AWS Partner Network (APN) Blog
Category: Amazon Bedrock
How Shellkode Uses Amazon Bedrock to Convert Natural Language Queries to NoSQL Statements
Large language models like Amazon Bedrock can generate MongoDB queries from natural language questions, transforming how users access NoSQL databases. By leveraging AI and language models, this solution allows business users to query MongoDB data through conversational English instead of code. It connects to MongoDB with PyMongo, generates queries with LangChain and Bedrock, retrieves and formats results into natural language answers.
Transforming Customer Service with Rapyder’s Generative AI-Powered Call Agent Analyzer
Rapyder’s Call Agent Analyzer uses generative AI on AWS to revolutionize call center operations. It efficiently processes multilingual audio, summarizes calls, analyzes script adherence, and structures insights into actionable data. This solution helps businesses enhance customer satisfaction through data-driven call agent performance evaluation and training. As an AWS Partner, Rapyder provides cutting-edge cloud solutions that are reshaping industries like customer service.
How Infosys is Reimagining Enterprise Solutions with Generative AI on AWS
Infosys is leveraging AWS generative AI capabilities like Amazon Bedrock and AWS Trainium to enhance its enterprise solutions. For example, Infosys Personalized Smart Video uses Amazon Bedrock to create rich, dynamic video content, while Infosys Cortex applies generative AI to analyze call transcripts and improve customer engagement. Overall, Infosys is rapidly adopting AWS’ flexible and scalable generative AI services to boost automation, productivity and user experience across its portfolio.
AWS Partner Generative AI Playbook, Partner Marketing Kits, Customer Journey Insights, and Market Data
AWS launched a Generative AI Center of Excellence to help partners keep pace with rapid advancements in generative AI. The CoE provides exclusive resources like playbooks, trainings, and marketing assets to educate partners on building solutions using AWS generative AI services. We’ll continue adding generative AI resources to accelerate strategies that enable partners to help customers adopt generative AI securely, responsibly, and cost-effectively.
Generative AI Assistants Enhance Productivity and Personalize the Self-Service Employee Experience
Organizations face challenges managing and sharing knowledge. Traditionally, employees waste time searching documents or asking experts for guidance. AI assistants address this by quickly providing relevant, personalized responses. As Cognizant’s HR assistant use case shows, generative AI solutions enable self-service access to tailored knowledge that can reshape workplace efficiency by streamlining processes, reducing response times, and empowering employees.
The Future of Search: Exploring Generative AI Chat-Based Solutions with AWS and Slalom
In a recent webinar, Slalom and AWS showcased the incredible potential of chat-based enterprise search powered by AWS generative AI services like Amazon Bedrock. We’re excited to share key takeaways and a more in-depth exploration of the transformative landscape that chat-based search creates. Learn how technologies like Amazon Bedrock empower businesses to build intelligent chat-based interfaces that allow employees to interact with company data conversationally.
Leveraging Neo4j and Amazon Bedrock for an Explainable, Secure, and Connected Generative AI Solution
Neo4j is a graph data platform that, together with Amazon Bedrock, offers a compelling value add to any enterprise. Learn about the knowledge retrieval and extraction processes and review a couple of retrieval augmented generation (RAG) application architectures. Using Amazon Bedrock and Neo4j, you can simplify the knowledge extraction process which can be more complex and manual using traditional NLP libraries.
How Infosys Built an Enterprise Knowledge Management Assistant Using Generative AI on AWS
A common challenge faced by many companies involves the requirement to enhance the clarity and availability of internal documents. These scenarios present significant hurdles for support teams, business users, and new members who often encounter difficulties locating the relevant documentation. This post discusses how Infosys built an enterprise knowledge management assistant using generative AI technologies on AWS.
Unlocking Innovation: A Closer Look at Deloitte’s Generative AI Solutions on AWS with Amazon Bedrock
The transformative power of artificial intelligence (AI) is something Amazon and Deloitte know well. With over 40 years combined experience in the AI space, these leading organizations are innovating and using AI technologies to change how businesses work, grow, and thrive. The journey continues with Amazon Bedrock, the easiest way to build and scale with foundation models (FMs), and in this post we’ll share how Deloitte can help customers benefit from AWS’s generative AI offerings.
Transforming Aviation Maintenance with the Infosys Generative AI Solution Built on Amazon Bedrock
Commercial aircraft maintenance, repair, and overhaul (MRO) is a global business requiring unique scheduled and unscheduled maintenance, as well as regulatory compliance to ensure airworthiness for continued operation. Learn how an Infosys generative AI-based solution built on Amazon Bedrock enhanced productivity and leveled the playing field for newcomers in MRO. The solution aims to reduce the expenditure on document search, analysis, interpretation, and management.