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The making of well-designed AI/ML solutions requires significant data engineering and data wrangling exercises. Data engineering and scalable modern solution architectures are key requirements for an AI/ML solution for production use. We at Sreeb, use a business-focused approach to IT in engineering the solution, aligning analytics, AI/ML approaches, and technology. Unleashing agile analytics within an enterprise where data is imprisoned in legacy platforms and infrastructure requires not just an IT transformation – but a data-first approach driven by an analytics partner. Finally, to understand how the data-to-decision making comes together requires excellent team dynamics and analyzing, designing, and building the AI/ML application.