Overview
At the heart of our AI Innovation Engine, powered by AWS, is a commitment to innovation and customer-centric problem-solving. Our team begins each engagement by working backward from your business challenges to identify unique opportunities and prioritize these use cases based on potential value. We use a continuous innovation framework and a suite of purpose-built AWS analytics tools to validate and refine your tailored AI solutions to ensure they directly address your business needs.
Our AI Innovation Engine is specifically designed for organizations fully committed to developing multiple high-impact AI solutions that can reshape operations and foster a culture of transformative innovation. Leveraging our deep expertise with AWS AI technology, such as Amazon Bedrock and SageMaker, we will work closely with you to design, develop, and deploy AI applications that drive real business outcomes.
As our partnership evolves, so does our support. We adapt to your changing requirements and expand our skills to continuously deliver excellence in innovation and production. Through our time-tested AI frameworks and AWS technical accelerators, we will collaborate closely with your teams to assess, architect, and accelerate the creation of sustained business value, turning ideas into impact.
Key Activities
- Prioritize - Construct a cross-functional idea funnel to rank potential use cases by value and feasibility.
- Prove - AWS-certified AI experts prompt, tune, train, test, and refine use cases against your goals to validate the expected value.
- Produce - Operators take proven experiments from the lab into production, adding automation and operational guardrails.
Highlights
- Available in six or twelve-month options. When your commitment ends, you can renew for a new term or wait until you need help again. Maximize value delivered through short sprints and continuous prioritization.
- Eliminate expertise obstacles with custom teams of architects, engineers, and strategists specializing in AI, data, applications, and infrastructure practice areas. Build organizational AI fluency through experience and collaboration. Build organizational AI fluency through experience and collaboration.
- Manage AI experimentation through a centralized innovation engine while ensuring successful use cases make it to production. Complement your AI platform readiness with our data engineering or AWS foundation services.
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