Category: Amazon SageMaker

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.

By Imtranur Rahman, Senior Solutions Architect — AWS Jaya Padma Mutta, Manager, Solutions Architects – AWS Channa Basavaraja, Senior Solutions Architect — AWS Manju Arakere, Senior Solutions Architect — AWS Generative AI (Gen AI) is a game-changer, augmenting human creativity, driving innovation, and boosting productivity. It offers a competitive edge across industries, necessitating new strategies, […]

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.

Learn about how CrowdStrike is using AWS AI capabilities to transform security operations. By partnering with AWS, CrowdStrike is able to accelerate analyst workflows, deliver AI-native protection to thousands of organizations of all sizes and industries, and to deliver world-class protection that matches the speed, scale and sophistication of modern adversaries.

Wipro’s Intelligent Financial Fraud Detection (IFFD) solution, built on AWS, leverages advanced AI and machine learning to predict and prevent emerging fraud threats in real-time. By accurately identifying suspicious activities and empowering customers with real-time transaction verification, IFFD helps financial institutions protect vulnerable clients and enhance their overall compliance posture.

Freshworks’ cutting-edge AI offering, called Freddy AI, is powered by CloudVerse, a platform component that provides AIaaS. CloudVerse, developed in collaboration with AWS, enabled Freshworks to accelerate building generative AI applications on AWS. Read on to learn more about how AWS enabled Freshworks to leverage AIaaS offerings and helps them stay ahead of the curve with various services, including Amazon EKS, AWS Lambda, and Amazon Bedrock.

Learn more about the Next-Gen Digital Analytics, a solution built on Amazon Web Services, using Snowplow and Snowflake. This joint solution empowers organizations to unlock the untapped value of customer behavioral data. It improves data quality, governance, and real-time activation within their AWS environment. By implementing this solution, customers can supercharge the use of Artificial Intelligence (AI) and generative AI adoption to help address key business objectives, such as user acquisition, retention, and customer lifetime value.