From Vision to Value: GenAI Strategy & Architecture Workshop

Unlock the full potential of Generative AI on Microsoft Azure with a full-day workshop. Backed by extensive real-world experience from enterprise GenAI projects, we bring a proven, modular reference architecture that translates strategic vision and real-world implementation—accelerating your journey from AI ambition to measurable business value.

Turning AI into Reality

• Gain the technical capabilities to realize your AI strategy
• Scaling synergies: Implement your AI use cases efficiently
• Boost performance by equipping your team with tailored AI-tools
• Make your company’s data accessible in a secure and compliant way

This workshop connects strategic intent with the practical challenges of implementation, ensuring your AI initiatives are both visionary and executable.

Enable AI-Enhanced Knowledge Access with RAG

Retrieval Augmented Generation (RAG) – the backbone of enterprise-ready GenAI.

• Discover the hidden champion behind the GenAI revolution
• Navigate complex challenges like document access management
• Learn how to integrate audio, video and structured databases
• Harmonize multiple proprietary and self-developed AI systems

What You’ll Gain

A full-day workshop on AI Strategy and Architecture including:

• AI Use Case Evaluation Canvas: A structured framework to identify, assess, and prioritize AI use cases based on feasibility, impact, and readiness
• Modular Reference Architecture: A proven, scalable blueprint to implement GenAI use cases across your organization
• Best Practices for GenAI Quality: Guiding principles for optimizing quality drivers like chunking, embedding, re-ranking, and retrieval performance

Our Approach

Strategy

• Align your AI vision with business goals and identify high-impact use cases
• Define success metrics and adoption goals to ensure measurable outcomes

Technical Blueprint

• Leverage a field-tested, modular reference architecture developed from our extensive experience across enterprise GenAI projects
• Tailor the architecture to your specific data landscape, infrastructure, and AI maturity level

Realization

• Create a prioritized roadmap for implementation, including quick wins and long-term initiatives
• Define governance, enablement, and change management strategies to drive adoption and scale

More Information

For further detail, please visit: https://news.btelligent.com/genai