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Technical How-to

Develop a programmed framework to extract insights from customer feedback assessment using Amazon Bedrock and Amazon QuickSight.

Customer feedback analysis can provide crucial insights for a business, but manually analyzing and categorizing these large volumes of unstructured data is a time-consuming task that is prone to inconsistencies and subjectivity. The process can be streamlined through the use of large language models (LLMs), comprehensive machine learning models that can interpret, generate, and analyze…

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Imperva enhances the production of SQL from natural language through the use of Amazon Bedrock.

Imperva, a cybersecurity firm, in a collaboration with Ori Nakar, have found a solution to improve user experience by translating natural language inputs into SQL queries, thanks to a large language model (LLM) and Amazon's artificial intelligence service, Amazon Bedrock. This model and service are designed to help users sift through data more intuitively and…

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Implement a Slack portal for Amazon Bedrock.

Unveiling a game-changing integration, users can now harness the power of generative AI within their Slack workspace via Amazon Bedrock. This rich, new AI experience offers nimble brainstorming sessions, real-time ideation, and document or code snippet drafting. By eliminating distracting context switches, this integration streamlines workflow and powers team collaboration, making it ideal for managing…

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Create a personalized user interface for Amazon Q Business.

Amazon Q, an AI-driven assistant developed for businesses, allows organizations to quickly find relevant solutions to important issues, streamline tasks, make quicker decisions, and promote innovation. Users can customize Amazon Q to match their business's branding and requirements. This blog post provides a guide on how to create a personalized user interface (UI) for Amazon Q…

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