I'm Prerna, a solution engineer with 16 years of expertise in solutions architecture with the diverse landscape of data integration technologies. I am known for my collaborative work with customers and deep industry knowledge. I create solutions that align with the client's strategic goals, serving as a trusted advisor. I'm flexible and pay close attention to details, and my love for technology and commitment to doing my best drive me to always deliver great results and keep getting better. As a speaker at the Data Engineering Byte, I bring all this experience and knowledge to share, hoping to inspire and make a positive impact in the data engineering field."
This talk will emphasize the critical role data quality plays in determining the success and trustworthiness of AI systems. Poor or biased data leads to poor decision-making, a concept often described as "Garbage In, Garbage Out." I’ll discuss why AI systems need high-quality, detailed, and contextualized data, and how data streaming platforms can serve as a crucial tool in delivering fresh, accurate information to AI models. I will explore how AI systems, especially those using Retrieval-Augmented Generation (RAG), benefit from real-time data to deliver more accurate, context-rich responses. We’ll also look at how vector databases efficiently handle complex data, enabling AI to solve challenging questions with precision. The goal is to demonstrate how transitioning from just any data to the right, detailed data can transform business operations and alleviate operational efficiency, allowing actionable solutions.
Starts: 3:00 PM
Ends: 3:30 PM