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AWS for Data

Fuel your data-driven future with AWS Partners

Accelerate your generative AI journey and business transformation with deep technical knowledge, differentiated solutions, and proven customer success of AWS Partners.

Build an end-to-end data foundation with AWS Partners

As generative AI capabilities advance, organizations are exploring how to leverage this technology to create new products, services, and experiences. However, realizing the full potential of generative AI requires a strong data foundation that can ingest diverse data sources, and support iterative model refinement and customization techniques.

Whether it's creating hyper-personalized content, automating complex tasks, or reinventing customer experiences, a robust data foundation on AWS can help you take your generative AI ambition from prototype to production to scale quickly.

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Why work with an AWS Data Foundation Partner

Engage AWS Data & Analytics Competency, Data-Driven Everything (D2E), and Data Foundation Enabled partners to unlock your business potential. Our qualified partners bring deep expertise in AWS databases, analytics, and AI/ML services, designing custom solutions that transform your data into actionable insights. Whether you need robust data architecture or advanced analytics, our partners have the proven experience to deliver results.

Working with an AWS data foundation partner can significantly accelerate the time-to-value for you. These partners have pre-built solutions, accelerators, processes, and best practices that allow you to quickly deploy data solutions.

Data foundation partners don't just strategize, design, and build the initial solution; they also provide ongoing support and optimization services. They can help you continuously monitor, maintain, and optimize your data infrastructure and large language model (LLM) operations.

Power generative AI success with a robust data foundation

Learn how building a robust data foundation with AWS Partners is the key to powering successful generative AI deployments that drive innovation and business transformation.
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Partners can meet you where you are on your data and generative AI journey

1

Step 1: Ideate

  • Define business objectives and goals
  • Shortlist most promising use case for generative AI 
  • Align stakeholders

2

Step 2: Strategize

  • Data Foundation & AI assessment
  • Align on approach to enterprise data covering business value, technology, and governance 
  • Build business case to support investment

3

Step 3: Prototype

  • Validate right technology for business use case with data
  • Deliver minimum viable product (MVP) to end users and generate value
  • Run responsible AI assessment

4

Step 4: Modernize and Build

  • Design and build an end-to-end data foundation
  • Establish data and AI governance framework
  • Build generative AI application. Select LLM model and supporting infrastructure.

5

Step 5: Productionize

  • Build production grade data foundation and generative AI applications
  • Create data pipelines for High Quality Data Flow
  • Assess and address compliance and technical risks
  • Document Business as Usual activities

6

Step 6: Optimize and Scale

  • Implement comprehensive DataOps, LLMOps and Governance controls 
  • Optimize for scale and performance 
  • Establish continuous improvement cycles

Learn more about our partners

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