Vicente Rubén Del Pino Ruiz

Vicente Rubén Del Pino Ruiz

Senior Director Data & AI Engineering, Chief Data Office Unitedhealth Group
Vicente Rubén Del Pino Ruiz

With 17 years of experience, Vicente specialises in designing, architecting, and implementing scalable AI and data solutions. He has delivered transformative initiatives for several Fortune 20 companies and currently leads Artificial Intelligence and Data Solutions in the healthcare sector. He brings extensive expertise across cloud-based AI and data environments, leveraging platforms such as Azure and AWS. In recent years, Vicente has focused on large language models (LLMs) from providers including OpenAI and Anthropic, delivering AI-driven solutions that serve millions of customers. His contributions have been recognised by Forbes, where he has been featured for his talks on data engineering. In addition, he has authored several patents in AI, predictive systems, and quantum computing, with a focus on practical innovation at the intersection of data and artificial intelligence. In his spare time, Vicente writes articles on his website, sailingthedataocean.com, where he explores emerging trends and shares insights on LLM architectures, scalable AI, and data innovation.

Main Conference Day One - November 4, 2026

2:00 PM Case Study: From POC to Payback: Measuring Agentic AI ROI with Digital Twins

Agentic AI is moving quickly from proof of concept to enterprise transformation. Yet many organisations still face one difficult question: how do we know if an agentic system is truly delivering business value?

Traditional AI evaluation often focuses on prompt quality, benchmark scores, or isolated task accuracy. That is not enough for agentic systems. Agents operate inside workflows, interact with users, make decisions, trigger actions, and can change how entire business functions work. Measuring ROI therefore requires a different approach.

This session introduces a practical framework for identifying and testing ROI in agentic AI systems using digital twins. Instead of testing agents only against fixed prompts or ideal scenarios, organisations can evaluate them against realistic synthetic users, decision makers, operational roles, and business functions. These digital twins can represent preferences, decision patterns, risk tolerance, organisational context, KPIs, expected outcomes, and edge cases.

By testing agentic systems against populations of digital twins, teams can answer critical questions before scaling: Is this agent improving the process? Is it replacing or augmenting a function efficiently? Is it reducing manual effort without increasing risk? Is it improving decision quality? Does it behave consistently across different types of users? Where does it fail?

Check out the incredible speaker line-up to see who will be joining Vicente Rubén.

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