Category: Amazon Bedrock

HCLSoftware’s automation product, HCL Workload Automation (HWA), now integrates with AWS Step Functions. This integration offers a comprehensive automation solution, streamlining complex workflows across cloud and on-premises environments. It enables organizations to automate more use cases with increased efficiency, scalability, and reliability, utilizing the robust AWS ecosystem of services. This strategic partnership empowers customers to transform their IT landscape through centralized, cloud-native automation.

In April, Amazon Web Services (AWS) unveiled a suite of groundbreaking features for Amazon Bedrock and Amazon Q, ushering in a new era of generative AI capabilities. Learn how AWS Partners are leveraging the latest Amazon Bedrock and Amazon Q features to transform how they build, scale, and deploy intelligent applications—unlocking unprecedented opportunities for innovation and efficiency.

Arcanum AI migrated its generative AI workloads from OpenAI to AWS using a two-phase model evaluation process. Open-source LLMs were tested out-of-the-box and with customized prompts, scored by experts, and evaluated against existing use cases. Amazon Bedrock provided a private network and access control for handling sensitive client data. AWS’s AI services enabled Arcanum to deploy top-performing LLMs securely in clients’ VPCs, outperforming OpenAI models while meeting security needs.

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.

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.

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 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.

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.

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.

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.