Join Rayson Technologies at AWS Generative AI Event in Boston: SageMaker, Bedrock & Nova

We're excited to announce that Jason Pugh, CEO of Rayson Technologies, will be representing our company at an exclusive AWS Experience event in Boston, MA focused on Generative AI on AWS: SageMaker, Bedrock, and Nova Better Together.

This is a unique opportunity for the Boston tech community and beyond to dive deep into AWS's cutting-edge generative AI services and discover how these powerful tools work together to create enterprise-grade AI solutions.

When: October 16th, 2025 | 9:00 AM - 5:00 PM EDT

Registration

What You'll Learn

This comprehensive session will explore how AWS's three flagship generative AI services work in harmony:

Amazon SageMaker - Build, train, and deploy machine learning models at scale with the industry's most comprehensive ML platform.

Amazon Bedrock - Access foundation models from leading AI companies through a single API, making it easy to build and scale generative AI applications.

Amazon Nova - AWS's latest family of foundation models designed to deliver state-of-the-art performance for multimodal understanding and generation.

Who Should Attend?

• Technical leaders evaluating AI strategies
• Data scientists and ML engineers building AI applications
• Software architects designing modern cloud infrastructure
• CTOs and engineering managers planning AI initiatives
• Developers interested in generative AI capabilities

The landscape of generative AI is evolving rapidly, and understanding how to leverage multiple AWS AI services together is becoming critical for competitive advantage. This event will demonstrate:

Real-World Applications

Learn how organizations are combining SageMaker's training capabilities, Bedrock's foundation models, and Nova's advanced features to build production-ready AI applications.

Integration Strategies

Discover best practices for architecting solutions that leverage the strengths of each service while maintaining security, compliance, and cost efficiency.

Hands-On Insights

Get practical guidance from AWS experts and partners like Quantiphi who have successfully deployed these technologies at scale.

We're proud to collaborate with Quantiphi, an AWS Advanced Tier Services Partner and member of the AWS Generative AI Partner Innovation Alliance, alongside AWS on this initiative.

• AWS's cutting-edge AI services and infrastructure
• Quantiphi's expertise in AI/ML implementation and integration
• Rayson Technologies' experience in helping mid-size companies navigate complex technology transformations

Together, we're helping organizations move from AI experimentation to production-ready solutions that deliver measurable business value.

Beyond the Hype

While many events focus on AI possibilities, this session dives into practical implementation. You'll learn about the architectural decisions, integration patterns, and real-world tradeoffs that matter when building production AI systems.

Expert-Led Discussion

With representatives from AWS, Quantiphi, and Rayson Technologies, you'll hear diverse perspectives on how these technologies work in practice—from cloud infrastructure to business application.

Interactive Format

This isn't just a presentation. Expect demonstrations, Q&A opportunities, and the chance to connect with peers facing similar AI challenges.

At Rayson Technologies, we believe successful AI adoption requires three key elements:

1. Strategic Foundation

Understanding your business objectives before selecting technology. AI for AI's sake leads to expensive pilot projects that never reach production.

Equally critical is establishing data consolidation through sources of truth and robust data governance. Without well-defined sources of truth for your business-critical data, AI initiatives struggle with conflicting information, poor data quality, and unreliable outputs. Effective data governance ensures that your AI models are built on trustworthy, well-organized, and compliant data—transforming your data infrastructure from a liability into a strategic advantage.

2. Architectural Excellence

Building on proven patterns that leverage cloud-native services effectively. The right architecture makes the difference between a proof of concept and a scalable solution.

3. Practical Implementation

Moving from strategy to execution with partners who understand both the technology and your business context.

This event embodies these principles—showing not just what's possible, but how to make it happen.

• Learn from AWS, Quantiphi, and Rayson Technologies experts
• Discover how SageMaker, Bedrock, and Nova work together
• Network with peers tackling similar AI challenges
• Get your questions answered by practitioners who've been there

Register for the Event

Whether you're just beginning your AI journey or looking to scale existing initiatives, we'd love to connect at the event. Jason Pugh and the Rayson Technologies team will be available to discuss:

• AI strategy and roadmap development
• Data architecture for AI/ML workloads
• AWS service selection and integration
• Moving from pilot to production
• Building internal AI capabilities

Can't make the event? No problem. Reach out to us directly to learn how Rayson Technologies can help you leverage AWS's generative AI services to drive business value.

The convergence of SageMaker, Bedrock, and Nova represents a significant leap forward in accessible, enterprise-grade generative AI. We're excited to share insights on how mid-size companies can leverage these services without the complexity and cost typically associated with cutting-edge AI.

We hope to see you there!

Rayson Technologies specializes in helping mid-size companies navigate complex technology transformations, from data architecture to AI implementation. As an AWS partner working alongside companies like Quantiphi, we bring enterprise-grade expertise to organizations ready to move beyond proofs-of-concept. Learn more about our AI services.