Cloud Azure Open AI and ChatGPT Proof of Concept

The Azure OpenAI Landing Zone Reference Architecture offers a robust and efficient platform for organizations to embrace AI and ML technologies while ensuring security, scalability, and compliance. By combining the strengths of Trace3, Microsoft Azure, OpenAI, and ChatGPT, businesses can unlock the full potential of AI-driven applications and deliver innovative solutions to their customers.

Azure OpenAI on your data enables you to run supported chat models such as GPT-35-Turbo and GPT-4 on your data without needing to train or fine-tune models. Running models on your data enables you to chat on top of and analyze your data with greater accuracy and speed. By doing so, you can unlock valuable insights that can help you make better business decisions, identify trends and patterns, and optimize your operations. One of the key benefits of Azure OpenAI on your data is its ability to tailor the content of conversational AI. By combining your data and Trace3’s proprietary Secure Foundational approach, enable your Enterprise to begin to safely explore what is possible with Microsoft AI Services on Azure.

OUR PROVEN APPROACH

With the combined power of Trace3 and Microsoft Azure AI Services, you can:

• Automatically lay down the Open AI architecture with the produced IaC (Infrastructure as Code)
• Seamlessly integrate and reduce costs in resources and operations
• Integrate and interact with your data with a privatized and secure ChatGPT interface
• Provide your teams with a first-hand experience to support and develop your AI objectives

WHAT YOU CAN EXPECT

Trace3 Cloud Solutions group and Microsoft Partner of the Year in 2021 will evaluate scope and requirements:

• Dedicated Azure Cloud Architects perform Discovery, Planning and Design validation
• Detailed workshops and solution deployment in collaboration with the client teams
• Ability to choose from flexible levels of engagement focused on the client's priorities and timeline

ENGAGEMENT OUTCOMES

DECREASED TIME TO VALUE

• Fully automated and customized deployment
• Re-usable IaC (Infrastructure as Code) for future use

PROVEN CLOUD-BASED DESIGN

• Leverage Azure Enterprise Scale Landing Zone
• Utilize Trace3’s Secure Landing Zone for AI deployment and automation

AZURE OPEN AI CUSTOMIZED EXPERIENCE

• Bring your own data* - static and SQL options
• Interact with your own data with a ChatGPT interface

AZURE AI SERVICES TRAINING AND SUPPORTABILITY

• Azure Open AI Services features, configuration, and troubleshooting sessions
• Optional Azure Open AI Hack Sessions available as an option

PROJECT TIMELINE (SAMPLE)

Eight to Twelve Weeks (Depending upon chosen features)

Plan > Design > Deploy > Operate