AWS Partner Network (APN) Blog
Tag: AWS Partner Success Stories
AWS Specializations Help You Find the Right Partner for the Right Job
With more than 100,000 AWS Partners across the globe, how do you find the right partner for the right job? AWS Specializations help customers find a short list of trusted cloud partners with diverse expertise. Learn about the four programs that provide technical validation based on AWS services, workloads, use cases, industries, and managed services: Service Delivery, Service Ready, Competency, and Managed Service Provider (MSP).
Creating Smarter Conversational Experiences with Infinity Botzer on AWS
Traditional or click-based chatbots are relatively simple and provide a predetermined set of basic information or responses for users to choose from. Conversational AI bots, on the other hand, are more sophisticated and are best suited for enterprises with enormous data, ensure faster response time, and are available 24/7. Learn how to deploy bots within minutes using Infinity Botzer from LTIMindtree, and how this platform can facilitate comprehensive bot lifecycle management.
Accelerate Time to Market for AWS IoT Applications with AWS ISV Partners
If your organization requires a faster time to market for Internet of Things (IoT) applications, AWS Partners have flexible, pre-built solutions to help reduce risk while building the foundational elements that are required to deploy an IoT solution at scale. Businesses interested in deploying an IoT solution should carefully consider which AWS Partner will best fit their organization’s needs, keeping in mind a few key elements, including capabilities, tenancy, security and compliance, migration, and pricing.
Leveraging MLOps on AWS to Accelerate Data Preparation and Feature Engineering for Production
Feature engineering is a critical process in which data, produced by data engineers, are consumed and transformed by data scientists to train models and improve their performance. Learn how to accelerate data processing tasks and improve collaboration between data science and data engineering teams by applying MLOps best practices from Data Reply and leveraging tools from AWS. Data Reply is focused on helping clients deliver business value and differentiation through advanced analytics and AI/ML on AWS.
Rapid Application and Database Assessments Using migVisor by EPAM
Getting the same performance on open-source databases as you get on commercial-grade databases can be challenging. EPAM’s database assessment tool, migVisor, can play a key role in the overall migration methodology. Learn how using migVisor in combination with other AWS assessment solutions and services can help you gain a holistic view of your environment and make informed decisions to determine the feasibility of migrating your databases and correlated applications to AWS.
Leveraging the Power of Esri’s ArcGIS Enterprise on Kubernetes Through Amazon EKS
Esri‘s GIS solutions create, manage, analyze, and map various types of geospatial data. Its flagship GIS mapping software, ArcGIS, is a powerful mapping and spatial analytics technology. Learn about the deployment of ArcGIS Enterprise on Amazon EKS, a new Kubernetes architecture that further enhances the product’s scalability and resilience. It also improves manageability by reducing technical complexity, leveraging a fully cloud-native architecture that can scale to the rapidly growing demand for GIS services.
Shaping the Future of Life Sciences with ZS’s ZAIDYN Platform Powered By AWS
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.
Enabling Machine Learning Adoption with Genpact’s Analytics Maturity Meter and AWS
Organizations realize the value of data and analytics for their businesses, but not all of them have been successful in defining a mature analytics vision and strategy. By cross-leveraging experience in process management, safeguarding data, and rich analytics practices, Genpact has developed an analytics maturity assessment framework known as the Analytics Maturity Meter (AMM). Learn how this solution evaluates a company’s current capabilities in data, process, technology, talent, and enterprise leadership.
Unlock Mainframe Data with Precisely Connect and Amazon Aurora
To curb spend and unlock scale, Precisely collaborates with AWS to provide the means to synchronize mainframe data in the cloud at speed and power modern applications. Learn how Precisely Connect integrates data seamlessly from legacy systems into next-generation cloud and data platforms. Using Precisely Connect, data from sequential files, VSAM datasets, or databases such as IMS and Db2 can be transferred to Amazon RDS.
Simplifying Talent Acquisition Processes with Quantiphi and a Modern Data Strategy on AWS
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.