AWS helps organizations across industries successfully leverage ML across three categories of critical business objectives: improving the customer experience, optimizing business operations, and accelerating innovation. This eBook features success stories from AWS customers that have achieved transformative results across these three categories using powerful ML capabilities.
AWS ML Web Day in HK (Cantonese)
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運用合適的雲端服務和基礎設施加速機器學習創新
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。
Accelerate machine learning innovation with the right cloud services and infrastructure
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.
Transform retail experiences and operations with machine learning from AWS
In today’s retail space, customers demand that their expectations not only be met but also exceeded.
ESG Economic Validation - Analyzing the Economic Benefits of Intelligent Search using Amazon Kendra
The Total Economic Impact™ Of Amazon Intelligent Document Processing
Cost Savings And Business Benefits Enabled By Amazon Intelligent Document Processing
Drive business growth with personalization
How machine learning helps you create highly personalized and engaging customer experiences
Why your business needs ML-powered search
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.
Set your document data free
Extract data and derive critical insights from document volumes—quickly, accurately, and at scale—with AWS machine learning services
Improving customer experience by adding AI to your contact center
Improve service, reduce costs, and optimize customer experience with AWS Contact Center Intelligence solutions
ESG Economic Validation - Analyzing the Economic Benefits of Intelligent Search using Amazon Kendra
This ESG Economic Validation focused on the quantitative and qualitative benefits organizations can expect by using the Amazon Kendra intelligent search solution.
7 leading machine learning use cases
How today’s businesses are using machine learning to achieve fast, efficient, and measurable results
Six steps to machine learning success
The path toward leveraging the full power of machine learning
Accelerate business growth with machine learning
How 4 innovators are automating processes and reducing costs to evolve
Optimize your digital value chain with machine learning
How 4 digitally native companies are using machine learning to solve key challenges and sustain competitive advantages
Unleash the power of your startup with machine learning
How 4 startups are leveraging machine learning to solve key challenges and unlock new opportunities