nasscom Design & Engineering Summit 2024

As the world of AI changes at a rapid pace, on the one hand, questions are raised around the fitness of data – from cleanliness and consistency to accuracy and quality – and on the other, around the scarcity of data due to availability, restrictions, and regulations. Join us as we delve into how AI models that rely on vast amounts of healthy data for training and performance may run into a ‘data wall’, potentially reaching the limits of available data. In this session, we’ll explore innovative approaches for ensuring data endurance to drive superior AI outcomes and ask if synthetic data is the way to find balance between quality and quantity.