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Agenda

Temamøde med to forskelige vinkler på cloud teknologier samt introduktion.

• Velkomst
• Overblik over Microsoft BI services i skyen, Kenneth Michael Nielsen
• Machine Learning, Bots og MS Project, ProActive
• Pause med let bespisning og mulighed for at netværke
• Azure Analysis Services, Gabi Münster

Indlæg

Beskrivelse af de tre indlæg.

Overblik over Microsoft BI services i skyen, Kenneth Michael Nielsen

Data Lake Store, Data Lake Analytics, Stream Analytics, HDInsight, Functions, Logic Apps, Data Factory, Machine Learning, Power BI, Analysis Services, Data Catalog, SQL Database, SQL Data Warehouse, Cortana Intelligence Suite – for bare at nævne nogle :-). Listen er lang og forsætter med at vokse! Denne session vil give dig det hurtige overblik.

Machine Learning, Bots og MS Project, ProActive

What do you get when you mix Skype Bots with Machine Learning and MS Projects – “a personal project management assistant”. Imagine that your personal project management assistant  (THE BOT) can guide you through creating new projects based on plain text. The BOT advises you, based on already existing projects, what you should take into consideration. The BOT comes with qualified guesses on estimates and deadlines, and help you staff your project.

Azure Analysis Services, Gabi Münster

Since April 2017 another fascinating PaaS in the Microsoft Cloud reached general availability: Azure Analysis Services.
But why should you switch from your existing on-premise solution to the cloud or plan your new approach with it? What are the big advantages of Azure Analysis Services? And what actually are the differences to PowerBI? Why is Azure Analysis Services an important step to enhancing the possibilities for BI in the cloud?
This session offers answers to your questions and provides insight to support the positioning of Azure Analysis Services in your Business Intelligence strategy.