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Boost customer service effectiveness by utilizing AI-driven summarization through Amazon Transcribe Call Analytics.

Amazon Bedrock, Amazon Machine Learning, Amazon Transcribe, Artificial Intelligence, UncategorizedMay 1, 202431Views0Likes0Comments
Amazon has introduced a generative AI call summarization feature to its Transcribe Call Analytics product. The new feature means customer service representatives no longer need to manually chronicle their interactions with customers, which can often account for up to a third of total call time. The additional capability will reduce customer waiting times and improve efficiencies…

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Enhance the precision of Amazon Rekognition Face Search by utilizing user vectors.

Advanced (300), Amazon Machine Learning, Amazon Rekognition, UncategorizedApril 25, 202433Views0Likes0Comments
In numerous industries such as finance, telecommunications, and healthcare, online identity verification is a critical process. This is often done using a multi-step digital identity process, one example of which is face search, which matches an end-user's face with those in an existing account. A variety of steps are necessary to build an accurate face…

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Developing scalable, safe and dependable RAG applications using Knowledge Bases for Amazon Bedrock

Amazon Bedrock, Amazon Machine Learning, Artificial Intelligence, AWS Well-Architected Framework, Generative AI, Intermediate (200), UncategorizedApril 24, 202436Views0Likes0Comments
Generative artificial intelligence (AI) is advancing rapidly, and organizations are exploring its potential applications. To ensure long-term success of AI-powered systems, it is essential to align them with well-established architectural principles. In this sense, the Amazon Web Services (AWS) Well-Architected Framework offers valuable guidelines for designing and operating reliable, secure, efficient, and cost-effective systems in…

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Discover concealed associations in unstructured financial data using Amazon Bedrock and Amazon Neptune.

Advanced (300), Amazon Bedrock, Amazon Machine Learning, Amazon Neptune, Architecture, Financial Services, JavaScript, Python, Thought Leadership, UncategorizedApril 18, 202442Views0Likes0Comments
Portfolio managers in the asset management industry face challenges in identifying secondary and tertiary impacts on their portfolio companies originating at suppliers, customers, partners, or other entities in their ecosystem. This piece illustrates an automated system that combines knowledge graphs and generative AI to help in identifying such risks. The system scans real-time news and…

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