Martin Bald
Wallaroo.AI
学习、联系、构建
准备好开始使用 AI 和最新技术了吗? Microsoft Reactor 提供活动、培训和社区资源,帮助开发人员、企业家和初创公司利用 AI 技术等。 快加入我们吧!
学习、联系、构建
准备好开始使用 AI 和最新技术了吗? Microsoft Reactor 提供活动、培训和社区资源,帮助开发人员、企业家和初创公司利用 AI 技术等。 快加入我们吧!
16 maj, 2024 | 4:00 em - 5:00 em (UTC) 协调世界时
Område: 数据科学和机器学习
Språk: 英语
Congratulations! You have deployed your AI models to the Edge. How do you make sure they are performing the way they were intended to? If they are not, what can you do about it?
In this session we will deep dive into capturing observability data on Edge deployments even when the network connection is intermittent or has limited bandwidth and have the ability to return the data during specific time periods to run observability on this data.
We will show how Data scientists in the Model Operations Center can monitor drift for models deployed for a specific edge location or a group of edge locations and take action on underperforming models by hot swapping in better performing models.
Try this Computer Vision model and other common AI use cases using the Wallaroo.AI Azure Inference Server Freemium Offer on Azure Marketplace (https://aka.ms/Wallaroo-Inference) and also try the Free Wallaroo.AI Community Edition (https://aka.ms/Wallaroo.AI-Free)
Talare
Händelserna nedan kan också vara av intresse för dig. Var noga med att besöka vår Reaktorns startsida för att se alla tillgängliga händelser.
Format:
直播
Område: 数据科学和机器学习
Språk: 英语
Format:
直播
Område: 数据科学和机器学习
Språk: 英语
Den här händelsen är en del av Wallaroo.AI: Techniques for Faster, Easier AI Series.
Klicka här för att besök seriesidan där du kan se alla kommande händelser och händelser på begäran.