Category: AWS Marketplace

For pharma leaders, medtech, and health tech innovators alike, the vision of connected health hinges on organizations’ ability to stay in tune with healthcare players’ preferences, perceptions, and expectations. Doing so helps companies create seamless customer pathways and proactively model, predict, and respond to the many outcomes of a changing healthcare landscape. Learn how ZS collaborated with AWS to build an intelligent life sciences platform called ZAIDYN.

Many companies use online databases for talent sourcing, while others prefer more traditional means such as referrals or networking. Quantiphi’s cloud-native data platform facilitates the convergence of talent and recruiter performance data to provide crucial insights into the talent acquisition process. Explore the critical aspects of Quantiphi’s serverless, fully-managed ETL pipeline along with the benefits of the centralized lake house solution built on AWS in helping talent acquisition companies.

Many companies report the biggest challenge when adopting Kubernetes is a lack of in-house skills. Infrastructure as code (IaC) blueprints can mitigate these gaps by accelerating hands-on experience, providing a reproducible foundation to configure, provision, and destroy clusters easily. Learn how Sysdig launched an add-on for Amazon EKS as well as Sysdig EKS Blueprints to enable organizations to confidently deploy instrumented Kubernetes clusters using Terraform.

Getting SAP data into AWS in real-time enables insights for better business decisions, realizes competitive advantages, enhances sharing and collaboration, and improves operational performance. It also provides the opportunity to integrate data from SAP and non-SAP sources. Learn how to extract and integrate SAP data on AWS for use cases like analytics, reporting, AI/ML, and IoT in real-time, using the BryteFlow SAP Data Lake Builder on AWS.

The AWS Partner community is energized about the potential of generative AI, and we recognize there are unique considerations for bringing these applications into production for commercial use cases. Ruba Borno, VP, WW Channels & Alliances at AWS, shares why AWS Partners are an integral part in ensuring customers realize the full value of generative AI offerings. Working together, AWS and partners will be guiding the development of business innovations and solutions for customers of all sizes and industries.

Antivirus for Amazon S3 by Cloud Storage Security (CSS) is a self-hosted malware solution, installed in the customer’s AWS account so data doesn’t leave the customer’s AWS account. Learn how to easily scan your workloads using Antivirus for Amazon S3, and how to integrate malware scanning into your data ingestion pipeline. Cloud Storage Security is an AWS Security Competency Partner that helps prevent the spread of malware and locates sensitive data for applications and data lakes that use AWS manages services.

Learn how to leverage Apache Iceberg capabilities with Dremio and Amazon EMR Serverless to scale your business by keeping up with various changes to your data and analytics portfolio. Iceberg is a high-performance, open table format for huge analytical tables specifically designed to mitigate the challenges introduced by unforeseen changes observed by enterprises. Dremio is a data lake engine that delivers fast query speed and a self-service semantic layer operating directly against Amazon S3 data.

Industrial digital transformation is driving changes to the operational technology (OT) landscape, making it more connected to the internet, IT systems, and solutions. With OT/IT convergence, there is greater access to critical OT systems and increasing susceptibility to malware and ransomware. Learn how Claroty xDome and AWS Security Hub can be used for security and vulnerability monitoring, and to provide visibility of security events to teams responsible for operational monitoring.

Graph databases are useful for solving problems related to connected data, and represent data as nodes and enable organizations to uncover relationships between data that’s not possible with other approaches. Experts from AWS and Neo4j explore four types of databases and the most common applications for each: relational, document, in-memory, and graph. We’ll cover how different industries use graph databases and how they work as part of an AWS architecture.

Blockchain-based tokenization has tremendous potential to help businesses reach new customers due to the trust, fractionalization, and financial inclusion promoted by blockchain. Learn how HCLTech can help businesses simplify the tokenization journey with OBOL, a no-code/low-code, highly scalable, cost-effective, and easy-to-integrate tokenization platform that is architected to deploy on AWS. OBOL provides business users with a rich interface where they can create and use custom tokens.