Global Energy Show 2026

Attendee Resources

Learn more about our solutions to understand how you can leverage AI, automation, and data analytics to benefit your energy operations.

Past Event
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9 - 11 Jun, 2026
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BMO Centre, Calgary, Alberta, Canada

AI, Automation and Data Solutions for the Energy Industry

Energy has always been a data-intensive industry. What has changed is the scale. A modern upstream facility generates millions of sensor readings every day. Inspection campaigns produce more footage than teams can ever review. Yet 80% of operational data generated by energy systems is never analysed or acted upon.
The operators pulling ahead are not the ones collecting the most data. They are the ones with the systems to act on it.

Companies currently investing in digital and AI are expected to capture an additional $80 billion in annual value by 2030 compared to those that are not.

Rystad Energy

Focus Areas for the Global Energy Show

Top Solutions for the Energy Industry

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Insights Across Your Digital Supply Chain

Real-Time GHG Monitoring and ESG Reporting

A live platform connecting your operational, procurement, and logistics data into a single continuously updated view of your GHG position. Track Scope 1, 2, and 3 emissions by category, by facility, and by supplier against your reduction targets in real time.

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Regulator-ready reports produced in hours, not weeks
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Top emission hotspot suppliers identified automatically
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 Procurement decisions informed by real emissions impact data
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Augmenting Your Operations with AI Assistants

Anomaly Detection and Safety Monitoring Platform

AI monitoring platform that learns the normal operating signature of every asset and process. Detecting deviations, classifying anomalies by risk, and surfacing prioritised alerts with plain-language guidance before incidents occur.

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Maintenance interventions planned rather than emergency responses
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Safety-related incidents reduced by up to 20%
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AI and Machine Learning for the Energy Industry

Predictive Asset Maintenance Platform

Production-grade ML models trained on your own SCADA and historian data. Continuously monitoring every asset for the patterns that precede failure. Automatically generating work orders in your existing systems before a fault occurs.

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Predictive maintenance cuts maintenance costs by 20 to 30%
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Reduces breakdowns by up to 70%
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30 to 50% reduction in downtime
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AI and Machine Learning for the Energy Industry

Energy Digital Twin

A continuously updated virtual replica of your physical infrastructure — integrating live sensor data, engineering models, maintenance records, and operational history. Monitor in real time. Simulate the impact of changes before you make them. Optimise performance without touching live systems.

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Simulate operational changes before committing to live systems
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Companies implementing digital twins see equipment downtime drop by 20%
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Maintenance costs decrease by 25%

About Blackbook AI


Blackbook AI is a global technology consulting company with offices across Australia, Asia, and North America. We have spent nine years building AI, automation, data, and digital solutions for some of the most operationally complex industries in the world.

Our Team at Global Energy Show

Thuy Lam
Chief Executive Officer, Head of R&D
Robbie Butchart
VP of Growth, North America
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Let's Connect

Whether you're just starting to explore AI, automation and data solutions or already have initiatives underway, we'd love to talk.

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