are the limits of modern AI solutions in enabling predictive and prescriptive analytics use cases?
- How can you manage the fundamental challenge of small data sets?
- How can your engineers and operators embed their know-how in an AI algorithm?