Category: Amazon SageMaker

In today’s fast-paced digital landscape, the integration of AI in DevOps is changing how organizations balance innovation with compliance requirements. Generative AI tools have enhanced developer productivity, with estimates suggesting up to 45% improvement in efficiency, while creating new challenges for quality control and regulatory compliance. Through solutions like SpiraTeam from Inflectra, organizations can now leverage AI to modernize their quality and compliance processes while maintaining rigorous safety standards, particularly crucial for regulated industries like healthcare, finance, and utilities.

Adobe Experience Platform, AWS, and Merkle’s Bring Your Own Model (BYOM) accelerator are transforming customer experience personalization at scale. This integration combines AEP’s data foundation, AWS’s enterprise AI capabilities, and Merkle’s ML model integration to deliver highly targeted customer experiences. The solution enables organizations to reduce implementation costs by 60% while leveraging custom ML models and generative AI for enhanced customer engagement

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.

Discover how Excelfore’s revolutionary Edge AI solution transforms connected vehicle data management, reducing transmission loads by 70% while capturing critical anomalies in real-time. Learn how this AWS-powered technology enables automotive OEMs to unlock the full potential of vehicle data for continuous improvement, making the future of connected vehicles a reality today.

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.

This blog presents AWS Partners with an example architecture of an anti-fraud solution that combines Amazon Neptune’s graph capabilities with Amazon 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.

The integration of artificial intelligence (AI) technologies is rapidly gaining momentum across various industries, offering a variety of business advantages. However, without implementing robust AI security measures, organizations may face substantial risks, including model poisoning and sensitive data breaches. Learn how Orca Security provides effective strategies to mitigate and prevent these potential threats.

Amazon SageMaker is a unified platform that combines various AWS services into a single, integrated experience supporting data analytics and AI workloads. This post highlights the next generation Amazon SageMaker and its new features, including a Unified Studio, Lakehouse, and enhanced governance tools, which aim to streamline the entire data and AI workflow. It also provides insights into how AWS Partners can leverage Amazon SageMaker to enhance their solutions.

Learn how PwC leverages AI and AWS services to build a next-generation managed cloud service platform that addresses critical challenges in cloud management. Discover how this solution enhances threat detection, security posture management, and operational efficiency while ensuring compliance and cost optimization across cloud environments.