Category: Artificial Intelligence

In this post, we explain how Dynatrace provides end-to-end monitoring and visibility into generative AI applications utilizing Amazon Bedrock models allowing for comprehensive LLM observability.

GoML, an AWS Advanced Consulting Partner, collaborated with a leading Asian EdTech organization to revolutionize exam preparation through AI. Their Amazon Bedrock-powered solution helps students prepare for competitive exams like JEE Advanced, NEET, and Gaokao. The platform achieves 95% accuracy in solving complex questions while reducing student preparation time by 80%, delivering precise, step-by-step solutions that enhance learning outcomes.

Learn how to build a Generative AI assistant to simplify complex data analysis with Splunk, by converting conversational requests into optimized Splunk SPL queries for AWS security and operational logs. Built on Amazon Bedrock agents with integrated knowledge bases and action groups, this solution automatically executes queries and delivers actionable insights, democratizing access to powerful data analytics capabilities for security teams.

Customer expectations are rising, and delivering seamless, AI-enhanced support is now essential. Discover how the Accenture AWS Business Group (AABG) is transforming contact center operations with their Connected Customer Experience (CCE) offering on AWS. Learn how generative AI-driven capabilities empower agents and enhance customer interactions, driving efficiency and modernization for businesses.

Discover how Tech Mahindra’s AftEAZE, powered by AWS and generative AI, is revolutionizing the automotive aftermarket. From predictive maintenance to personalized services, this innovative solution creates win-win scenarios for both consumers and businesses, streamlining operations and unlocking new value in a multi-billion dollar industry.

The Agent AI Ally solution revolutionizes call center operations by harnessing generative AI to provide agents with real-time, contextual support and product information during customer interactions. Powered by Anthropic’s Claude 3.5 Sonnet model through Amazon Bedrock, the solution delivers instant insights and suggestions while analyzing customer responses in real-time. This comprehensive platform integrates key AWS services including Amazon Connect, Transcribe, and Kendra to create a powerful system that enhances agent performance and customer satisfaction through AI-driven assistance and efficient data processing

Discover how Capgemini and AWS collaborated to create TELme, a groundbreaking generative AI solution that revolutionizes product research and design in manufacturing. By enabling engineers to efficiently search and summarize vast repositories of technical content using natural language queries, TELme significantly reduces design lifecycle timelines and accelerates time-to-market for new products.

CSPs face offer personalization challenges due to complex portfolios. Hansen’s AI-driven Offer Lifecycle Management solution, developed in the 2024 TM Forum Catalyst, empowers CSPs to analyze offers, rationalize catalogs, and enhance their OLM process using LLMs and Amazon Bedrock.

Apiphani provides services and solutions to help organizations industrialize their data delivery and enable data-driven business through data pipeline deployment, Data Product delivery, and value scaling and realization. The approach covers technology, ways of working, and cultural changes to deliver reliable, right data for BI, ML, AI, and digital products. Companies following these methods can realize performance improvements in the near term as well as get on a path to be data and AI driven for years to come.

Metal Toad, an AWS Advanced Consulting Partner, demonstrates how to effectively leverage Generative AI and Machine Learning for business solutions. Through case studies with AlertWest and GeniusVets, they showcase the power of AWS services like Amazon Bedrock and SageMaker in creating innovative AI applications, highlighting the importance of choosing the right AI approach for specific business needs.