Learn how AWS continues to innovate by leveraging process automation, AI, ML, and IoT to build additional functionality to help your business.
“When you have a period of discontinuity like a pandemic, companies take a step back and they rethink what they’re doing,” said incoming AWS CEO Andy Jassy at the AWS re:Invent 2020 in December 2020.
Amazon Web Services (AWS) continues to innovate and reinvent itself by leveraging process automation, AI, ML, and IoT to build additional functionality. Here are just a few of the ways that businesses are using AWS robotic process automation for better data analysis and business insights.
- Amazon Connect Services
AI can transcribe a phone call in real time and perform sentiment analysis, then describe mitigation steps or automatically escalate calls. - Amazon ComprehendUsing Natural Language Processing (NLP) and machine learning, Amazon Comprehend finds relationships in text. Its data sentiment analysis tool analyzes text for sentiment, language, syntax, and key phrases.
- Amazon Outposts Edge
Amazon Outposts is shifting workloads to the edge with an on-premises box. Amazon Outposts architecture extends the AWS infrastructure, services, APIs, and tools to virtually any data center, colocation space, or on-premises facility for a consistent hybrid experience. - AWS CloudFormation Modules
With AWS CloudFormation, you can define your infrastructure and apps using modules. These modules are reusable building blocks that encapsulate resources and configurations that can be applied across an organization. Many of the modules are being built and available through the open-source developer community. - AWS Lambda
AWS Lambda allows organizations to run code without provisioning or managing servers. You can run code on nearly any type of backend service or application without administration. You upload the code and AWS takes care of everything else to run (and scale) your code with high availability. Only pay for computer time. When the code isn’t running, there’s no charge. - AWS Batch
AWS Batch allows fully managed batch processing at any scale. You can easily run hundreds of thousands of batch computing jobs simultaneously. AWS process automation dynamically provisions the resources needed based on volume and requirements of the batch jobs without human intervention. - AWS Elastic Load Balancing
AWS Elastic Load Balancing automatically distributes incoming traffic across multiple Amazon instances. This improves your fault tolerance in applications and automatically reroutes traffic to healthy instances while restoring unhealthy instances. You can balance loads across single or multiple availability zones to improve app performance. - Amazon IoT Events
As a fully managed service, Amazon IoT Events can connect a nearly unlimited number of Internet of Things (IoT) devices. AWS process automation can detect and respond to sensor and app events in real time. It avoids having to build expensive custom apps to trigger additional events.
These are just a sampling of the ways businesses can automate using AWS to improve efficiency and productivity.
If we’ve learned anything during the COVID-19 pandemic, it’s that we have to be agile in our approach. Who would have imagined the need to increase employees working remotely by 44% during 2020? It took an innovative approach to leverage cloud-based technology to make it happen.
“It is the cultural mindset,” Jassy said. “The shift of being in the digital world where you have to iterate every single day to survive.”
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Contact Laminar today to get a quote or learn more about AWS process automation.
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