Upcoming sessions
Time: April 23rd 8 am PT/11am ET/5 pm CET| Place: Online
Next up:
Cost-Effective Edge AI: Simplify AI Model Lifecycle Management with Avassa and Plainsight
Bootable Cost-Effective Edge AI: Simplify AI Model Lifecycle Management with Avassa and Plainsight Join us for our April Ask the Expert episode, where we team up with Plainsight to explore how you can scale your Edge AI operations without breaking the bank. This session will show you how Plainsight's Video Input Stream and Output Recorder (VISOR) Filter processes unstructured video data on the Avassa Edge Platform, generating business-relevant data—no expensive GPU hardware required.
From detecting trains arriving at stations to advanced tasks like serial number recognition, this webinar highlights how Edge AI models and efficient workload lifecycle management can revolutionize industrial processes. In a live demo you’ll explore practical IoT monitoring use cases and get the opportunity to engage directly with experts from Avassa and Plainsight.
This is a great opportunity for anyone considering, or already having, AI models running in on-site edge environments to learn the latest best practices. Together, Avassa and Plainsight are driving innovation in industrial automation with scalable, cost-effective solutions.
If you have questions for the team, join us and get the chance to ask them live! See you April 23rd!
Experts: Fredrik Jansson, Avassa & Kit Merker, Plainsight
Lined up:
May 27th: Top 10 Frequently Asked Questions to the Avassa Engineering Team (Part 2)
Sign up today, and receive invites for the upcoming sessions as well.
2025 sessions:
19 Feb Top 10 Frequently Asked Questions to the Avassa Engineering Team
2024 sessions:
26 Mar Bootable Containers at the Edge — What, why and how! with Avassa and Red Hat
16 Oct Effortless, from Unboxing to Scale-Up: A Guide for Onboarding the Edge with OnLogic and Avassa
27 June From Model Training to Production and Back: Close the Loop of AI Models at the Edge. An example of an implementation architecture of AI models at the resource-constraint edge.
27 May Stop asking “What happened?” Remote monitoring of distributed edge container applications. There are better solutions than a huge, messy log bucket!
29 April Edge AI: Where MLOps ends and edge orchestration begins. Deploy, version, and monitor your local Edge AI models with ease.
Deepen your understanding
Learn about container management and orchestration challenges that are unique for Edge and IIoT, and how to overcome.
Interactive and hands-on
Follow hands-on examples and gain insights on how to secure, monitor, deploy, observe, and version containers with automation and through integrations with your standard cloud tooling.
