Microsoft brings to you an Edge AI Roundtable with eminent practitioners from Innominds to discuss burning issues, key benefits, applications, and use cases relevant to 5G enabled Edge AI.
With the explosive growth of Mobile Computing and Internet of Things (IoT) applications, billions of mobile and IoT devices are being connected to the Internet, generating massive amounts of data at the network edge. As a result, the collection of massive volumes of data in cloud data centres incurs extremely high latency and network bandwidth usage.
How are you planning to unleash the potential of large quantities of data in real-time with all these challenges?
Let’s looks at Innominds 5G-enabled Edge AI solutions through the lens of use cases and Azure IoT in this Webinar, and how these difficulties may be overcome to get the greatest potential business outcomes in industries such as Healthcare, Manufacturing, Logistics, Retail, Warehouse, Agri-tech, Personalized Advertising, and Customer Service etc.
What are the key challenges of Edge AI and Azure IoT today?
AI and IoT practitioners' perspective from Innominds' experiences
Ravi Meduri is EVP at Innominds, with the global responsibility for the strategy and management of the company’s big data and analytics practice. As part of that, he provides enterprise solutions and product engineering services using open-source and proprietary tools to Innominds’ customers. Ravi is also a core contributor to the iFusionTM platform of Innominds which provides self-service analytics to enterprises and start-ups.Know More
Satya brings 20+ years of overall industry experience, which helps Innominds customers in architecting various solutions using multimedia software, sensors, AI/ML on Linux/Android platforms and in optimizing E2E use cases for performance and real time edge inferencing. Satya has extensive experience in building teams and driving results through creativity and accountability in performance-oriented cultures.Know More