Reducing Complexities in Developing & Monetizing Applications for Private 5G and Edge
Recent advances in Artificial Intelligence (AI) and Machine Learning (ML) technology, along with the “connected everything” potential of 5G are game changers in enabling enterprises, service providers, and systems integrators to monetize actionable insights from live video and audio feeds of network connected cameras. The Video analytics market size is expected to grow at CAGR of 22.7% to nearly $22 billion by 2027. Likewise, the audio analytics market will grow at CAGR of 20% and hit $1.95 billion by 2026.
Today’s private LTE, 5G and IoT networks bring significant increases in uplink performance, bandwidth, and speed, along with the ability to support edge computing, allowing wirelessly connected HD-video cameras to be placed anywhere and expanding the marketplace for media analytics. However, the challenge has been in the complexity of applying media analytics and real time communications into existing and new business systems and processes to help drive new business efficiencies.
This webinar will share how Radisys’ Engage Media Analytics solution reduces such complexities and enables computer vision and audio analytics applications on private 5G networks in a scalable and cost-effective manner.
Your speakers for this webinar
CTO Software and Cloud Solutions
With more than 30 years of extensive experience in the mobile and wireline telecommunications industry, previously serving as Technology Development Director and Chief Architect roles.
Director of Product Management for Media,
Core and Applications Business
In his current role, he is responsible for Radisys’ Engage line of products and their go-to market strategies. In addition, he is also responsible for building customer relationships in the Americas region.