Webinars

Join Intel and Edgify to explore how edge AI is helping retailers reduce shrink, improve operations, and enhance customer experiences, with no servers or cloud required.

Edgify will showcase its privacy-first edge MLOps platform: a complete toolchain for building, deploying, monitoring, and continuously retraining computer vision models directly on in-store hardware. Because data is processed and models are updated locally, retailers gain actionable intelligence while minimizing cloud dependency, bandwidth costs, and exposure of customer data.

Learn how Intel technologies power Edgify's solutions, providing the performance, scalability, and reliability needed to run and manage AI across thousands of distributed endpoints. Together, Intel and Edgify enable retailers to leverage existing infrastructure, accelerate AI adoption, and reduce deployment costs across a wide range of use cases, including product and object recognition, loss prevention and scan avoidance, shopper analytics, inventory optimization, and store operations.

The session will also cover how Edgify is extending the same edge MLOps foundation beyond the store and across the wider supply chain, applying it wherever limited connectivity, cost pressure, and data privacy make centralized AI impractical.

Attendees will gain insights into how edge AI can drive measurable business outcomes, improve operational efficiency, and create smarter retail and supply chain environments. The session will also highlight real-world deployments and best practices for scaling and maintaining AI across thousands of distributed locations.