Bartosz Mikulski, an MLOps engineer with a rich background in data engineering, dives deep into the realm of AI data management. He highlights the crucial role of data testing in AI applications, especially with the rise of generative AI. Bartosz discusses the need for specialized datasets and the skills required for data engineers to transition into AI. He also addresses challenges like frequent data reprocessing and unstructured data handling, showcasing the evolving responsibilities in this fast-paced field.

Bartosz Mikulski, an AI and data engineer, delves into the fascinating realm of Data Intensive AI. He shares his journey from Java development to AI engineering, emphasizing the pivotal role of testing in data pipelines. The conversation explores practical strategies for testing and the integration of AI tools like ChatGPT and Cursor in development workflows. Bartosz provides insights into creating a Chrome extension for lead classification on LinkedIn, while discussing prompt engineering techniques and the impact of AI on coding practices. A must-listen for data enthusiasts!