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This Podcast of Tim and Praveen delves into the critical role of clean data in AI development and the importance of practical application over mere theoretical knowledge. Praveen shares insights on the evolving roles of data scientists, engineers, and analysts, emphasizing the need for continuous learning in AI and machine learning. The discussion also covers challenges in recruitment, advocating for a more objective and data-driven approach. Key topics include the efficacy of video submissions, the balance between technical and soft skills, and innovative practices to ensure fair and unbiased hiring processes.
This Podcast of Tim and Praveen delves into the critical role of clean data in AI development and the importance of practical application over mere theoretical knowledge. Praveen shares insights on the evolving roles of data scientists, engineers, and analysts, emphasizing the need for continuous learning in AI and machine learning. The discussion also covers challenges in recruitment, advocating for a more objective and data-driven approach. Key topics include the efficacy of video submissions, the balance between technical and soft skills, and innovative practices to ensure fair and unbiased hiring processes.