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AI agents are transforming the landscape of customer support by bridging the gap between large language models (LLMs) and real-world applications. These intelligent, autonomous systems are poised to revolutionize customer service across industries, ushering in a new era of human-AI collaboration and problem-solving. By harnessing the power of LLMs and integrating them with specialized tools …

Automate customer support with Amazon Bedrock, LangGraph, and Mistral models Read More »

As organizations embrace generative AI, they face critical challenges in making sure their applications align with their designed safeguards. Although foundation models (FMs) offer powerful capabilities, they can also introduce unique risks, such as generating harmful content, exposing sensitive information, being vulnerable to prompt injection attacks, and returning model hallucinations. Amazon Bedrock Guardrails has helped …

Build responsible AI applications with Amazon Bedrock Guardrails Read More »

Customers are increasingly using generative AI to enhance efficiency, personalize experiences, and drive innovation across various industries. For instance, generative AI can be used to perform text summarization, facilitate personalized marketing strategies, create business-critical chat-based assistants, and so on. However, as generative AI adoption grows, associated costs can escalate in several areas including cost in …

Effective cost optimization strategies for Amazon Bedrock Read More »

E.ON—headquartered in Essen, Germany—is one of Europe’s largest energy companies, with over 72,000 employees serving more than 50 million customers across 15 countries. As a leading provider of energy networks and customer solutions, E.ON focuses on accelerating the energy transition across Europe. A key part of this mission involves the Smart Energy Solutions division, which …

How E.ON saves £10 million annually with AI diagnostics for smart meters powered by Amazon Textract Read More »

Learn how Google Research’s team worked with collaborators at HHMI Janelia and Harvard University to build a dataset that tracks both the neural activity and nanoscale s… ​ 

Voice AI is transforming how we interact with technology, making conversational interactions more natural and intuitive than ever before. At the same time, AI agents are becoming increasingly sophisticated, capable of understanding complex queries and taking autonomous actions on our behalf. As these trends converge, you see the emergence of intelligent AI voice agents that …

Building intelligent AI voice agents with Pipecat and Amazon Bedrock – Part 1 Read More »

Multi-channel transcription streaming is a feature of Amazon Transcribe that can be used in many cases with a web browser. Creating this stream source has it challenges, but with the JavaScript Web Audio API, you can connect and combine different audio sources like videos, audio files, or hardware like microphones to obtain transcripts. In this …

Stream multi-channel audio to Amazon Transcribe using the Web Audio API Read More »

This is a guest post co-authored by Evan Miller, Noah Kershaw, and Valerie Renda of Kepler Group At Kepler, a global full-service digital marketing agency serving Fortune 500 brands, we understand the delicate balance between creative marketing strategies and data-driven precision. Our company name draws inspiration from the visionary astronomer Johannes Kepler, reflecting our commitment …

How Kepler democratized AI access and enhanced client services with Amazon Q Business Read More »

Meet the 20 organizations using generative AI to address tough societal issues. ​ 

Extract, built with Gemini, uses the model’s advanced visual reasoning and multi-modal capabilities to help councils turn old planning documents—including blurry maps an… ​