This is a dedicated Power BI User group for Dublin & surrounding areas. We are aiming to educate as many people on this market leading tool, and create a valuable networking environment for sharing and collaboration.
Amongst the plethora of ML that has been integrated into many Microsoft products, they also offer two significantly different platforms for more focused, deployable machine learning. Those two platforms are also great for doing data science, predictive analytics, knowledge mining, or for starting with AI.
The newer one of the two is the recently revamped, 2020 edition of the cloud-based Azure ML. The other option is the on-prem or cloud-based ML Server and SQL Server 2019 ML Services, with R, Python, and some extra Spark-based big data tech. Which is better? Which is faster? Which one should you use for which types of projects? Get your bearings from Rafal Lukawiecki, veteran of this space who has been building machine learning-based solutions for over 10 years and who has studied AI back in ‘90s.
You are highly encouraged to ask questions during this interactive, online session.
Power Platform projects have some key differences from traditional projects where a development team may build an app from scratch.
This session will be of interest to those who want to know where to start. The session will demonstrate building both a canvas and model driven app that sits on top of the Common Data Service.
Case study of a contract management Team where Flow creates contracts documents from SharePoint data with ease and Power Apps AI Builder scans in signed contracts directly from Teams.
Team announcements and Flow reminders complete the contract lifecycle.
Azure IoT Central it's a production-ready PaaS Microsoft offer. On this session, I walk you through the capacities of the platform showing a practical scenario where Refrigerated Trucks send telemetry to IoT Central and using the Data Export feature consume this data for or long-term trend analysis on Power BI.