Category: Best Practices

Therapeutic development relies on Pharma-led clinical trials with robust endpoint data. Key decision points like patient enrichment and endpoint optimization shape trial success. Advanced analytics extract insights, aiding targeted drug development and saving time and money. BluMaiden Bioscience’s AWS platform tackles data challenges, delivering valuable clinical insights globally for efficient trial design and execution.

As the field of generative AI continues to evolve, companies are looking for ways to assess their generative AI prototypes and determine which ones derive real business value. The latest assets available through the Generative AI Center of Excellence (CoE) focuses on helping AWS Partners understand that business, opportunity by diving deep into use cases in partnership with generative AI thought leaders and CoE contributors.

In this exclusive interview for our blog, we sat down with Joaquin Lippincott, the CEO of Metal Toad, to delve into the innovative Securitoad Machine Learning Security SaaS solution. Joaquin generously shared his expertise on how they strategically built their latest offering on the AWS Marketplace. His insights offer invaluable lessons for software providers aiming to embrace this modern delivery mode.

In April, Amazon Web Services (AWS) unveiled a suite of groundbreaking features for Amazon Bedrock and Amazon Q, ushering in a new era of generative AI capabilities. Learn how AWS Partners are leveraging the latest Amazon Bedrock and Amazon Q features to transform how they build, scale, and deploy intelligent applications—unlocking unprecedented opportunities for innovation and efficiency.

By Matthijs ten Seldam, Global Program Manager – AWS Ambassador Program 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 […]

The new SaaS on AWS hub is a dynamic platform that serves as your one-stop destination for navigating the intricate landscape of building, launching, and managing SaaS applications on AWS. As you embark on your SaaS cloud journey, you’ll encounter a myriad of challenges, from crafting scalable architectures to fine-tuning performance and enhancing customer retention. SaaS on AWS is designed to accompany you through every step of this transformative process.

Fine-tuning large language models (LLMs) is crucial for leveraging their full potential across industries. Quantiphi unveils how fine-tuning supercharges LLMs to deliver domain-specific AI solutions that redefine possibilities. From personalized healthcare to precise financial predictions and streamlined legal reviews, fine-tuned models offer transformative value and unleash the power of customized, efficient, and responsible generative AI deployments.

The Synopsys.ai electronic design automation (EDA) suite on AWS harnesses AI to optimize chip design. A key component is Synopsys DSO.ai, using reinforcement learning to enhance power, performance, and area. Benefits include faster optimization, better engineer productivity, design reuse, and faster process node migration. Deploying on AWS ParallelCluster provides auto-scaling, elasticity, and fast setup for massive EDA workloads. Testing showed 20% lower power, timing closure improvements, and significant cost savings.

AWS embraces the “working backwards” approach to stay customer-focused. The Generative AI Center of Excellence (CoE) for AWS Partners applies this methodology and collects partner feedback to provide relevant insights, tools, and resources on leveraging generative AI. Recent updates to the CoE include customer research on generative AI adoption challenges, a usage maturity heatmap by industry, and five new use case deep dives covering telecom, automotive, IDP, contact centers, and financial analysts.

The AWS Well-Architected Framework provides best practices for cloud architectures across six pillars. Comprinno’s Tevico enhances the Well-Architected review experience through collaboration tools, automatic risk identification, integrated remediation planning, and a knowledge base. Key features include visual diagramming, multi-user collaboration, auto-discovery of risks, and more. With AWS integration, Tevico helps customers comprehensively evaluate their workloads and swiftly remediate high-risk issues.