The rapid evolution of technology from monolithic systems to cloud computing and now to Agentic AI has brought about significant shifts, yet challenges like data silos, governance, and quality continue to hinder progress. In a discussion on the Agents of Data podcast, industry experts Angie Hastings and Shashir Srivastava emphasized the importance of addressing these issues, especially as data transitions from structured to unstructured forms, such as PDFs and images. Agentic AI is emerging as a key player, moving beyond reactive AI to orchestrate complex tasks autonomously, reducing manual labor and making data strategies more efficient. However, this shift necessitates robust governance frameworks to monitor AI for bias and security risks, ensuring human oversight remains integral. Platforms like Matillion's Data Productivity Cloud are adapting to support these advancements, enabling the seamless integration and processing of unstructured data while automating tasks to allow data teams to focus on strategic initiatives.