Miami, Florida, United States •
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About
Honorio J. Padron brings a rare combination of enterprise operating experience and architectural depth, grounded in multiple technology cycles. He does not speak in trends or tool hype. He shows leaders how to avoid ExperienceBypass—repeating past technology mistakes by building what should be selected and failing at how to execute. What makes me different is that I am both practical and highly engaging: direct, real, and story-driven, with hard-won lessons from the field that keep executive audiences locked in while still delivering a disciplined framework they can use immediately. Audiences leave with a clear method to select the right what—value-driven, industry-specific decision flows—and engineer the how through a self-funding operating model enabled by an AI Factory architecture, resulting in Zero-Latency Decisions™ across critical enterprise flows.
Making Enterprise AI Work
Keynote: The Intelligent Enterprise. This talk explains why most AI initiatives fail to scale and how a sovereign enterprise architecture enables Zero-Latency Decisions™ by integrating use cases, AI-native platforms, data virtualization, governance, automation, and robotics. It introduces a self-funding AI Factory implementation approach that allows organizations to move from pilots to production while continuously funding the next wave of transformation. Value delivered: • Clarifies why scaling fails and what “sovereign” architecture changes in practice. • Provides an end-to-end AI Factory blueprint to move from pilots to production with a self-funding cadence. • Aligns governance, data, automation, and robotics into a single execution system for decision speed.
The Right Use Cases in the Right Order
Talk with an optional guided workshop. Focused on the core enemy of enterprise AI: poor use case selection and sequencing. This session provides a practical framework for selecting, prioritizing, evaluating, and correctly placing AI and GenAI use cases so that value compounds instead of fragmenting across disconnected, non-production pilots. It explains why standalone GenAI initiatives are costly and non-deterministic without an AI-native platform and enterprise workflow integration. Value delivered: • Introduces a repeatable method to prioritize and sequence use cases so value compounds. • Reduces wasted spend on disconnected pilots by enforcing production placement and workflow integration. • Enables executives to compare GenAI opportunities using deterministic, enterprise-grade criteria.
The New Data Strategy for AI
This talk challenges the long-held belief that enterprises must centralize and totally clean all data before creating value with AI. It explains why warehouse-first big data programs rarely delivered value and why they are no longer required. Honorio introduces a modern data architecture built around AI-native platforms, reference data models, ontologies, and just-in-time integration, enabling teams to work one use case at a time while keeping data virtualized at the source. Value delivered: • Reframes “data readiness” from massive programs to use-case-driven, just-in-time integration. • Shows how to keep data virtualized at the source while still delivering reliable AI outcomes. • Connects ontologies and reference models to faster delivery without replatforming everything.
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