Sold by: DiUSÂ
Accelerate your AWS data modernisation journey with DiUS's hands-on implementation of foundational data pipelines. This collaborative engagement delivers immediate business value through working AWS-native data pipelines while enabling your team to extend these patterns independently, creating the foundation for advanced analytics and AI/ML capabilities.
Overview
The DiUS Data Modernisation Sprint for AI/ML Acceleration is a focused engagement that establishes the essential building blocks for data modernisation and AI/ML readiness on AWS. Our expert team works side-by-side with your organisation to implement several high-value data pipeline patterns that form the cornerstone of a modern data architecture.
During this engagement, DiUS delivers comprehensive AWS data architecture aligned with best practices, infrastructure-as-code foundations for scalable data operations, and fully implemented data pipelines. These reusable templates and patterns provide immediate operational value while equipping your team with the knowledge to extend the solution independently. The accelerator includes an optional small-scale AI/ML proof of concept using Amazon Bedrock or SageMaker, demonstrating how your modernised data foundation can power intelligent applications.
The DiUS Data Modernisation Sprint for AI/ML Acceleration is ideal for organisations seeking to break free from legacy data constraints without committing to a lengthy platform rebuild. Our collaborative approach delivers tangible results while building your team's capabilities through hands-on knowledge transfer and comprehensive documentation. Whether you choose to extend the solution independently or continue partnering with DiUS, you'll have a solid foundation for your data modernisation journey.
Highlights
- Fast-track data modernisation with expert implementation of AWS-native data pipelines, creating immediate business value through improved data flows while establishing patterns your team can replicate independently.
- Benefit from DiUS's proven methodology combining architectural expertise, hands-on implementation, and collaborative knowledge transfer—all delivered by a team of cross-functional SME consultants.
- Build the foundation for AI and advanced analytics with properly structured data pipelines, including an optional AI/ML proof of concept using Amazon Bedrock or SageMaker that demonstrates how your modernised data can power intelligent applications.
Details
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Delivery method
Deployed on AWS
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Support
Vendor support
For support or any other questions, please don’t hesitate to get in touch with us: info@dius.com.au .