USING AI & MACHINE LEARNING
IN THE ENTERPRISE
San Francisco + On-Demand | November 7, 2024
Aditi Godbole
Senior Data Scientist, SAP
Aditi Godbole is a dedicated AI and ML professional with over 11 years of experience in applying advanced machine learning techniques to solve complex business problems, drive revenue growth, and enhance operational efficiency. She has led the design, development, and successful execution of large-scale enterprise software projects, particularly in the areas of natural language processing (NLP) and machine learning. In her current role as a Senior Data Scientist at SAP, Aditi plays a pivotal role in shaping the AI and machine learning strategy while delivering data-driven solutions for integrated spend management across SAP’s product portfolio. Her expertise covers a broad spectrum of machine learning disciplines, including supervised learning, natural language processing, and Generative AI. Beyond her technical skills, Aditi is passionate about mentoring and sharing her knowledge to help others advance in the fields of Machine Learning and Data Science. She excels as a thought leader, authoring technical articles and presenting effectively to executive leadership. Additionally, she holds patents and is actively involved in fostering innovation within the AI and ML domains.
Watch in-person: November 7
Transforming Enterprise Data Strategies with Synthetic Data and Data Augmentation
Businesses face privacy concerns, limited data availability, or unbalanced datasets, which can hinder the development of robust machine learning models. In this session I’ll examine promising solutions in in synthetic data and augmentation methods. This will include techniques for generating realistic, diverse datasets that mimic real-world data, to help enterprises overcome data scarcity while protecting sensitive information. I’ll also use case studies to explore ways to enhance existing data to improve machine learning models.