This ESG Economic Validation focused on the quantitative and qualitative benefits organizations can expect by using the Amazon Kendra intelligent search solution to find information quickly and accurately from the large and growing number of structured and unstructured data sources scattered across modern organizations. ESG’s validation reveals that Amazon Kendra is a powerful tool that organizations across multiple industries leverage to increase employee productivity and customer satisfaction while lowering the total cost of ownership (TCO).
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多虧了運算能力的進展、儲存價格的降低，以及雲端運算的盛行，人工智慧 (AI) 與機器學習 (以下簡稱「ML」) 變成了主流。各種規模的組織和產業 (包括財務、零售、時尚、房地產、醫療保健等產業中的組織) 均可運用 AI 和 ML，締造各種商業優勢。這些包括獲得有關客戶的全新和更深入的洞察，識別並應對網路威脅，進行更明智的資料驅動決策，以及改進招聘流程。
Organizations and industries of varying sizes—including those in finance, retail, fashion, real estate, healthcare, and many more—can leverage AI and ML to deliver a wide range of business benefits.
In today’s retail space, customers demand that their expectations not only be met but also exceeded.
Cost Savings And Business Benefits Enabled By Amazon Intelligent Document Processing
How machine learning helps you create highly personalized and engaging customer experiences
Knowledge is integral to developing those business insights. However, there are hard costs associated with the time employees spend searching for information or acting on inaccurate information.
Extract data and derive critical insights from document volumes—quickly, accurately, and at scale—with AWS machine learning services
Improve service, reduce costs, and optimize customer experience with AWS Contact Center Intelligence solutions
How today’s businesses are using machine learning to achieve fast, efficient, and measurable results
The path toward leveraging the full power of machine learning
How 4 innovators are automating processes and reducing costs to evolve
How 4 digitally native companies are using machine learning to solve key challenges and sustain competitive advantages
How 4 startups are leveraging machine learning to solve key challenges and unlock new opportunities
More and more companies are using artificial intelligence (AI) and machine learning (ML) for everything from boosting productivity to enhancing customer experiences and satisfaction.