Overview
We provide software development services for any given business need. We can help from the start with ideation to translating requirements to building technology solutions.
Covering the entire software development life cycle, we start with business requirements analysis to create a technical specification and a project plan.
Help to advance and operationalise the benefits of artificial intelligence
The rise in availability of computing power and massive datasets have led to the creation of new AI, models, and algorithms encompassing thousands of variables and capable of making rapid and impactful decisions. Too often, though, these capabilities work only in controlled environments and are difficult to replicate, verify, and validate in the real world.
The need for an engineering discipline to guide the development and deployment of AI capabilities is urgent. AI Engineering applies processes, tools, and best practices of how to design, build, test, deploy, operate, and evolve reliable AI systems.
Highlights
- - System requirements are driven by business needs, - Appropriate AI techniques are selected for those requirements (by using Amazon SageMaker and more), - Testing and Monitoring tools are in place to ensure that the system continues to function as desired (by using Amazon CloudWatch and more), - Processes and frameworks are in place to update and evolve the AI system as requirements or the operating environment change.
- - Faster time to market: Cloud-native provides a flexible architecture (Amazon EMR, EKS and others) that empowers companies to respond to market conditions rapidly. - Deliver better products: Cloud-native enables organizations to deliver more features faster to their customers for competitive advantage. - Flexibility to adopt best practices: A cloud-native architecture is self-healing, cost-efficient and easily maintained through continuous integration/delivery (CI/CD, AWS CodePipeline)
- - Interpret and visualise results for business stakeholders and other users easily (Amazon QuickSight and more)
Details
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Our team is on hand and ready to support your high-performance computing and ML journey. Visit https://www.equinox.is or e-mail aws@equinox.is for more information.