Category: Amazon SageMaker

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.

By Chee How Lim, CEO – Tapway Marouane Sefiani, Sr. Partner Solutions Architect – IoT Vasileios Vonikakis, Sr. Partner Solutions Architect – AIML Tapway Computer Vision (CV) models are algorithms trained to recognize patterns in images and videos. In order for them to maintain high accuracy as visual environments evolve, they need to be updated […]

In this blog, you’ll learn how Neurons Lab, an AWS Advanced Tier Services Partner, collaborated with Peak Defence to automate compliance processes using Amazon Bedrock with Anthropic Claude 3 model and Amazon Sagemaker. The generative AI solution streamlines cybersecurity audits and RFP responses, reducing time and resources required. It covers architectural considerations, operationalization with AWS services, LLM evaluation, and continuous improvement.

By Vanitha Jayasuriya, Full Stride Cloud Solution Lead, Germany – Wipro By Yedu Kuruvath, Alliances and Partner Development Lead, AI Practice – Wipro By Shaban Saddique, AWS Business Group Director, Europe – Wipro By Benson Philip, Sr Partner Development Manager, EMEA – AWS By Bindhu Chinnadurai, Sr Partner Solutions Architect, EMEA – AWS Wipro Introduction […]

Arcanum AI migrated its generative AI workloads from OpenAI to AWS using a two-phase model evaluation process. Open-source LLMs were tested out-of-the-box and with customized prompts, scored by experts, and evaluated against existing use cases. Amazon Bedrock provided a private network and access control for handling sensitive client data. AWS’s AI services enabled Arcanum to deploy top-performing LLMs securely in clients’ VPCs, outperforming OpenAI models while meeting security needs.

NextBillion.ai provides mapping solutions for enterprises, aiming to deliver precise estimated time of arrival (ETA). It developed ENZYME, a system leveraging AWS services like Amazon SageMaker to evaluate map quality and improve ETA accuracy through machine learning. By feeding industry data into custom models, ENZYME reduces the mean absolute percentage error between estimated and actual arrival times by 10-20% compared to regular maps.