Increase your computer vision project’s reliability using an AI copilot | Alexander Berkovich
MAY 30, 202448 MIN
Increase your computer vision project’s reliability using an AI copilot | Alexander Berkovich
MAY 30, 202448 MIN
Description
<p>Does your business need an AI computer vision co-pilot?</p>
<p>You might need it, especially if you’re working on a high-stake AI project that requires precision or accuracy.</p>
<p>In this episode, Akridata’s AI engineer Alexander Berkovich tells us more about it 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.</p>
<p>You can learn more about good data management and deployment practices to ensure a less biased operating AI model for your computer vision project.</p>
<p><strong>Who is Alexander Berkovich?</strong></p>
<p>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.</p>
<p>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.
</p>
<p>Where to find Alexander:</p>
<ul>
<li><p><a href="http://akridata.ai">Akridata.ai</a></p>
</li>
<li><p><a href="https://www.linkedin.com/search/results/all/?fetchDeterministicClustersOnly=true&heroEntityKey=urn%3Ali%3Afsd_profile%3AACoAAAHwT88BJZQQGcxk4870njFppsuG-Cs2-4s&keywords=alexander%20berkovich&origin=RICH_QUERY_TYPEAHEAD_HISTORY&position=0&searchId=06201d51-6188-4ad8-ab94-c045d2790e51&sid=UvC&spellCorrectionEnabled=true">LinkedIn</a></p>
</li>
</ul>
<p>Time Stamps</p>
<p>(00:00:00) Trailer</p>
<p>(00:01:42) About Alexander and Akridata</p>
<p>(00:03:42) About computer vision copilots</p>
<p>(00:07:15) Use cases</p>
<p>(00:21:50) Importance of data quality when training models</p>
<p>(00:16:01) Model training and deployment, accuracy, precision and recall</p>
<p>(00:20:58) Dealing with clients’ needs</p>
<p>(00:24:44) Addressing biases in AI computer vision models</p>
<p>(00:47:44) Closing remarks </p>
<p><br></p>
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<p>Music credits: storyblocks.com</p>
<p>Logo credits: <a href="">Joshua Coleman, Unsplash</a></p>