Gabriel Sallah

Gabriel is autonomous driving solutions lead at Microsoft and a Global Black Belt in EMEA. He focuses on ADAS projects for passenger and industrial vehicles across all the major OEMs and Tier 1 suppliers. Gabriel has more than 20 years’ experience building large-scale HPC, big data and AI platforms across automotive, financial markets, life sciences and academia at Microsoft (EMEA), IBM (EMEA), Barclays Capital (London) and Standard Chartered Bank (Singapore). He has an undergraduate degree in computer science from Heriot-Watt University in Scotland and a postgraduate degree in computer-aided engineering from Napier University, also in Scotland.

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Presentation

How generative AI will transform ADAS/AD

The session focuses on the application of Generative AI for the testing and validation of ADAS/AD use cases. We will look at how OEMs and Tier 1s are using Large language models and enriching computer vision models to build , test and develop perception models quicker. Finally we will delve in the new Microsoft Azure AI building blocks that enhance training and inference of these AI models.

The audience will learn:

• End to end architecture for ADAS/AD on the Azure Cloud
• Generative AI for Scenario management and Visual perception
• LLMs, SLMs and Visual LM leveraging Azure AI services.