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Faster value from discovery to delivery
While ML creates new possibilities for growth across industries, many organizations lack the expertise to leverage their data for ML or have the capacity to rapidly analyze the data to make informed decisions. With this relatively new discipline, some also may lack an enterprise-level maturity and strategy, and focus more on proof-of-concept and experimentation levels.
Improve operations and efficiency by exploiting the hidden value of your data via AI, ML and MLOps (ML operations) with CGI AccelerateAI360—an open-source, cloud-agnostic, end-to-end ML engineering solution. Our service manages all aspects of the ML delivery life cycle, giving your team the strategy, automation tools and microservices for moving ML solutions into production.
Greater efficiency for smarter insights
CGI AccelerateAI360 is more than just an open and advanced MLOps platform. We combine the right technology for your needs with our deep industry expertise and delivery excellence to help you:
- Accelerate the realization of value through modular ML architecture which speeds up projects from prototype to production and reduces duplication of effort
- Make faster, more accurate predictions and better-informed decisions
- Empower non-specialists to automate ML capabilities
- Increase network throughput and reduce latency
- Increase data quality by reducing human error and the need for manual data entry
Our tried and tested process will help you develop automated systems that deliver genuine business value.
Work with our experts to review your current set-up and how we can help you advance along your automation journey.
CGI AccelerateAI360 works natively in all cloud environments and can be securely deployed on your premises.
Whether you're just starting your ML journey or have deployed systems, our solution will manage the whole delivery life cycle with the automation tools you need to move ML solutions into production
You’ll be able to access insights from your data to make better decisions while reducing your operational costs.