Today, I sat with Adam Gibson, the founder of Konduit, who is building the tooling for AI development and model deployment.  Konduit is on a mission to help run AI models where developers want them to run -  whether that be in the cloud on premise, the edge, or mobile. Adam explains the new projects they are working on and the importance of the acceleration of AI adoption.  

 

 

Founder Bio:

 

Adam Gibson is the creator of Deeplearning4j and Konduit serving. He has been focused on building open source AI infrastructure complimenting production deployments since 2013. Adam is a multi book author publishing for O’Reilly Media and Impress Japan. He is based in Japan and focuses on helping companies to strengthen their production deployments.

 

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Timestamps:

 

2:03 - How Adam got started

 

6:46 - In what ways are people deploying models for use cases 

 

10:20 - The process of customizing a pre-built model 

 

15:30 -  Why the volume and quality of data impact the model

 

19:45 - What they are working on today Konduit Survey and Eclipse Deeplearning4j

 

23:37 - The challenges of deploying a model in various environments 

 

27:58 - How is the adoption of AI being used globally to create a competitive advantage

 

33:09 - The importance of creating a talent pool that can accelerate the adoption of AI

 

37:30 - If you give people the ability to automatically generate models they will have tools  without the discipline and instructions on how to use them and that is a problem

 

40:29 - How to find Adam Gibson

 

 

Resources:

 

Company website: https://www.konduit.ai/ LinkedIn: https://www.linkedin.com/company/konduitkk Facebook: https://www.facebook.com/konduitai/ Twitter: https://mobile.twitter.com/KonduitAi