AWS Partner Network (APN) Blog
Tag: AWS Competency Partners
Accelerating Time-to-Compliance in HCLS Through Automated FDA Forms Processing with AI on AWS
In the healthcare and life sciences (HCLS) sector, companies are required to strictly comply with regulatory statutes. It’s crucial to ensure products and services are not just developed but also manufactured and distributed in accordance with the most stringent standards. Learn how Provectus aided PSC Biotech in integrating AI/ML and automation into the document processing pipeline, a critical step towards achieving its objective of delivering the highest standard of regulatory compliance services.
State Farm Increases Efficiency and Optimization by Integrating Control-M with AWS Mainframe Modernization Service
State Farm, a leading insurance company, is leading the way in modernizing its mainframe application. By embracing the cloud and adopting robust workload automation tools, State Farm achieved greater agility and operational efficiency while delivering an enhanced customer experience. This modernization journey highlights the transformative power of cloud computing and intelligent workload automation in today’s competitive business landscape.
Automating the Know Your Customer Process Using Capgemini’s AI-Powered Solution on AWS
Financial institutions use “Know Your Customer” (KYC) as the process of identifying and verifying a customer’s identity prior to providing any financial service. Learn how Capgemini’s KYC solution helps institutions automate identity documents validation, extraction of information present in them, and forgery detection using AI. It provides customers an extensible automated solution for validating government-issued documents, while reducing the overall time and manual intervention required to onboard customers.
Best Practices from Eviden, an Atos Business, for Migrating to VMware Cloud on AWS
VMware Cloud on AWS allows customers to migrate VMware vSphere-based workloads to a VMware-managed SDDC running on AWS. But what’s the best way to manage migrating to AWS while minimizing disruption and maximizing return on investment? Learn how the “Eviden Approach” of addressing cloud migrations to VMware Cloud on AWS has been specifically developed and optimized to address complex cloud migrations.
How to Scale Data Tokenization with AWS Glue and Protegrity
It can be challenging for companies to consolidate data from multiple sources into one system, which is why many use AWS Glue to build ETL workflows to load their data into data lakes. Learn how AWS has collaborated with Protegrity to enable organizations with strict security requirements to protect their data while being able to obtain the powerful insights. We’ll demonstrate how data tokenization for data in transit is performed using Protegrity’s Cloud API and AWS Glue.
How Advanced Accelerated Migrations to SaaS by Using AWS Step Functions
Advanced Care Cloud is a SaaS solution running on AWS that provides care organizations of different sizes with the power to effectively manage their entire business from anywhere, at any time. Learn how Advanced used AWS Step Functions to orchestrate the solution’s onboarding process and data migration activities. We’ll also discuss the benefits Advanced achieved by leveraging Step Functions rather than building custom orchestration capability.
Building Customer 360 Experiences Through Secure, Zero-Copy Data Collaboration Using AWS Clean Rooms
To fully engage with customers and produce meaningful experiences, creating a 360-degree view of them is essential. The information needed to build this view requires internal and external sources of data. Learn about the concept of data clean rooms and how AWS Clean Rooms helps customers and their partners more easily and securely collaborate and analyze their collective datasets—without sharing or copying one another’s underlying data.
Give Your Graph Workload a Cost-Performance Boost with Neo4j and AWS Graviton
AWS Graviton processors are designed to deliver the best price performance for your cloud workloads running in Amazon EC2 and the most cost-effective and performant choice for graph database workloads running Neo4j. Tests have shown that deploying Neo4j with AWS Graviton-based instances results in cost savings of up to 15% as well as a boost for write performance of up to 146% over equivalent Intel-based instances.
Transforming Manufacturing Using Seamless IoT and Optimized Operations on AWS with Syntax
Manufacturing customers face the challenge of deriving insights from their shopfloor to enhance business decisions and production processes. Learn how Syntax’s Synsights platform powered by AWS enables integration of IoT data with manufacturing execution systems and enterprise resource planning systems like SAP. Syntax Synsights offers a pre-built solution that can be tailored to specific customer requirements, thus saving time, effort, and money while boosting ROI.
How Accenture Reimagines Supply Chain Operations Using SynOps for Supply Chain on AWS
Many organizations have stitched together a set of siloed functional and technical supply chain systems to solve their business problems, but some lack traceability and transparency across the end-to-end value chain. Learn how Accenture’s SynOps for Supply Chain on AWS addresses these challenges by offering a fully integrated solution which brings traceability and transparency to the decision-making process.