#13: Computer vision with Plainsight.ai CEO Kit Merker

Hardware

Optimizing computer vision models for various hardware specifications is crucial for enhancing performance and reducing costs. Kit Merker explains that Plainsight AI employs a hardware lab to benchmark different specifications, allowing them to scale solutions from large setups with multiple cameras to small devices like chips 1. This flexibility ensures that their solutions are accessible and cost-effective for diverse use cases.

We try to make sure that's price. We don't sell the hardware, by the way.

--- Kit Merker

They offer a hardware starter kit, including cameras and Nvidia devices, to help customers overcome initial hardware challenges and scale effectively 1.

   

AI Access

Making AI more accessible to businesses involves reducing complexity and cost barriers. Kit Merker highlights the importance of starting small with AI projects, integrating them into existing IT infrastructure, and applying DevOps principles for scalability 2. This approach helps businesses avoid the pitfalls of past AI projects that were overly complex and costly.

I believe that the companies that are going to survive the AI hype cycle we're going through right now are the ones that solve real problems.

--- Kit Merker

He notes that AI solutions must address real, adoptable problems to be successful, emphasizing the need for practical applications over mere promises 2.