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Data Analytics in the age of AI with Microsoft Fabric

By: Arshad

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Data Analytics in the age of AI with Microsoft Fabric

📢Objective
The objective of this session is to explore the concepts of data analytics in the age of AI and how Microsoft Fabric can be utilized as a framework to enhance data analytics capabilities. Participants will gain an understanding of the role of AI in data analytics and the potential benefits of using Microsoft Fabric.
📢Key Take aways
🎯Understanding Data Analytics in the Age of AI
🎯Overview of Microsoft Fabric
🎯Leveraging Microsoft Fabric for Data Analytics
🎯Building and training AI models using Microsoft Fabric
🎯Extracting insights and patterns from data using Microsoft Fabric
Resource to Reffer📢
🎯https://aka.ms/try-fabric
🎯https://aka.ms/fabric-docs
🎯https://aka.ms/fabrice2etutorials
🎯https://aka.ms/fabriclearn
🎯https://aka.ms/fabricideasc

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Instructed by

Arshad Ali
Principal Architect

Seasoned technical architect with deep experience in architecting and delivering enterprise scale data warehousing, business intelligence, big data and advance analytics solutions for enterprise customers across globe. Engages with strategic customers for digital transformation and business prioritization processes, particularly focused on data platform modernization and data analytics, to enable them to better utilize their data platform assets, and drive new insights and scale from their investment in cloud solutions through a combination of batch or real-time data consumption & processing (Lambda or Kappa architecture), predictive analytics as well as intuitive visualizations that enables users to make smarter, faster decisions.


A technical thought-leader who manages and collaborates with multi-stakeholders ecosystem - customers, engineering, marketing and sales, consulting, partners etc.


Presented in several technical events both internally and externally. Has co-authored a book on big data analytics (Big Data Analytics with Microsoft HDInsight by Sams\Pearson) and has written 200+ technical and performance optimization technique articles on data platform and analytics which have been published on several sites.

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In the area of : Azure
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