Category: Best Practices

In the last few years, marketers have faced challenges due to changes in traditional analytics tracking, privacy regulations, and tracking limitations by browsers and operating systems. In this blog post, learn the importance of building greater ownership of customer data through zero-party and first-party data, as well as the potential for second-party data partnerships. The combined expertise of AWS and Slalom can help companies navigate this marketing transformation by providing purpose-built solutions and a strategic, customer-centric approach.

Discover how AWS Partner Softchoice helped a Canadian automotive intelligence company successfully modernize their Microsoft workloads on AWS in just six months. Learn about their proven approach to migration, modernization, and operational readiness that can help your organization achieve similar results.

Foundation models offer a major breakthrough in the ability to rapidly prototype new AI applications. However, for many businesses building generative AI applications, a key challenge is refining these applications to be production quality. In this post, we cover how you can leverage tools from Databricks and Amazon Web Services (AWS) to address this challenge.

By Milan Thanawala – Global Head for Database, Partner GTM – AWSBy Ryan Gross – Head of Data & Applications – CaylentBy Mark Olson – Portfolio CTO – Caylent Introduction Organizations are increasingly adopting generative AI applications, which require efficient storage and retrieval of high-dimensional vector representations of data. Traditional databases are not well-suited for […]

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 how Virtusa, an AWS Premier Tier Services Partner, leverages generative AI through their Helio platform to modernize legacy applications. Using Amazon Q Developer Agent and Amazon Bedrock, Virtusa automates code transformation and documentation, enabling faster Java upgrades and mainframe migrations while reducing modernization costs and complexity.

The AWS Ambassador Program is a vibrant worldwide community of AWS experts, known as AWS Ambassadors, from AWS Partner Network (APN) Services and Software Partners. AWS Ambassadors are recognized as influential AWS professionals in supporting and driving their organization’s AWS proficiency and sharing their thought leadership with the broader community. AWS Ambassadors possess and maintain […]

This blog post explores a scalable architecture for centralized log monitoring in multi-region, multi-account AWS environments. The proposed solution leverages AWS CloudWatch account-level subscription filters to efficiently deliver logs from various sources to Grafana Cloud, a unified platform for log analysis, visualization, and alerting. By consolidating logs from disparate sources, organizations can gain improved visibility, streamline troubleshooting, enhance security and compliance, and optimize performance across their cloud infrastructure. The article provides a detailed overview of the architecture, highlighting the benefits of this approach and guiding readers on implementing this scalable log delivery solution.

Snyk, an AWS Partner, offers a developer-first approach to application security by empowering teams to find and fix vulnerabilities throughout the software delivery lifecycle. By integrating with Amazon EventBridge, Snyk enables real-time event monitoring and automated processes, unlocking a new era of event-driven security that empowers both security teams and developers to work more efficiently and effectively.

As AI governance becomes a pressing necessity, Domino Data Lab, in partnership with AWS, is bridging the gap between abstract policies and actionable practices. Domino’s Enterprise AI Platform on AWS empowers organizations to innovate confidently and responsibly by seamlessly integrating effective governance throughout the AI lifecycle, mitigating risks while driving business value.