This TCS whitepaper highlights challenges and strategies in building enterprise-grade AI applications. It emphasizes AI Performance Management (AIPM) to streamline development, ensure governance, and accelerate deployment. Key factors include selecting optimal datasets, infrastructure (CPU/GPU/ASIC), frameworks, and ensuring explainability to reduce bias and improve trust. AI projects require diverse skills across data science, engineering, and domain expertise. AIPM teams and partnerships with startups and ecosystem players are essential to manage complexity and deliver scalable, efficient, and ethical AI solutions for industries like autonomous vehicles, smart cities, and healthcare.

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