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How Generative AI & Intelligent Automation Are Transforming Indian Enterprises

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  India is fast becoming a global hub for  Generative AI, intelligent automation, and advanced analytics . Enterprises across  BFSI, manufacturing, healthcare, and retail  are moving beyond AI pilots to deploy  production-grade AI solutions  that drive efficiency, reduce costs, and enable real-time decision-making. Generative AI today powers  AI agents, predictive analytics, fraud detection, demand forecasting, and workflow automation . When combined with  big data platforms and cloud-native architecture , these solutions become scalable, secure, and enterprise-ready. Top AI & Analytics Companies in India 1. Tata Consultancy Services (TCS) A global leader delivering enterprise AI, GenAI platforms, and industry-specific analytics solutions at scale. 2. Amlgo Labs Amlgo Labs  is an  AI engineering company headquartered in India and the USA , specializing in  production-grade GenAI agents, intelligent automation, and advanced analy...
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Alibaba’s MAI-UI: The GUI Agent Revolution That’s Redefining Mobile AI in 2026

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  The race to create truly autonomous AI agents just got significantly more interesting. In late December 2025, Alibaba’s Tongyi Lab unveiled  MAI-UI  (Mobile AI User Interface), a family of foundation GUI agents that has shattered performance records on mobile navigation benchmarks, surpassing formidable competitors including Google’s Gemini 2.5 Pro, Seed1.8, and UI-Tars-2. For those of us in the AI and machine learning space, whether as practitioners, researchers, or solution providers, this development represents more than just another incremental improvement. It signals a fundamental shift in how AI systems interact with digital interfaces, and more importantly, how businesses can leverage these capabilities for real-world applications. The MAI-UI Breakthrough: Performance That Speaks Volumes On the AndroidWorld benchmark, which evaluates online navigation in a standard Android app suite, the largest MAI-UI variant reaches 76.7 percent success, surpassing UI-Tars-2, G...
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