Hybrid Intelligence:Bridging AI with Domain-Specific Analytics
Eulogio Barragan Gonzalez, VP, Product Management, Baker Hughes
Eulogio Barragan Gonzalez, VP of Product Management at Baker Hughes, introduced the concept of Hybrid Intelligence—a powerful approach that combines the pattern-detecting capabilities of AI with deep domain expertise to drive measurable value across industrial operations.
Eulogio Barragan Gonzalez began by identifying a common challenge in today’s asset performance management: AI initiatives often fail to scale because they’re deployed in isolation, bolted onto siloed systems without integration into end-to-end workflows. This fragmented approach leads to unfulfilled promise, missed ROI, and continued exposure to unplanned downtime and operational inefficiencies.
Through the lens of hybrid intelligence, Eulogio Barragan Gonzalez demonstrated how Baker Hughes is overcoming this challenge by embedding AI within domain-specific models—enabling systems not just to detect anomalies, but to understand their relevance, prioritise responses, and guide proactive decision-making at scale. He detailed how this approach empowers condition monitoring engineers, reliability teams, and planners to align on actionable insights—reducing costly downtime and extending asset life.
The presentation also featured a compelling case study: a major LNG operator in the Middle East leveraged Baker Hughes’ predictive maintenance solution to optimise operations across its entire infrastructure—supporting production scale-up from 77 to 110 MTPA. By integrating AI and domain analytics into a unified platform, the operator significantly enhanced efficiency, reliability, and readiness for future growth.
Eulogio Barragan Gonzalez closed by highlighting how hybrid intelligence is shaping the future of industrial asset management—bridging the gap between data and action, enabling smarter resource allocation, and unlocking enterprise-wide operational excellence.
