Category: HAQM Machine Learning

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 HAQM Bedrock.

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 HAQM Bedrock and SageMaker in creating innovative AI applications, highlighting the importance of choosing the right AI approach for specific business needs.

The financial services industry stands at a crossroads between speed and security. Despite the digital revolution, document-based verification remains king – creating a bottleneck that impacts both operational efficiency and fraud prevention. This paradox affects everything from payment processing to lending and insurance claims management, challenging institutions to find innovative solutions. In this blog we cover how Fortiro’s solutions streamline document verification while strengthening fraud prevention.

Over the past year, many customers have built generative AI proofs-of-concept and solutions. But now, as customers look to promote these proofs-of-concept into production and roll out these solutions across their organizations, they are increasingly becoming conscious of how their sensitive data is used and protected.
In this blog post we cover how Forcepoint Data Loss Prevention (DLP) provides a necessary layer of protection on top of guardrails and comprehensive security features provided by AWS services. This helps improve the security posture of customers implementing generative AI solutions.

Valmiki, developed by Genese Solution, is an AI-powered document generation platform. It automates workflows, minimizes errors, and ensures compliance, empowering businesses to stay competitive in today’s fast-paced market. The platform offers customizable templates, a simple interface, and scalable infrastructure to streamline document creation across departments.

Discover how Publicis Sapient’s new AI-powered marketing solution combines margin prediction and offer generation capabilities on AWS to revolutionize campaign creation. Using HAQM Bedrock and advanced LLMs, marketers can now generate data-driven, personalized campaigns in minutes instead of days, while accurately predicting campaign performance and optimizing ROI.

Discover how IBM and AWS are revolutionizing software development with their new Generative AI-powered SDLC solution. By integrating HAQM Bedrock’s capabilities, organizations can achieve up to 30% faster development time, 25% improved code quality, and 60% reduction in analysis phase time. Available now on AWS Marketplace, this solution brings standardization and efficiency to every stage of the software development lifecycle.

Infosys developed a Generative AI Assistant using AWS services to help healthcare Customer Service Representatives (CSRs) handle customer inquiries more efficiently. The solution, which leverages HAQM Bedrock and HAQM Kendra, reduced query response times to 20 seconds, achieved 75%+ resolution rates, and cut CSR training time from 3 weeks to 1 week.

This blog presents AWS Partners with an example architecture of an anti-fraud solution that combines HAQM Neptune’s graph capabilities with HAQM Bedrock’s generative AI. By showcasing this innovative architecture for near real-time fraud detection using Graph Neural Networks and natural language processing, the post aims to help partners rapidly develop customized demos and proofs of concept for customers battling increasing cyber fraud across various industries.

AWS Partners can build a successful generative AI practice by following a comprehensive 5-phase workflow that includes technical activation, solutions development, delivery activation, go-to-market planning, and continuous refinement, while maintaining a focus on responsible AI implementation across eight key dimensions to deliver value and mitigate risks.