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  <title>EP 136 - How human-first AI creates better algorithms - Christopher Nguyen, CEO &amp;amp; Co-Founder, Aitomatic</title>
  <description>How can industrial organizations optimize AI’s potential to build powerful operational capabilities? Leveraging their existing&amp;amp;nbsp;domain expertise is the key.&amp;amp;nbsp;Aitomatic&amp;amp;nbsp;helps companies level up their AI’s competitive edge by combining human and artificial intelligence.&amp;amp;nbsp;&amp;amp;nbsp; In this episode, we sat down with&amp;amp;nbsp;Christopher Nguyen, CEO and Co-Founder of&amp;amp;nbsp;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&amp;amp;nbsp;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.&amp;amp;nbsp; Key topics:&amp;amp;nbsp;  Why are we not seeing AI takeoff in the industrial sector as often as we see it in consumer markets?&amp;amp;nbsp; What are the limits of modern&amp;amp;nbsp;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?&amp;amp;nbsp;  </description>
  <author_name>Industrial IoT Spotlight</author_name>
  <author_url>https://www.iotone.com/podcasts</author_url>
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