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Edge Computing Expo 2023

Edge Computing Expo 2023

Visit us at Booth 194 and don't miss our expert in the panel discussion "Accelerating Transformation with Edge Computing".
April 17, 2023

AI EdgeLabs, a leading provider of edge computing solutions, is set to showcase its AI-powered edge security solution at the upcoming Edge Computing Expo NA 2023. The event will be held on May 17-18 at the Santa Clara Convention Center in California, USA.

At booth 194, visitors will have the opportunity to learn more about AI EdgeLabs' cutting-edge solution for edge security, which combines advanced AI algorithms with edge computing technology to provide unparalleled protection against cyber threats.

In addition to exhibiting at the event, Inna Ushakova, Co-Founder & CEO of Scalarr/AI EdgeLabs, will take part in a panel discussion titled "Accelerating Transformation with Edge Computing" on May’18 at 11:15 a.m. The session will explore key challenges facing industries today and how edge computing can be used to solve them. Panelists will discuss the current landscape of edge computing, the efficacy of this technology, and the use cases and demos of how edge computing is impacting industries.

The panel discussion will be moderated by Douglas Harp, Managing Partner at Momenta, and will also feature Aravinda Boyapati, Technology Director - Advanced Technologies at Johnson & Johnson, Sudha Sundaresan, Enterprise Architect Fellow at Pearson, Rabah Guedrez, PhD, CEO/CTO of Namla, and a Senior Representative from IBM.

"We are excited to showcase our AI-powered edge security solution at Edge Computing Expo NA 2023," said Inna Ushakova. "We believe that our solution has the potential to revolutionize edge security and protect organizations against emerging cyber threats. We look forward to connecting with other industry experts at the event and discussing the future of edge computing."


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Scalarr has been on a mission to be the go-to solution for cybersecurity
since 2016. Its AI-powered solutions are recognized as the most
advanced and accurate for early and effective threat detection,
protection, and remediation.
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