Rapid AI Prototyping | Real-time Data Summit 2024

Nathan Rinard, from Moser Consulting, introduces rapid AI prototyping. Try Aerospike Cloud for free: https://auth.control.aerospike.cloud/...

Rinard discusses the adoption of AI and the US Census Bureau's data collection. He also explains the Azure OpenAI Studio, its features, and the option to bring your own data. Lastly, he introduces Streamlet, a low-code Python library for deploying AI solutions. Action items include exploring AI adoption, testing Azure OpenAI Studio, and evaluating Streamlet for deployment.

In this session, Nathan Rinard from Moser Consulting walks you through how to rapidly prototype AI solutions using Azure OpenAI Studio, Streamlit, and your own business data. Discover how you can go from raw data to a working AI chatbot in under 30 minutes!

📊 Nathan also explores how the U.S. Census Bureau’s AI adoption data reveals key challenges businesses face with AI—like lack of awareness, perceived irrelevance, and security concerns. Learn how to address these barriers with practical tools and workflows.

💡 What You’ll Learn in This Video:

AI adoption trends from U.S. Census Bureau research

Overview of Azure OpenAI Studio features

How to "Bring Your Own Data" into LLMs securely

Rapid deployment of AI chatbots using Streamlit, a low-code Python framework

Connecting OpenAI models with private search indexes (AI Search, formerly Cognitive Search)

Real-world use cases and live demo code examples

How to test and iterate before full-scale production

Ensuring data privacy and minimizing hallucination risk

🔧 Tech Stack & Tools Covered:

Azure OpenAI Service (GPT models, embeddings)

Azure AI Search (Cognitive Search)

Streamlit (Python low-code app framework)

Data ingestion from websites, files, blob storage, and more

Visualizations and UI deployment without needing frontend expertise

🛠️ Action Items for Viewers:

Explore your organization's AI readiness and adoption opportunities

Try out Azure OpenAI Studio and build a chatbot with your own data

Evaluate Streamlit to quickly deploy prototypes to internal stakeholders

📌 About the Speaker:
Nathan Rinard leads advanced analytics and AI development at Moser Consulting, a 28-year-old technology firm serving public and private sectors. His focus includes LLMs, ML, and managed data platforms like Honeycomb Analytics.

🧠 Whether you're a data scientist, data engineer, developer, or enterprise decision maker, this session offers a practical guide to building useful AI tools with minimal overhead.

👍 Like, Subscribe & Comment if you're exploring AI tools for your organization or want more hands-on demos!

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