Sold by: Capgemini
A Gen AI Jump Start focused on exploring a company’s readiness to develop, run and maintain generative AI and Agentic solutions in production.
Overview
The AWS Gen AI Jump Start is focused on exploring a company’s readiness to develop, run and maintain generative AI solutions in production. This Jump Start helps benchmark the organization when it comes to developing intelligent applications as compared to its industry peers and articulates an actionable roadmap.
Our approach includes:
- AI Impact and Benchmarking Assessment: Examine the key functions of the organization and identify the strengths, weaknesses, opportunities, and threats AI could pose.
- Envision the Opportunity: Using uncovered use cases, we deep dive to discover key success metrics and challenges to qualify solutions.
- Business Case Mapping: Outline prioritized use cases against value pillars, business support, operational efficiency, and innovation.
- AI Strategy and Next Steps: Create a cohesive and unified AI strategy with operating models, secure design, people, and process to deliver outcomes.
Through this approach, organizations gain actionable insights, industry benchmarks, and a clear roadmap to achieve their AI goals.
Highlights
- AI Impact and Benchmarking Assessment: a report highlighting strengths, gaps/opportunities, and risks aligned to the industry. Business Case Mapping: a risk-adjusted matrix of key AI and Agentic opportunities, taking into account IT landscape assets and future enablement needs. AI Strategy and next steps: build governance, operating model, RACI for multiple functions, etc.
- The AWS services utilized include Amazon SageMaker, Amazon QuickSight, AWS Bedrock, AWS Lambda, AWS Glue, Amazon Redshift, AWS IAM, and AWS CloudFormation.
- This approach drives the adoption of AWS services, providing actionable insights, industry benchmarks, and a clear roadmap to achieve AI goals.
Details
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Delivery method
Deployed on AWS
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Pricing
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