Image-based machine learning is fast becoming an AI staple, and with its new Vision Intelligence Filters, Plainsight Technologies is staking its claim as an industry pioneer. Today, I am joined by Plainsight CEO, Kit Merker, who is here to share all the details behind his company’s latest innovation. Kit begins by explaining what Plainsight does and why this work matters in the AI realm. Then, we learn about the mechanics behind Plainsight’s Vision Intelligence Filters, the company’s ML models and data protocols concerning existing customers, the ins and outs of bringing a product like the Vision Intelligence Filters to life, and how bias manifests in image-trained models. We also discuss the most game-changing applications that Kit has been involved in, and he shares some critical advice for young leaders of AI-powered startups, plus so much more!

Key Points:

Kit’s professional background and how he ended up at Plainsight.
What Plainsight does and why this work matters.
The mechanics behind Plainsight's Vision Intelligence Filters.
How the company's ML models and data use relate to its customers
Understanding when domain expertise comes into play.
The process of planning and developing a new filter.
How bias manifests in image-trained models, and how Kit and his team are mitigating this.
The most interesting and game-changing applications that Kit has worked on.
His advice to other leaders of AI-powered startups.
Kit’s vision for the future of Plainsight Technologies.

Quotes:

“Our goal is to give customers very high accuracy on their models.” — Kit Merker

“A lot of times, traditional enterprises are looking for a solution or an app. The filter is like an app, and so customers can start really small with us, get an app that they trust the data, and then expand from there. They don't have any machine learning expertise required.” — Kit Merker

“Don't fake your demos!” — Kit Merker

Links:

Kit Merker

Kit Merker on LinkedIn

Kit Merker on X

Plainsight Technologies

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