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Vansh Khandelwal
Full Stack Web Devel... • 1m
AI-driven data integration converges diverse sources (databases, streams, SaaS) with a semantic layer/knowledge graph, entity resolution, embeddings and a real-time inference layer so UIs consume intent-rich signals rather than raw records. Benefits: faster experiences, lower cognitive load, proactive workflows, personalization, multimodal conversational interfaces and real-time contextualization. Examples: a retailer swapping hero promotions saw a 12% revenue-per-visitor uplift in 3 months; media recommendation systems and a regional hospital’s triage UI improved throughput and clinician satisfaction. Implementation: start with one high‑impact use case, build canonical entities, use embeddings, optimize latency/cost, monitor bias and drift, and enforce privacy/compliance. The outcome: UIs become proactive assistants—measure impact and iterate.
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