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.
Why work with an AWS Data Foundation Partner
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Expertise and Experience
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.
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Accelerated Time-to-Value
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.
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Ongoing Support and Optimization
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.
Partners can meet you where you are on your data and generative AI journey
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Step 1: Ideate
- Define business objectives and goals
- Shortlist most promising use case for generative AI
- Align stakeholders
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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
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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
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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.
- Design and build an end-to-end data foundation
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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
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Step 6: Optimize and Scale
- Implement comprehensive DataOps, LLMOps and Governance controls
- Optimize for scale and performance
- Establish continuous improvement cycles
Partners can meet you where you are on your data and generative AI journey
-
Step 1: Ideate
- Define business objectives and goals
- Shortlist most promising use case for generative AI
- Align stakeholders
-
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
-
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
-
Step 4: Modernize and Build
- Design and build modern data foundation
- Establish data and AI governance framework
- Build generative AI application, and select LLM model and supporting infrastructure
-
Step 5: Productionize
- Build production grade data foundation and generative AI apps
- Create data pipelines for High Quality Data Flow
- Assess and address compliance and technical risks
- Document Business as Usual activities
-
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
- Partner name (A-Z)
AWS Generative AI Competency Partner Solutions
AWS Marketplace helps organizations discover, procure, experiment with, provision, and govern third-party software, data, and services. From FMs to tooling, applications to consultants and third-party data, find a generative AI solution provider to kick-start your transformation journey.
- By popularity
- Product name (A-Z)
A comprehensive strategy to transform your organization’s data and AI capabilities, driving business growth and innovation.
Position your data as the critical differentiator in your AI journey, leveraging generative AI to transform more of your content into strategic data assets.
Fuel your GenAI applications and drive AI-powered innovation with a well-governed, resilient modern data foundation.
Enhance decision-making, operational efficiency, and customer experiences with a scalable, secure, and compliant data architecture.
AI Data Readiness (AIDR) approach is a tool for assessing data readiness in preparation for AI and gen AI implementations.
By modernizing your data foundation, you'll unlock advanced analytics, AI, and machine learning capabilities, enabling faster, data-driven decision-making and operational efficiency.
Transition GenAI and AI products from POCs to scalable implementations, enacting necessary organizational changes, building required foundational infrastructure, and executing concepts and governance.
Prepare your data foundation and harness the power of artificial intelligence to optimize efficiency, improve customer experience and enhance decision-making to unlock new opportunities with Grid Dynamics and AWS.
An AI-first offering with set of services, solutions, and platforms to get enterprises "Data ready for AI."
LUMIQ helps customers drive Gen AI innovations through a scalable, secure and future ready data foundation. Using our cutting-edge products and services we enable them unlock the full potential of their data.
Achieve 80% faster GenAI adoption at just 20% of the cost with Mactores’ automated, scalable Data Foundation.
Unlock Gen AI's potential by building robust data ecosystems on AWS. Our Data Foundation solution elevates your AI capabilities while managing risks and governance.
Quality of your data trumps the sophistication of your algorithms every time. Clean, relevant, and accessible data is the foundation of any successful AI initiative.
Enabling you to provide integrated, trusted and timely data upon which various analytics and AI initiatives can be built.
A data foundation accelerator framework that sets up a pathway to data driven AI transformation leveraging AWS native services.
Systematic approach to enterprise data that accelerates gen AI projects and lays the foundation for other data and analytics initiatives.
Translating data into asset enables customers with a transformative force that can power AI-driven decisions and generate insights to foster innovation. Accelerate data estate modernization through contextual solution offerings ensuring data quality and enforcing a strong governance across data lifecycle.
Expert guidance for building and maintaining a robust data foundation for gen AI solutions on AWS.