In this conversation, we dive into the world of AI, tech innovation, and data annotation with Michael Abramov, the CEO and Co-Founder of Keymakr and Keylabs.ai. With experience in R&D management and data collection, Michael became a software engineer with one goal in mind: to make a meaningful impact with his work. Whether he’s working in agriculture or the automotive industry, he’s on a mission to drive technological advancements and breakthroughs in creative ways…
Keymakr was founded in 2015 as a response to a need for high-quality and affordable training data for computer vision-based AI. Now, they’re developing annotation tools and data collection technology to help their partners and clients in Computer Vision create innovative models.
Keylabs is a state-of-the-art data annotation platform that uses built-in machine learning and efficient operation management to enhance data interpretation. Designed for optimal results, its advanced algorithms are practical for a diverse range of industries, including medicine, automotive, and security.
Click play to find out:
- What data annotation means in the context of Computer Vision.
- How boundaries of right and wrong are established within AI systems.
- Examples of data poisoning and its impact on the accuracy of AI tools.
You can connect with Michael by visiting his LinkedIn!
Episode also available on Apple Podcasts: http://apple.co/30PvU9C
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