Gen AI Adoption Workshop

Simform helps you define the right use cases, technical requirements, and organizational changes needed to successfully adopt Azure's gen AI services for operational efficiency at scale.

Generative AI adoption requires a structured framework for technical evaluation and risk assessment. Without proper criteria, organizations risk misaligned use cases, inadequate security controls, and limited business value from their gen AI investments. Through an Azure gen AI adoption workshop, Simform helps you build a strategic roadmap tailored to your scale requirements and business objectives.

We evaluate how Azure OpenAI Service aligns with your technical environment and identify quick wins based on your technical maturity. Our machine learning engineers and Azure-certified solutions architects then help you create your model validation framework, infrastructure design patterns, and security governance controls using proven Azure Gen AI implementations.

Workshop Agenda

1. Understanding generative AI potential

• We help you discover core generative AI capabilities like natural language processing, image generation, data synthesis, predictive analytics, etc., and how to leverage foundational models like GPT, DALL-E, etc., for your business use case.

2. Use case prioritization and technical readiness assessment

• We work with your team to evaluate your organization's technical infrastructure, data readiness, and skill requirements for gen AI adoption. We will help you analyze and prioritize potential use cases based on technical feasibility, business impact, and implementation complexity to create a strategic implementation sequence.

3. Exploring Azure services for generative AI

• We equip you with practical knowledge of how Azure’s suite of gen AI tools, like Azure OpenAI, Azure Machine Learning, and Azure AI services, can be integrated into your current workflow and operations to optimize content generation, predictive analytics, and personalized customer experiences.

4. Technical and data infrastructure considerations

• We guide you through training data requirements and best practices for generative AI models. The workshop covers critical model selection criteria, deployment strategies on Azure, and helps you establish key metrics to evaluate model performance and user engagement for your specific use cases.

5. Gen AI adoption roadmap

• Get a step-by-step gen AI adoption plan, detailing implementation phases from pilot to scale, required team roles and technology resources, risk mitigation strategies, and processes for continuous improvement based on user feedback and performance metrics.

Deliverables

1. Comprehensive gen AI readiness assessment report analyzing your organization's technical landscape, data readiness, and implementation capabilities

2. Strategic adoption roadmap for integrating Azure's generative AI services into your prioritized use cases

3. Security and governance framework detailing data protection measures, access controls, and compliance requirements