In today's data-driven world, the necessity for high quality data has never been more critical. With the surge in AI applications and tailored large language models across industries, the ramifications of flawed training data can be profound. Jonas Dieckmann, Global Manager for Data Intelligence, showcases a new approach to leverage GenAI to clean-up and harmonize datasets for analytics.

 

Key Takeaways:

• Understand the pivotal role of clean data in data science.

• Explore how generative AI can revolutionize data quality enhancement.

• Learn practical insights from real-world use cases within Philips.

• Embrace a hands-off approach to data harmonization for enhanced efficiency.