In case you missed it earlier this summer, Meraki hosted an engaging tech talk on Edge AI and computer vision in practice.
At the online event, we shared how you can learn from computer vision engineers that have spent many years working hands-on with machine learning – and how solutions are built and our experiences getting there.
This great event featured content aimed at software architects, ML professionals and anyone interested in learning more about how cutting edge AI solutions can be deployed to cameras.
Be sure to check out the individual sessions below, you won’t want to miss them!
Using AI to train AI
Learn how our ecosystem partner Cogniac is leveraging AI to train AI, to build an application with a small dataset. Their innovative, low-code visual intelligence platform enables users to build their own AI models quickly and confidently. Presented by Y. Ming Tsang, Director of AI, Cogniac
Watch the video here
Data set and model training
Learn how to collect selected datasets for efficient AI model training. Presented by David Gaumonth, Engineering Manager at Cisco Meraki
Watch the video here
ML Operations
Learn about machine learning operations in the MV smart camera ecosystem. Presented by Amit Kumar Saha, Principal Engineer, Cisco Meraki
Watch the video here
Deploying computer vision at the edge
Learn more about deploying MV Sense custom computer vision models at the edge with MV smart cameras. Presented by Elvira Dzhuraeva, TME Camera Intelligence, Cisco Meraki
Watch the video here
Responsible AI/ML
Learn more about Cisco's policies with respect to ethical and responsible AI, and how Meraki MV smart cameras balance providing insight and analytics without compromising privacy or security. Presented by Alissa Copper, VP/CTO, Technology Policy and Cisco Fellow
Watch the video here
And finally, learn more about Building Scalable Computer Vision via our blog on Edge AI here.
