Artificial Intelligence
Category: Customer Solutions
Improve conversational AI response times for enterprise applications with the Amazon Bedrock streaming API and AWS AppSync
This post demonstrates how integrating an Amazon Bedrock streaming API with AWS AppSync subscriptions significantly enhances AI assistant responsiveness and user satisfaction. By implementing this streaming approach, the global financial services organization reduced initial response times for complex queries by approximately 75%—from 10 seconds to just 2–3 seconds—empowering users to view responses as they’re generated rather than waiting for complete answers.
Accelerating data science innovation: How Bayer Crop Science used AWS AI/ML services to build their next-generation MLOps service
In this post, we show how Bayer Crop Science manages large-scale data science operations by training models for their data analytics needs and maintaining high-quality code documentation to support developers. Through these solutions, Bayer Crop Science projects up to a 70% reduction in developer onboarding time and up to a 30% improvement in developer productivity.
How INRIX accelerates transportation planning with Amazon Bedrock
INRIX pioneered the use of GPS data from connected vehicles for transportation intelligence. In this post, we partnered with Amazon Web Services (AWS) customer INRIX to demonstrate how Amazon Bedrock can be used to determine the best countermeasures for specific city locations using rich transportation data and how such countermeasures can be automatically visualized in street view images. This approach allows for significant planning acceleration compared to traditional approaches using conceptual drawings.
Transforming network operations with AI: How Swisscom built a network assistant using Amazon Bedrock
In this post, we explore how Swisscom developed their Network Assistant. We discuss the initial challenges and how they implemented a solution that delivers measurable benefits. We examine the technical architecture, discuss key learnings, and look at future enhancements that can further transform network operations.
Advancing AI agent governance with Boomi and AWS: A unified approach to observability and compliance
In this post, we share how Boomi partnered with AWS to help enterprises accelerate and scale AI adoption with confidence using Agent Control Tower.
How SkillShow automates youth sports video processing using Amazon Transcribe
SkillShow, a leader in youth sports video production, films over 300 events yearly in the youth sports industry, creating content for over 20,000 young athletes annually. This post describes how SkillShow used Amazon Transcribe and other Amazon Web Services (AWS) machine learning (ML) services to automate their video processing workflow, reducing editing time and costs while scaling their operations.
NewDay builds A Generative AI based Customer service Agent Assist with over 90% accuracy
This post is co-written with Sergio Zavota and Amy Perring from NewDay. NewDay has a clear and defining purpose: to help people move forward with credit. NewDay provides around 4 million customers access to credit responsibly and delivers exceptional customer experiences, powered by their in-house technology system. NewDay’s contact center handles 2.5 million calls annually, […]
How Anomalo solves unstructured data quality issues to deliver trusted assets for AI with AWS
In this post, we explore how you can use Anomalo with Amazon Web Services (AWS) AI and machine learning (AI/ML) to profile, validate, and cleanse unstructured data collections to transform your data lake into a trusted source for production ready AI initiatives.
An innovative financial services leader finds the right AI solution: Robinhood and Amazon Nova
In this post, we share how Robinhood delivers democratized finance and real-time market insights using generative AI and Amazon Nova.
How Apollo Tyres is unlocking machine insights using agentic AI-powered Manufacturing Reasoner
In this post, we share how Apollo Tyres used generative AI with Amazon Bedrock to harness the insights from their machine data in a natural language interaction mode to gain a comprehensive view of its manufacturing processes, enabling data-driven decision-making and optimizing operational efficiency.









