Home About Events Dynamic Talks Quality 4.0: reimagining AI and quality control automation for smart manufacturing

Join our webinar to learn how AI is transforming QA and bringing new levels of automation and efficiency. Discover how leading companies are reimagining QA

About this event

Unplanned downtime and product defects are expensive. It costs industrial manufacturers approximately $50 billion annually, and for industries across the board, it is one of the largest causes of lost productivity and revenue. The old way of doing business – a reactive process where manufacturers make repairs as equipment fails – does not work.

To overcome these challenges, leading manufacturers are using AI-powered Industry 4.0 tools for anomaly detection, predictive maintenance and visual inspection to optimize production, prevent downtime and save maintenance costs. How are they doing it?

Join AWS and Grid Dynamics on November 1st to learn:

  • How and why leading manufacturing companies are leveraging quality control automation, and the results they have achieved.
  • The latest quality control automation capabilities offered by AWS.
  • How native AWS capabilities can be extended on a smart manufacturing platform for best-in-class quality control automation.

Speakers

Quality 4.0: reimagining AI and quality control automation for smart manufacturing

Ilya Katsov

VP of Technology at Grid Dynamics

Quality 4.0: reimagining AI and quality control automation for smart manufacturing
Quality 4.0: reimagining AI and quality control automation for smart manufacturing

Ajit Kolhe

WW Partner Practice Lead – Manufacturing/Automotive at Amazon Web Services

Quality 4.0: reimagining AI and quality control automation for smart manufacturing
Quality 4.0: reimagining AI and quality control automation for smart manufacturing

Abdijabar Abdi

Lead Automation Engineer at Eaton

Quality 4.0: reimagining AI and quality control automation for smart manufacturing

Ilya Katsov

VP of Technology at Grid Dynamics

Ilya joined Grid Dynamics in 2009, and since then has been leading engagements with a number of major retail and technology companies, focusing primarily on Big Data, Machine Learning, and Economic Modeling. He is currently managing the Industrial AI consulting practice that helps clients to become successful AI adopters and deliver innovate AI solutions. Prior to joining Grid Dynamics, Ilya worked at Intel Research on emerging wireless communication technologies. He is the author of several scientific articles and international patents, and also authored a book, “Introduction to Algorithmic Marketing: Artificial Intelligence for Marketing Operations” (2017).

Ajit Kolhe

WW Partner Practice Lead – Manufacturing/Automotive at Amazon Web Services

Dynamic transformation leader with twenty-five years of experience successfully leading client’s digital transformation agenda and running large high-performance practice. Recognized innovator and leader in the executive C-suite with the ability to transform vision into bottom-line results.

Abdijabar Abdi

Lead Automation Engineer at Eaton

Experienced Electrical Engineer with a demonstrated history of working in the industrial automation industry such as working with Tesla (Gigafactory 1) helping commission Model 3 Module lines. I have also served the major US auto manufactures during my time with Rockwell Automation.

Topics include

Advanced data quality control

and more…

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