This presentation provides an overview of how NVIDIA RAPIDS accelerates data science and data engineering workflows end-to-end. Key topics include leveraging RAPIDS for machine learning, large-scale graph analytics, real-time inference, hyperparameter optimization, and ETL processes. Case studies demonstrate significant performance improvements and cost savings across various industries using RAPIDS for Apache Spark, XGBoost, cuML, and other GPU-accelerated tools. The talk emphasizes the impact of accelerated computing on modern enterprise applications, including LLMs, recommenders, and complex data processing pipelines.

What does it really mean to be a data-driven organisation? In this session, Hazal Muhtar, Senior Director of Analytics at Wise, will share real-life examples of how customer data fuels product innovation, marketing and growth at one of the world’s leading fintech companies.

Hazal will explore how data is driving change across industries and reshaping the way businesses operate. She’ll also discuss the importance of data democratization—how winning teams across an organisation access to insights can spark innovation, accelerate decision-making and build a culture where data is a shared language.

Join this session to discover how Wise embraces data at scale, and leave with practical takeaways on how customer data can become your most powerful asset in unlocking transformation and growth.

Wherever you are in your career, this session will hopefully inspire you to take that next LEAP.  

Join us as we delve into mentorship circles, cross-disciplinary team challenges, and real-time feedback loops that accelerate personal skill growth and spark creative solutions to take back to your businesses and drive measurable impact.  

This focused 30-minute session will teach you the power of the Women in Data® Leadership, Equity, Acceleration Programme (LEAP). We will explore its hands-on curriculum and how its dynamic peer network is empowering data professionals to collaborate, innovate, and lead.

Powered by: Women in Data®

Discover how to build a powerful AI Lakehouse and unified data fabric natively on Google Cloud. Leverage BigQuery's serverless scale and robust analytics capabilities as the core, seamlessly integrating open data formats with Apache Iceberg and efficient processing using managed Spark environments like Dataproc. Explore the essential components of this modern data environment, including data architecture best practices, robust integration strategies, high data quality assurance, and efficient metadata management with Google Cloud Data Catalog. Learn how Google Cloud's comprehensive ecosystem accelerates advanced analytics, preparing your data for sophisticated machine learning initiatives and enabling direct connection to services like Vertex AI. 

So you’ve heard of Databricks, but still not sure what the fuss is all about. Yes you’ve heard it’s Spark, but then there’s this Delta thing that’s both a data lake and a data warehouse (isn’t that what Iceberg is?) And then there's Unity Catalog, that's not just a catalog, it also does access management but even surprising things like optimise your data and programmatic access to lineage and billing? But then serverless came out and now you don’t even have to learn Spark? And of course there’s a bunch of AI stuff to use or create yourself. So why not spend 30 mins learning the details of what Databricks does, and how it can turn you into a rockstar Data Engineer.