AWS Partner Network (APN) Blog

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Say Hello to 129 AWS Specialization Partners Added or Returning in February

We are excited to highlight 129 AWS Partners that received new or renewed specializations in February for our global AWS Competency, AWS Managed Service Provider (MSP), AWS Service Delivery, and AWS Service Ready programs. These designations span workload, solution, and industry, and help AWS customers identify top AWS Partners that can deliver on core business objectives. AWS Partners are focused on your success, helping customers take full advantage of the business benefits AWS has to offer.

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New Generative AI Insights for AWS Partners to Accelerate Your Customer Offerings

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.

Revolutionize Your Business with AWS Generative AI Competency Partners

With the ability to automate tasks, enhance productivity, and enable hyper-personalized customer experiences, businesses are seeking specialized expertise to build a successful generative AI strategy. To support this need, we’re excited to announce the AWS Generative AI Competency—an AWS Specialization that helps AWS customers more quickly adopt generative AI solutions and strategically position themselves for the future.

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Generative AI Augments Marriott’s Cybersecurity Posture with AWS Partners Deloitte and Palo Alto Networks

Marriott’s CISO Arno Van Der Walt manages cybersecurity through a “human-centered, data-driven, technology-enabled” approach aimed at making security frictionless. Critical partnerships with AWS, Deloitte, and Palo Alto Networks leverage AI/ML to share threat data and empower “impossible” autonomous security. Together, their tri-party services provide an end-to-end platform unifying business and security data to detect threats and enable quick response.

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Unlocking Efficiency: Best Practices for AWS Partners Applying for an AWS Competency

To grow with AWS, partners can pursue Competency designations which validate an organization’s expertise through rigorous assessment by AWS experts. By meeting requirements around projects, certifications, and capabilities, partners can demonstrate their proficiency and earn an AWS specialization badge in specific industries, use cases, or workloads. Attaining an AWS Competency distinguishes partners, but the preparation process also transforms practices.

Achieving Resilient Cloud Broadcasting with Amagi CLOUDPORT on AWS

Amagi provides cloud broadcast solutions with tiered redundancy offerings to mitigate risks for broadcasters during disruptive events. Its CLOUDPORT platform supports hot, warm, and cold disaster recovery configurations spanning single/multi AWS Availability Zones and regions for varying recovery times. Exhaustive tuning, testing, and regular DR drills validate the failover capabilities aligned with broadcaster requirements for cost-effective business continuity.

Enhancing Workload Security on AWS with Zscaler Zero Trust Exchange

As organizations move to the cloud, securing workloads, applications, and data becomes critical. This post discusses using Zscaler Zero Trust Exchange to provide comprehensive cloud security. Key security capabilities highlighted include SSL inspection, data loss prevention, and URL filtering policies tailored for cloud workloads. The post provides guidance on design considerations and implementing baseline security policies within the Zscaler platform.

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How Oncoshot Built a Federated Data Platform on AWS to Accelerate Clinical Trials

While healthcare organizations understand the importance of patient data, there’s no efficient framework for secure sharing. Many retain data rather than risk exposure, resulting in siloed, inaccessible information. Oncoshot built a federated AWS platform on AWS that enables secure data exchange, connects experts with real-time patient insights to accelerate trial enrollment, and expedites potentially life-saving therapies without exposing patient data.

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How Wavicle’s QuickSight Migration Solution Accelerates Adoption of Amazon QuickSight

Many organizations want to migrate from legacy BI tools to Amazon QuickSight, but manual migration cab be costly. Wavicle’s QuickSight Migration Solution (QMS) automates and optimizes this process, analyzing existing dashboards, identifying duplication, automating conversion, and facilitating a seamless rollout. This reduces migration effort, costs, and risks so organizations can rapidly realize QuickSight’s self-service analytics, flexibility, and cost savings.

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How to Analyze Fastly Content Delivery Network Logs with Amazon QuickSight Powered by Generative BI

A content delivery network (CDN) caches content closer to users and reduces load times. Monitoring CDN performance is crucial for optimizing user experience, and this post demonstrates building an Amazon QuickSight dashboard with generative AI capabilities to gain insights from Fastly CDN logs in Amazon S3. It covers configuring real-time log streaming, using AWS Glue to catalog data, accelerating dashboard creation using natural language, and creating rich data stories for stakeholders.

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Revolutionizing the Aftermarket: Building Data Products and Unlocking Insights with AWS Analytics

Designing an ecommerce data analytics service poses challenges like data integration, quality, scalability, real-time processing, security/privacy, and visualization. Thoughtworks leverages AWS services to build data products that acquire, clean, transform, model, and visualize ecommerce data for analytics. Its systematic approach identifies sources, acquires data, cleans/stores it, models products, deploys with CI/CD, and visualizes insights in dashboards.

How Accenture’s CCE Solution Powered by AWS Generative AI Helps Improve Customer Experience

Contact centers can improve customer experiences using generative AI, which creates new content and conversations. Accenture’s Connected Customer Experience (CCE) solution incorporates AWS services to provide personalized human and AI interactions. It uses generative AI for agent assist, call summarization, and self-service FAQs. By leveraging generative AI on AWS, CCE aims to enhance agent productivity, reduce handle times, and deliver exceptional customer experiences.

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Driving Financial Accountability at the Intersection of Finance, Business, and Technology with Kyndryl FinOps

Managing cloud costs is complex without enterprise-wide visibility, and FinOps provides financial accountability to maximize investments. Kyndryl’s approach to FinOps on AWS emphasizes transparent visibility for cultural transformation through continuous optimization, cost attribution, savings recommendations, anomaly detection, and role-based access across hybrid clouds. Customers can expect up to 30% savings through Kyndryl’s cost optimization expertise.

Getting Started with Generative AI Using Hugging Face Platform on AWS

The Hugging Face Platform provides no-code and low-code solutions for deploying generative AI models on managed AWS infrastructure. Key features include Inference Endpoints for easy model deployment, Spaces for hosting machine learning apps, and AutoTrain for training state-of-the-art models without coding. Hugging Face is an AWS Generative AI Competency Partner whose mission is to democratize machine learning through open source, open science, and Hugging Face products and services.