Episode 13: Alexander Berkovich | Increase your computer vision project’s reliability using an AI copilot
Does your business need an AI computer vision co-pilot?
Chances are, you might need it, especially if you’re working on a high-stake AI project that requires precision or accuracy.
Akridata’s AI engineer Alexander Berkovich tells us more about it in this episode as he covers the different use cases that have used Akridata’s computer vision co-pilot. To name a few are corrosion detection, autonomous vehicles, railroad inspection and industrial maintenance.
Learn more about good data management and deployment practices to ensure a less biased operating AI model for your computer vision project.
Who is Alexander Berkovich?
Alexander is a principal AI/ML engineer at Akridata, whose tools and services save time and lower costs developing vision based applications and systems. Previous positions include an R&D manager, team lead, and algorithm developer in a variety of domains, ranging from smart cities, to medical quality inspections, manufacturing and more, all in the computer vision space. His aim is to automate decision making based on a combination of visual sensors, software, hardware and the maths behind it all, to improve the quality of services, products and daily life.
In addition to focusing on the technical aspects of development, Alex advocates for the importance of grasping the business case and employing high-quality data, especially in this AI driven era.
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Music credits: storyblocks.com
Logo credits: Joshua Coleman, Unsplash
Where to find Alexander Berkovich:
AI and Digital Transformation Podcast -Increase your computer vision project’s reliability using an AI copilot with Akridata's Alexander Berkovich
