Unlocking Generative AI with Cloudera Data Platform on AWS

To scale generative AI applications and MLOps, you must manage extensive computing resources, handle large datasets, and ensure operational uptime. Cloudera on AWS provides the infrastructure and tools needed to store and coordinate the vast amounts of data that are essential to this and becomes the foundation for scaling your AI solutions. Cloudera has integrations to Amazon Bedrock making it easy to build out generative AI solutions.

Common Use Cases for Cloudera and Generative AI

• Intelligent Document Processing + Summarizer
• Marketing Personalization and Automation
• Chatbots & Knowledge Management
• Dubbing & Translation Pipelines
• Call Centers
• Recruiting
• Market Surveying & Research
• Generative BI (Business Intelligence)

Implementation

Over a 4 to 6 week period, we’ll get you up and running on Cloudera on AWS with your generative AI solution. By the end, you’ll have a pilot solution deployed in your environment that’s been designed to accomplish your objectives and demonstrate the potential of a fully scaled architecture.

Design Workshop (1-2 weeks)

At the end of the design phase, you get:

• Data and infrastructure design
• Use case prioritization and roadmap
• Defined business use case
• Defined success criteria
• A proposed candidate solution for the minimum viable product
• A high-level solution architecture using AWS generative AI services and Cloudera’s on AWS
• A development plan for the Pilot Deployment
• Preliminary TCO estimates for AWS infrastructure and Cloudera services

Pilot Deployment (3-4 weeks)

At the end of our Pilot phase, you get:

• A pilot deployed in your AWS development environment
• The solution architecture documentation
• A plan to build for scale as a production-ready solution
• A refined TCO estimate for AWS and Cloudera services
• A summary of success criteria met and recommendations for “go/no-go”

Benefits

Expert Guidance: Leverage Mission Cloud's deep AWS expertise to both design the generative AI solution and set up the Cloudera environment on AWS.

Production-Grade Solutions: We focus on your long-term success by documenting the system comprehensively for future maintenance.

Scalability and Efficiency: Design and implement an infrastructure that scales with your AI projects and data operations.

Data Security: Ensure your compliance with data security and privacy regulations by leveraging Cloudera’s robust security and governance tools.