WEBINAR
Predictive Everything: How AI is Transforming Oil & Gas Operations
A conversation on moving Oil & Gas asset management beyond reactive maintenance schedules and into predictive, data-driven decision-making with real examples from the field.
Speakers
Simon Boyer
VP of Energy & Utilities, IFS
Dawn Aldwinckle
VP of Sales, HOIST
OVERVIEW
From scheduled checklists to live asset intelligence
Artificial intelligence is rapidly transforming how Oil & Gas organizations manage assets, operations, and decision-making. For decades, maintenance in the industry has run on fixed schedules and after-the-fact repairs a model built for predictability, not for the volume of sensor and operational data now available.
In this session, Simon Boyer and Dawn Aldwinckle unpack how industry leaders are using AI to close that gap: turning continuous asset data into early warnings, sharper maintenance planning, and operational decisions made ahead of failure rather than in response to it.
KEY TAKEAWAYS
What the conversation covers
REACTIVE → PREDICTIVE
Why the reactive model is running out of road
Fixed-interval maintenance wasn't built for today's data volumes, early warning signs go undetected until failure is underway.
FIELD ADOPTION
What's actually working today
Real examples of how operators are rolling out predictive approaches, and what made adoption stick.
DATA IN PRACTICE
Turning asset data into decisions
How AI translates raw sensor data into prioritized, actionable insight not just more dashboards.
GETTING STARTED
Where to begin the shift
Practical starting points for teams weighing a move toward predictive operations.
FULL WEBINAR
Watch the full session
