Overview
Future-proof your business with a bulletproof AI strategy built on AWS, seamlessly integrating Snowflake where it counts.
We help enterprise teams unlock the full power of AWS as the foundation of your Data Warehouse, Data Lake, and Application Layer—enhancing Snowflake to build scalable, secure, and lightning-fast AI infrastructure.
In just 2 days, our team surgically analyzes your AWS environment, tech stack, and operations to deliver a custom roadmap designed to:
✅ Eliminate data bottlenecks with AWS-native architecture
✅ Identify high-impact AI use cases powered by AWS services
✅ Optimize performance across your entire AWS-Snowflake ecosystem
✅ Prepare your team to deploy AI at scale using AWS best practices
🔧 AWS Products We Assess and Optimize:
Amazon S3 – Supercharge your Data Lake with scalable, secure storage that feeds Snowflake.
Amazon Redshift – Maximize hybrid analytics alongside Snowflake workloads.
AWS Glue – Build seamless ETL pipelines flowing cleanly into Snowflake.
Amazon Kinesis – Stream real-time data into Snowflake for live AI applications.
Amazon SageMaker – Operationalize machine learning with datasets from AWS and Snowflake.
AWS Lambda – Trigger automated processes directly from your AWS-powered data flows.
AWS Step Functions – Orchestrate complex workflows across AWS and Snowflake.
AWS Secrets Manager – Lock down sensitive credentials and access keys.
Amazon QuickSight – Visualize Snowflake insights with rich, interactive dashboards.
Amazon EventBridge – Connect your applications and trigger AI workflows on the fly.
🎯 What You Get:
Full technical review of your AWS-first, Snowflake-supported architecture
Gap analysis of data, workflows, and AI readiness
Tailored AI strategy aligned to your business goals
Action plan with prioritized next steps to dominate with AI
🛠 Perfect For:
Enterprises with AWS at the core of their data strategy, leveraging Snowflake where it counts
Teams aiming to accelerate AI and machine learning initiatives on AWS
Businesses looking to maximize their AWS and Snowflake investment
Highlights
- Ensures that AI initiatives are in line with the organization’s strategic goals, enhancing decision-making and resource allocation. Provides a roadmap for leveraging AI for innovation, helping the organization stay ahead in a rapidly evolving market.
- Identifies potential risks and challenges in AI adoption, allowing for better mitigation strategies. Introduces strong data governance and security measures to comply with regulations and protect against data breaches.
- Helps in identifying the most impactful areas for AI investment, avoiding wasteful spending on non-viable projects.
Details
Pricing
Custom pricing options
How can we make this page better?
Legal
Content disclaimer
Support
Vendor support
During theBlueYeti AI Readiness Assessment, customers can expect support that includes:
- Evaluating the current computational resources and capabilities.
- Discussing data storage and processing capabilities.
- Reviewing security and compliance measures.
- Assessing the current state of the organization's technical infrastructure.
- Conducting a 'Technical Infrastructure Review' session.
- Providing support for assessing data quality through a 'Data Inventory and Quality Assessment' session.
- Reviewing the existing data infrastructure.
- Discussing current data workflows and processes.
- Identifying key stakeholders and data owners.
- Identifying gaps in data collection and integration.
This support ensures that all technical aspects are thoroughly evaluated and any gaps are identified, helping organizations prepare effectively for AI integration. Support can always be reached at: support@blueyeti.us or by calling: +1 650 781-9384
Software associated with this service
