Sydney AI Hub - Knowledge Mining at Microsoft

Knowledge Mining is the ability to mine unstructured data; think documents, pdfs, emails, images, sound files etc. Using Artificial Intelligence and Machine Learning allows unstructured data to be ‘cracked opened’ and indexed into which can then be served a multitude of applications; such as a Bot Framework, a mobile app and more..

We have some great presentations on the topic from Sydney AI Hub members, Lumaway and Microsoft AI Engineers from Redmond. 

Agenda 

• Introductions
• Knowledge Mining – what’s that about?    
• Lumaway - Using AI to help people find the skills they need
• AI Trends in Microsoft – What’s it like being a Developer in Redmond

This will be a catered event and tickets are limited.

Speakers

Mike Carter

Mike Carter is a Principal Program Manager on the Applied AI team at Microsoft.  He works on Azure Search, a managed search service that makes it easy for developers to build rich search experiences over their content.  Mike focuses on the core search experience and managed platform.  Mike has been at Microsoft for 18 years in various engineering roles, including Visual Basic.Net QA, developer support for one of Microsoft’s largest enterprise customers, and program manager on the Dynamics 365 platform team.  He graduated with a degree in Computer Engineering from the University of Illinois.

Mark Heffernan

Mark Heffernan is a Senior Program Manager in the Applied AI team at Microsoft. He works on Azure Search, a cloud solution that allows developers to incorporate rich search experiences into applications without managing infrastructure. Mark focuses on indexers which allow Azure Search to connect to various data sources. Before working on Azure Search Mark spent 5 years working in the Windows Kernel team where he contributed to the bring up Windows 10 on ARM. He holds a BS in Electrical Engineering from the University of Texas at Austin.

Htet Naing Aung

Htet Naing Aung is a postgraduate student pursuing a Master of Data Science and Innovation degree at the University of Technology Sydney (UTS). As part of his capstone project, he is working with Lumaway to extract specific information from semi-structured and unstructured text documents. He also works part-time on web development and data analysis tasks at Fulcrum3D. Before studying data science at UTS, Htet worked 2 years as a software developer at CODIUM, in Bangkok. He holds a BS in Engineering (Information and Communication Technology) from the Asian Institute of Technology in Bangkok, Thailand.

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