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خرید و دانلود نسخه کامل کتاب زبان اصلی AI Beyond the Pilot: The Enterprise Blueprint for Trusted AI in Banking and Insurance PDF | دانلود کتاب خارجی
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زمان تحویل: حداکثر 24 ساعت
آنتونی رابینز میگه : من در 40 سالگی به جایی رسیدم که برای رسیدن بهش 82 سال زمان لازمه و این رو مدیون کتاب خواندن زیاد هستم.
“If this AI product gives a customer the wrong answer, who is liable, and how do we know what answer it gave?” This single question from a compliance officer can halt a Fortune 100 enterprise AI initiative in its tracks.In the consumer tech world, the playbook for shipping AI is simple: move fast, launch a prototype, iterate on user feedback, and treat hallucinations as minor quality bugs. But in banking, financial services, and insurance, that playbook completely breaks. In a highly regulated environment, an ungrounded model output isn’t just a bad user experience—it is a major liability event, a regulatory violation, or a multi-million-dollar lawsuit.Because of this friction, brilliant data science teams consistently get trapped in “pilot purgatory”—spending millions on prototypes that never scale because the institution lacks the architectural plumbing to say yes safely.In AI Beyond the Pilot, Abhishek Kumar reveals the definitive enterprise blueprint to build that plumbing and scale trusted generative AI across heavily regulated sectors.Drawing directly from the battle-tested deployment of a centralized generative AI platform at a Fortune 100 insurer, Kumar shares the exact operational and architectural strategies that compressed product time-to-market by 75%—slashing deployment cycles from twelve months down to just three.Discover the practical, four-part 4P Framework that moves AI from an isolated research project into a scalable institutional practice:PLATFORM: How to stand up a shared engineering, security, and multi-model infrastructure that empowers independent business units without sacrificing centralized control.PATTERN: Reusable design patterns for Retrieval-Augmented Generation (RAG) as infrastructure, paired with an Enterprise Guardrail Framework to inspect inputs and outputs in real time.PRACTICE: Constructing cross-functional AI product teams where Data Science, Legal, Compliance, Security, and Business Leaders operate as collaborative co-owners, not bottlenecks.PROOF: Establishing continuous evaluation and continuous Model Risk Management (MRM) aligned with evolving regulations like the NAIC Model Bulletin, NYDFS Circular Letter No. 7, and Federal Reserve SR 11-7.Whether you are a financial technology executive mapping an enterprise-wide AI roadmap, a product leader stuck on integration and compliance hurdles, or an engineering architect designing a secure enterprise data layer, this book provides your field manual.Stop running isolated AI experiments. Learn how to transition your organization from assistance to action, overcome the matrix tax, and architect a scalable AI ecosystem that your institution can confidently stand behind.Scroll up, click “Buy Now,” and move your enterprise AI beyond the pilot.

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