AI-Powered Solutions for Energy and Resources

Drive efficiency, optimize operations, enable smart decision-making, and promote sustainability

The AI Revolution in Energy and Resources Has Begun

Artificial intelligence (AI) is fueling unprecedented transformation within the energy and resources industry. Early adopters are seizing opportunities for growth and innovation while gaining a significant competitive edge. Harness the power of AI to unlock unparalleled efficiency and pave the way for a sustainable and resilient future.

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The Positive Impact of AI Adoption in the Industry

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Operational Efficiency

AI-powered solutions facilitate data-driven decisions by enabling real-time monitoring and automation, directly enhancing business intelligence optimization.

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Risk Mitigation

Anticipate hazards and predict potential equipment failures before they happen, allowing for preventative and proactive maintenance to create a safer environment for your team.

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Cost Savings

AI analyzes large volumes of data and pinpoints patterns and areas of inefficiency. This insight leads to predictive maintenance that minimizes operational downtime and reduces costs.

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ESG Benefits

Adopting AI for ESG efforts limits external pressures of falling behind while enabling companies to lower operating costs and increase their ROI with improved sustainability practices.

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Enhance Productivity

Automate and streamline manual and repetitive tasks, freeing up human resources for more complex and value-added activities. Analyze data in real-time to enable predictive maintenance, minimizing downtime and maximizing efficiency.

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New Revenue Streams

Gain valuable insights from advanced data analytics to help identify untapped market opportunities, optimize pricing strategies, and improve customer targeting, resulting in increased sales and revenue.

Trusted by Energy and Resource Industry Leaders

The logo of AltaML Partner, Suncor
The logo of AltaML Partner, Kleinfelder
Transalta

AI Solutions: Driving Innovation and Sustainability

AI is transforming the energy and resources industry by unlocking advanced data analysis, optimized resource allocation, and predictive maintenance capabilities. Achieve operational efficiency, reduce costs, and improve sustainability practices, all while gaining insights needed to make data-driven decisions that fuel long-term growth and provide a competitive edge in this dynamic market. As a trusted leader with extensive industry experience, AltaML’s innovative solutions are tailor-made to address real-world challenges, enabling you to achieve operational efficiency, mitigate risks, and discover new sources of revenue. Explore our approach and start your AI adoption journey today.

Transforming Organizations with AI

Headshot - Mark Franklin

Initially, our goal was to create a digital twin of the site to allow inspectors to inspect the facility from an office environment safely. This would enable them to identify, pinpoint, and share locations of concern with contractors and project teams to rectify. However, once we saw the richness of the data we were collecting and how AltaML could utilize it, we changed our focus to create a more comprehensive solution that included machine learning techniques without needing full human interaction. Thus, creating a solution that was more efficient and accurate.

Quotes

Mark Franklin P.Tech (Eng)

Manager of Innovation

Kleinfelder

Headshot - Andrew Nippard

AltaML has been critical in helping us understand what the process is and helping us take an ML project from start to finish to create something that has an impact and can be integrated into our business.

Quotes

Andrew Nippard

Manager, Innovation and Data

TransAlta

A photo of Sam Hayes - Head of Advanced Analytics at Suncor.

Through cross-functional discussions with AltaML, we see new perspectives emerge. We tackled work that we otherwise wouldn’t have and done so in a cost-effective way, resulting in learnings that we can apply to our own analytics development and delivery cycles internally.

Quotes

Sam Hayes

Head of Advanced Analytics

Suncor

Headshot - Mark Franklin

Initially, our goal was to create a digital twin of the site to allow inspectors to inspect the facility from an office environment safely. This would enable them to identify, pinpoint, and share locations of concern with contractors and project teams to rectify. However, once we saw the richness of the data we were collecting and how AltaML could utilize it, we changed our focus to create a more comprehensive solution that included machine learning techniques without needing full human interaction. Thus, creating a solution that was more efficient and accurate.

Quotes

Mark Franklin P.Tech (Eng)

Manager of Innovation

Kleinfelder

Headshot - Andrew Nippard

AltaML has been critical in helping us understand what the process is and helping us take an ML project from start to finish to create something that has an impact and can be integrated into our business.

Quotes

Andrew Nippard

Manager, Innovation and Data

TransAlta

A photo of Sam Hayes - Head of Advanced Analytics at Suncor.

Through cross-functional discussions with AltaML, we see new perspectives emerge. We tackled work that we otherwise wouldn’t have and done so in a cost-effective way, resulting in learnings that we can apply to our own analytics development and delivery cycles internally.

Quotes

Sam Hayes

Head of Advanced Analytics

Suncor

AI in Action: Solutions Driving Impact

Time Series Forecasting

Challenge

Inefficient generator use drives up operating costs and GHG emissions. Generator service time is determined by human judgment, which is prone to error and excess fuel costs.

Solution

A smart power notification tool was developed using machine learning (ML) to predict future power requirements and notify operators to adjust active generators to optimize power consumption.

Impact

$3 to $6M

Fuel cost savings across 109 rigs

~15 to 20M kg

Of Co2 GHG emissions savings

Computer Vision Enabled Asset Management

Challenge

Safety is a top priority. Applying AI and ML creates unprecedented opportunities to flag safety and maintenance issues, streamline safety inspections and save lives on the job site.

Solution

3D scans for fireproofing within refineries were collected and deficiencies were tagged. ML was used to identify anomalies so that damage could be repaired before becoming hazardous.

Impact

$1.2M

Annual savings in maintenance, inspection, replacement, and contractor costs

Uncover How AI Can Transform
Your Organization

Connect with an AltaML AI expert to discover how you can leverage your data to develop AI-powered solutions to solve challenges facing your organization.