ODSC & Microsoft March 2023 Recap – Blogs and Webinars

Over the past year, Microsoft has been releasing a lot of free content on ODSC channels, from webinars to blog posts. If you haven’t yet, now’s the time to check out what they’ve been up to.

Webinars

Responsible AI Mitigations and Tracker: New open-source tools for guiding mitigations in Responsible AI

Besmira Nushi, Principal Researcher at Microsoft 

Rahee Ghosh Peshawaria, Senior Technical Program Manager at Microsoft

This webinar explores the Responsible AI Toolbox, an open-source set of interoperable tools, libraries, and customizable tools designed to help accelerate and operationalize Responsible AI.  You will discuss the new tooling additions and use a hands-on demonstration to examine their functionalities, with particular focus on the Responsible AI Dashboard’s ability to provide insights by utilizing the identification and diagnosis stage, which then can be used to ideate and implement different mitigation techniques via the Responsible AI Mitigations library.

Classify, Split and Analyze Documents to Extract Fields and Automate Document Workflows with Azure Form Recognizer

Vinod Kurpad, Principal Product Manager at Microsoft

In this webinar, you’ll explore the latest updates to Form Recognizer, such as document classification and splitting, updates to model capabilities, including fonts, formulas, extracting barcodes, and normalizing keys, and zero shot field extraction with OpenAI capabilities. You’ll also discuss best practices for optimizing your use of Form Recognizer.                                   

Blogs

Using Azure ML to Train a Serengeti Data Model for Animal Identification

Bethany Jepchumba and Josh Ndemenge of Microsoft

This blog will guide you through the process of training a model using Notebooks in Azure Machine Learning Studio. By the end of the article, you will be able to use the PyTorch pre-trained DenseNet 201 model to classify different animals into 48 distinct categories. 

Coming Soon

Unleashing the Power of Collaborative AI: Federated Learning with Azure ML and NVIDIA Flare

Andreas Kopp, Sr. Cloud Solution Architect AI & Data Science at Microsoft

Harmke Alkemade, Cloud Solution Architect AI & Data Science at Microsoft

During this talk, you’ll learn how Federated Learning, which allows organizations to collaborate and share data while protecting the privacy of their data and safeguarding intellectual property. You’ll explore this approach through a real-world imaging use case and understand how it can contribute to improving medical research.

Conclusion

Looking for more? You can find it on Microsoft’s site here or subscribe to our newsletter for updates on Microsoft content, ODSC Webinars, Conferences, and more!