AWS Cloud Innovation
Leverage AWS to accelerate your transformation and innovation.
Are you ready to transform?
Once you have optimized your AWS environment, the next step is to transform your organization to speed up your time to market and increase innovation. By leveraging advanced AWS services such as Machine Learning, IoT and microservices, you can begin to use technology as a force-multiplier in your organization.
As part of our AWS Cloud Innovation engagement, we work with your teams to develop use cases for leveraging advanced AWS capabilities and help transform your organization.
AWS Cloud Innovation
What is an AWS Cloud Innovation?
Once you have begun to optimize your AWS environment, the next step is to begin leveraging the power of the many advanced capabilities AWS offers. By automating your internal processes on AWS, your teams are free to focus more on innovation and adding business value. This is where the cool stuff happens.
Start by incorporating DevOps into your organization. When applied together, AWS and DevOps can truly transform an IT organization. These two key areas affect the entire application delivery lifecycle and can dramatically increase throughput. Your teams will be able to respond more quickly to business needs and changes, provide business value early and often, and provide the reliability and scalability the business demands.
Incorporate Infrastructure as Code (IaC), microservices and containers to automate your operations for Continuous Integration / Continuous Deployment (CI/CD) of your applications. This will help lower risk, increase efficiency, and speed up your workload deployments.
And finally, define use cases to begin implementing some of the advanced AWS services such as Lambda, Rekognition, Polly, Transcribe, Translate, and Lex. These services will allow you to make more intelligent business decisions and provide a more personalized customer experience to your end users.
Our Standard AWS Cloud Innovation package includes a variety of transformational services that can be implemented on a project-by-project basis including:
- DevOps Integration
- Infrastructure as Code
- Business Intelligence
- Data Lakes
- Artificial Intelligence / Machine Learning
- Internet of Things