AWS Partner Network (APN) Blog
Tag: AWS AppSync
How Axrail Built an AI-Powered Automated Reply System for Users’ Customer Service Queries
Customer service agents communicate with many individuals using channels such as inbound and outbound calls, emails, chats, and social media messaging. For channels like email or social media messaging, there is typically a target timeframe within which the agent needs to reply to the customer. Learn about an AI-powered solution called Smart Reply developed by Axrail, an AWS Advanced Tier Services Partner that provides outcome-based digital transformation through analytics and application modernization.
Capgemini’s Edge-Capable Targeted Campaigns for Popup Stores Using Deep Learning
As direct to customer (D2C) gains popularity among retailers, there’s an increasing need to mix online and offline experiences to improve customer engagements and sentiment. One such popular channel is popup stores. This post explores a Capgemini solution that uses Amazon Web Services (AWS) to help retailers engage with customers in a smart way. The solution leverages deep learning to enhance the customer experience through gamification and provides key insights and marketing leads to retailers.
How Validus Built a Bloomberg Real-Time Market Data Integration on AWS in a Week
The increase in market uncertainty over the last couple of years has demonstrated the need for market participants to have a dynamic view of the risks and impacts due to market moves on their portfolios. This post explores how Validus, a leading independent technology-enabled financial services firm, built a Bloomberg real-time market data integration using serverless managed services on AWS.
How Storm Reply Enables Industrial IoT and Predictive Maintenance at Schenck Process Group with AWS IoT
Learn how Storm Reply used AWS IoT services to implement a solution that is highly scalable, easy to maintain, and optimized to satisfy custom requirements for Schenck Process Group, a global market leader in measurement and process technology. Storm Reply’s approach is to pair the edge device capabilities of AWS IoT Greengrass with the storage and processing power of AWS and pairing these tools with a custom, high-quality web application.
Best Practices from OST for Optimizing IoT Cloud Platform Costs and Performance on AWS
When working with an IoT solution and expertly crafted architecture, new features can be implemented in record time, giving your product a real competitive edge. IoT platform managers continually strive to update and evolve platforms, and the largest pain point is cost. Open Systems Technologies (OST) shares best practices to get your IoT solution running efficiently without sacrificing opportunities for new growth.
Montoux’s AI-Driven Decision Science Platform Transforms Actuarial Model Replication
Montoux’s next-generation decision science platform for insurers uniquely combines actuarial and data science in its software, providing a modern, flexible, and sophisticated alternative to legacy actuarial software. Learn how the AI-driven model replication module is specifically developed to support an insurer’s transition to cloud and reduces the time, cost, and effort required to migrate to a new platform.
Building an Interactive Sales Portal for Automotive Using AWS Microservice Architecture
Businesses that adopt the cloud without transforming their operation model may not realize the full benefits. IT organizations need to transform traditional workloads and operation methods to be native dwellers of the public cloud. This does not come without cost and effort, however, and it must be balanced with the overall total cost of ownership and available resources. Learn about DXC Technology’s approach to cloud operation excellence through a Cloud Automated Operation Model.
How Capgemini Uses AWS IoT to Monitor Farmland Through Agricultural Insights
Current methods to increase farming yields include the application of chemical fertilizers and the widespread use of pesticides. Capgemini believes in sustainable IT solutions and developed “Smart Hub Cropping” which checks precipitation in the farming fields, combines weather data from the government, and analyzes agricultural data to provide farmers with actionable insights and automation of the irrigation process. All of this is aligned to the most needed farmer experience of higher crop yield.