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AI now powers personalization, assistants, and predictive analytics across modern web apps—raising engagement, conversions, and user expectations.
A concise lifecycle for AI web apps: define the problem, collect quality data, train the model, integrate via services/APIs, deploy for scale, then monitor and retrain.
AI is now a core SaaS advantage: hyper-personalization, intelligent automation, and decision support drive retention and revenue.
