Real-world data is messy. It often spans media types, changes constantly, and carries valuable knowledge that's not always readily usable. Azure Cognitive Search is a cloud search service that can help you build a rich search experience into your apps. This week we'll break down how Cognitive Search works in three easy steps and show you how to use it with Azure AI's vision and decision capabilities to transform raw, unstructured information into searchable content. Then you'll get to tackle a fun challenge! We'll provide sample code to build a knowledge mining solution that extracts valuable insights from your documents, images, and media.

We will cover:
• Use AI to automate document processing
• Implement knowledge mining with Azure Cognitive Search
• Some example apps to build on.

Further Learning :
https://aka.ms/AzCognitiveSearch-LM-25/3
https://aka.ms/CommunityRegistration-11/3

Speaker: Vivek Sridhar is a technophile and an Open-Source contributor with around 15+ years of experience in the Software Industry and works at Microsoft as a Senior Cloud Advocate, Cloud + AI engineering team. In his previous role, he has mentored startups/developers, speaker at conferences/meetups for DigitalOcean as Senior Developer Advocate, Co-Founder / Chief-Architect of NoodleNext Technology. He was also heading DevOps and QA at BlackBuck and was a DevOps Solution Architect at HCL (Australia) in client engagement. Vivek started his career with IBM Rational (India Software Labs) as a Software Developer.

Connect with Vivek on Twitter - https://twitter.com/vivek_sridhar