Generative AI Innovation Center

Open unimagined possibilities with generative AI
Start building today

Ideate, identify, and implement generative AI solutions securely

What is it?

A program that pairs you with AWS science and strategy experts with deep experience in AI/ML and generative AI techniques to:

  • Imagine new applications of generative AI to address your needs.
  • Identify new use cases based on business value.
  • Integrate Generative AI into your existing applications and workflows.

Who is this for?

  • Organizations looking for guidance selecting and experimenting with generative AI use cases.
  • Organizations looking for guidance planning, executing, and securely scaling generative AI use cases.

Why work with the Generative AI Innovation Center?

  • Identify achievable use cases for generative AI based on your business priorities.
  • Receive expert guidance to prioritize use cases, estimate business value, assess feasibility and blockers, and define a clear path to success while employing best practices.
  • Hands-on help developing solutions mapped to requirements, scaling into production, and collaborating closely with stakeholders to share knowledge.

Use cases to start exploring generative AI

  • Save time and reduce the need of repeat manual labor through text generation, summarization, and insights creation.

  • Power conversational interfaces, such as chatbots and virtual workers, enhancing end user experience.

  • Locate, cite, and synthesize information to answer end user questions from a large corpus of internal and external datasets.

  • Create novel designs and tag visual assets leveraging best-in-class techniques.

  • Create source code in multiple programming languages and power low-code/no-code applications.

  • Building applications powered by proprietary domain specific models, using generative AI services or APIs offered by foundation model providers.

How the program works

Education

AWS will conduct sessions to provide some context around generative AI, discuss the art of the possible, review AWS offerings, and learn more about your short- and long- term needs.

Workshop

AWS will conduct a workshop to discuss your generative AI use cases, share how others are leveraging generative AI and enabling their science teams, and develop an experimentation plan

Engagement

AWS will conduct an engagement to showcase the power and expanse of generative AI on AWS against a targeted use case and presenting the results to key stakeholders.

Production plan

AWS will provide an Execution Roadmap and support customers in developing production-ready generative AI use cases, including considerations for scale.

Business outcomes with generative AI

  • Our strategy and science experts will brainstorm with you to identify your best use cases for generative AI, lay out the challenges involved, and define a clear, prioritized path to success. 

  • With deep expertise in AI/ML and generative AI techniques, we’ll guide you with best practices for applying generative AI securely and optimizing machine learning operations to accelerate time to value. 

  • We’ll help you explore and understand the best foundation model candidates to meet your business objectives, including hands-on engagements such as fine-tuning foundational models to meet domain specific needs. 

  • Assistance building end-user solutions across use cases like question answering, summarization, information retrieval and distillation, content generation, and more. 

  • Our team of experts apply best practices to build ML production pipelines for data management as well as model, fine-tuning, and deployment to allow you to scale with existing foundation models on AWS.

  • Our experts will work hand-in-hand with your team throughout the project, so your developers and data scientists can use the experience to identify, build, and deploy additional capabilities across your business.

How to get started

To get started, contact your AWS Account Manager. If you do not have an AWS Account Manager, please contact Sales.

Connect with an expert

Ideate, identify, and implement generative AI solutions securely

What is it?

A program that pairs you with AWS science and strategy experts with deep experience in AI/ML and generative AI techniques to:

  • Imagine new applications of generative AI to address your needs.
  • Identify new use cases based on business value.
  • Integrate Generative AI into your existing applications and workflows.

Who is this for?

  • Organizations looking for guidance selecting and experimenting with generative AI use cases.
  • Organizations looking for guidance planning, executing, and securely scaling generative AI use cases.

Why work with the Generative AI Innovation Center?

  • Identify achievable use cases for generative AI based on your business priorities.
  • Receive expert guidance to prioritize use cases, estimate business value, assess feasibility and blockers, and define a clear path to success while employing best practices.
  • Hands-on help developing solutions mapped to requirements, scaling into production, and collaborating closely with stakeholders to share knowledge.

Use cases to start exploring generative AI

  • Save time and reduce the need of repeat manual labor through text generation, summarization, and insights creation.

  • Power conversational interfaces, such as chatbots and virtual workers, enhancing end user experience.

  • Locate, cite, and synthesize information to answer end user questions from a large corpus of internal and external datasets.

  • Create novel designs and tag visual assets leveraging best-in-class techniques.

  • Create source code in multiple programming languages and power low-code/no-code applications.

  • Building applications powered by proprietary domain specific models, using generative AI services or APIs offered by foundation model providers.

How the program works

Education

AWS will conduct sessions to provide some context around generative AI, discuss the art of the possible, review AWS offerings, and learn more about your short- and long- term needs.

Workshop

AWS will conduct a workshop to discuss your generative AI use cases, share how others are leveraging generative AI and enabling their science teams, and develop an experimentation plan.

Engagement

AWS will conduct an engagement to showcase the power and expanse of generative AI on AWS against a targeted use case and presenting the results to key stakeholders.

Production plan

AWS will provide an Execution Roadmap and support customers in developing production-ready generative AI use cases, including considerations for scale.

Business outcomes with generative AI

  • Our strategy and science experts will brainstorm with you to identify your best use cases for generative AI, lay out the challenges involved, and define a clear, prioritized path to success. 

  • With deep expertise in AI/ML and generative AI techniques, we’ll guide you with best practices for applying generative AI securely and optimizing machine learning operations to accelerate time to value. 

  • We’ll help you explore and understand the best foundation model candidates to meet your business objectives, including hands-on engagements such as fine-tuning foundational models to meet domain specific needs. 

  • Assistance building end-user solutions across use cases like question answering, summarization, information retrieval and distillation, content generation, and more. 

  • Our team of experts apply best practices to build ML production pipelines for data management as well as model, fine-tuning, and deployment to allow you to scale with existing foundation models on AWS.

  • Our experts will work hand-in-hand with your team throughout the project, so your developers and data scientists can use the experience to identify, build, and deploy additional capabilities across your business.

How to get started

To get started, contact your AWS Account Manager. If you do not have an AWS Account Manager, please contact Sales.

Connect with an expert