Doing AI, Automation and RPA Better

We will have presentations, demoes, and open lightly guided discussion using the Lean Coffee formation

Summary:
In this session, we will dive and explore the critical role of data quality in the era of Large Language Models (LLMs). We explore how data curation, access to private and rich data can impact the outcome and results observed for solutions that are based in Large Language Models. We will explore how data curation and access to private, rich data can significantly impact the outcomes and results of solutions based on Large Language Models. Additionally, we will cover the use of techniques like fine-tuning, RAG (Retrieve, Add, Generate) and synthetic data generation to enhance the performance of Generative AI.
Bio:
Fabiana Clemente is the co-founder and CDO of YData, combining Data Understanding, Causality, and Privacy as her main fields of work and research, with the mission to make data actionable for organizations. Passionate for data, Fabiana has vast experience leading data science teams in startups and multinational companies. Host of “When Machine Learning meets privacy” podcast and a guest speaker at Datacast and Privacy Please, the previous WebSummit speaker and distinguished as "Top Machine Learning" voice by LinkedIn.