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Join Microsoft Reactor and engage with developers live

Ready to get started with AI and the latest technologies? Microsoft Reactor provides events, training, and community resources to help developers, entrepreneurs and startups build on AI technology and more. Join us!

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Natural Language Processing Series | Overview of Azure NLP Solutions

7 April, 2021 | 4:00 PM - 5:00 PM (UTC) Coordinated Universal Time

  • Format:
  • alt##LivestreamLivestream

Topic: Data Science & Machine Learning

Language: English

What is this session about?
In this talk we will briefly introduce AI and NLP technologies with an overview of Microsoft Azure solutions per industry pillar use-cases. We will then provide a comprehensive mapping between NLP applications and Azure AI solutions with presenting a repo that contains the links to the Microsoft Product official repositories.

Who is it aimed at?
The session is aimed at new data scientists and specialists and stakeholders who are interested in using Azure platform for their NLP use-cases.

Why should I attend?
If you wish to learn more on the following technologies or techniques this is the session for you:
Introduction to AI and NLP timeline
Review of NLP technologies
Overview of Azure solutions and mapping them with NLP
Introducing the public github with all the links to the Microsoft Product official repositories.

For more on this series, visit https://developer.microsoft.com/en-us/reactor/eventseries/NaturalLanguage

Speaker info:
Lida Ghahremanlou - Cloud Solution Architect - Microsoft

Dr. Lida Ghahremanlou is an AI specialist and a Cloud Solution Architect at Microsoft, Data & AI Azure team from Customer Success Unit (CSU), working closely with customers and partners on providing AI and Machine learning solutions using Azure cloud technologies. Prior to joining Microsoft, she was a research scientist at IBM-Research in Australia where her focus was on Cognitive Computing and Semantic Technologies. Lida is passionate in applying her skills and experience within NLP applications and solving real world problems of language understanding.

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