Improve efficiency, safety and reduce costs with machine learning in energy, mining and agriculture
Machine learning and AI have now become an integral part of the operations of most oil and gas, utility, mining and agriculture companies, allowing them to gather large volumes of information in real-time and translate data sets into actionable insights. Data is an extremely valuable resource, and with the right tools can offer a huge upside for companies with innovative, robust machine learning strategies.
Investing in predictive technology to become more productive is easier said than done.
What are the strategic considerations for adopting an artificial intelligence (AI) platform?
How do you implement an AI platform seamlessly with other systems and ensure there’s no cost blowout?
And what’s the guarantee for return on investment (ROI)?
The Machine Learning in Energy, Mining & Agriculture Canada Conference will explore these challenges and more. Specialists from leadingoil and gas, utilities, mining and agriculture companies will come together to exchange insights on the latest developments in machine learning. Case studies and interactive panel discussions will enable delegates to also benchmark against industry best practice.
In April’s 2018 Machine Learning in Oil & Gas Conference in Houston in 2018, over 200 attendees benefited from attending the world’s largest and most respected gathering of oil and gas data experts – we hope you can join us in Canada this October as we widen the scope.