This analysis examines operational challenges of AI adoption in enterprises, highlighting essential data practices for value.
This paper examines the hidden costs and operational challenges associated with enterprise AI adoption. Through case studies involving Microsoft, Uber, Starbucks, and Pizza Hut franchise operations, it explores issues such as infrastructure costs, data quality, trust, governance, and scalability. The study highlights why Data Analytics and Data Engineering remain essential for successful AI implementation and long-term business value.
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Vijay Kumar B S (2026) studied this question.
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