

Event
RVA Data Enthusiasts | Accelerated Intelligence: AI Insights with UDig
Thursday, February 27th at 5:30 PM
UDig | 8000 Franklin Farms Dr, Suite 200 · Henrico, VA 23229

Event
RVA Data Enthusiasts | Accelerated Intelligence: AI Insights with UDig
Thursday, February 27th at 5:30 PM
UDig | 8000 Franklin Farms Dr, Suite 200 · Henrico, VA 23229
Join UDig to explore how AI is accelerating impact for clients at the RVA Data Enthusiasts February event. In this session, we will share technical insights and lessons learned across a variety of AI-driven projects. Through a round-robin format, you’ll hear from team leaders and consultants on key innovations, with time for Q&A.
Speakers & Topics
Josh Bartels, Chief Technology Officer
Josh will provide a technical deep dive into how UDig is using large language models (LLMs) to extract data from documents and streamline workflows for teams and customers. He’ll share real-world use cases demonstrating how AI and Retrieval-Augmented Generation (RAG) can rapidly surface information, democratize data access, and enhance employee onboarding.
Connor Dolan, Data Scientist
Connor will discuss UDig’s work developing a computer vision solution that leverages loss prevention cameras to improve in-store operations. He’ll cover solution architecture, modeling approaches, automated data collection, and inference techniques. Key lessons include optimizing data collection, handling false detections, and performing real-time calculations on limited hardware. Don’t miss this opportunity to gain practical insights into AI’s role in driving business outcomes.
Join UDig to explore how AI is accelerating impact for clients at the RVA Data Enthusiasts February event. In this session, we will share technical insights and lessons learned across a variety of AI-driven projects. Through a round-robin format, you’ll hear from team leaders and consultants on key innovations, with time for Q&A.
Speakers & Topics
Josh Bartels, Chief Technology Officer
Josh will provide a technical deep dive into how UDig is using large language models (LLMs) to extract data from documents and streamline workflows for teams and customers. He’ll share real-world use cases demonstrating how AI and Retrieval-Augmented Generation (RAG) can rapidly surface information, democratize data access, and enhance employee onboarding.
Connor Dolan, Data Scientist
Connor will discuss UDig’s work developing a computer vision solution that leverages loss prevention cameras to improve in-store operations. He’ll cover solution architecture, modeling approaches, automated data collection, and inference techniques. Key lessons include optimizing data collection, handling false detections, and performing real-time calculations on limited hardware. Don’t miss this opportunity to gain practical insights into AI’s role in driving business outcomes.
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