JL Maréchaux is a member of the “Marketing Data Science” team at Google. The team’s mission is to help North American companies use artificial intelligence to accelerate their digital transformation. In his current role, JL works on advanced analytics and applied machine learning (ML) solutions for digital marketing.
His professional background is in software engineering, agile practices, and cloud technologies. Before joining Google, JL worked on delivering AI-focused solutions, particularly for the retail and supply chain sectors. He also spent many years at major technology companies such as IBM, BlueYonder/Panasonic and Sybase (now SAP), where he held several software engineering positions. JL is passionate about technology and artificial intelligence. He enjoys meeting other professionals who want to share their ideas and experiences.
Leveraging BigQuery and Python Notebooks to Power Your AI/ML Projects
This tech talk will introduce you to the latest BigQuery features for data exploration and machine learning models building. Through hands-on demos, we will see how data science teams can use BigQuery and Python notebooks to create machine learning models on tabular data.
Specifically, we will cover the following topics:
New data exploration and visualization capabilities in BigQuery
Applied AI/ML with Python and BigQuery ML
A sneak peek at Generative AI with BigQuery
If you are a data scientist or a developer (cloud or mobile app) interested in learning more about AI/ML with open source APIs and Google BigQuery, then this tech talk is for you.
By the end of the session, you will have:
Discovered some latest BigQuery APIs and features for AI/ML
Learned how to build a predictive model in Python and BigQuery ML
Seen concrete examples of how to use LLM/generative AI with BigQuery