Artificial Intelligence in Energy
Driving digitization in a disrupted industry
Maintaining your edge in today’s energy industry means investing in difference-making technologies that deliver maximum ROI for your business.
SparkCognition’s award-winning AI solutions allow you to identify production-impacting events, reduce operational costs, and prevent cyberattacks to keep you ahead of your competition. Artificial intelligence in energy starts here.
Proven Value
“Cutting edge technologies, like AI-based predictive analytics, are key enablers to improving the efficiency of our operations and meeting our ambition to become a net-zero company by 2050 or sooner. Working collaboratively with SparkCognition, we have delivered this project in an agile way.”
Former VP of Transformation, Upstream Technology at bp
Driving digitization in a disrupted industry
Energy companies today are under pressure to transform in the face of disruptive industry conditions influenced by climate change, market fluctuations, and emerging competitors.
Forward-looking energy companies that harness the power of their data through digitization, analysis, and AI-powered optimization efforts stand to gain market share, cost savings, and revenue growth as data-driven solutions continue to reshape the industry. Artificial intelligence in energy and utilities will grow at a nearly 33% compound annual growth rate over the next five years, per recent forecasts.
Drawing on years of experience deploying AI in the energy sector, SparkCognition’s proven solutions—from Industrial AI Suite to Visual AI Advisor—stand ready to help you detect anomalies that can predict production-impacting events, prevent downtime, and optimize performance.
Ready to unlock unprecedented business insights from your data?
AI in the energy sector to prevent downtime
SparkCognition offers scalable predictive maintenance solutions to proactively mitigate equipment failure for oil and gas, renewables, and power and utilities operations. In a previous oil and gas industry deployment, our solution successfully identified 75% of production-impacting events with an average of eight days’ advance notice.
Reduce operational costs with artificial intelligence in energy
SparkCognition enables operators to leverage AI and cloud computing to dramatically improve asset performance, unify data silos, and create a holistic operational view of their business.
SparkCognition’s AI in energy solutions reduced operating costs and improved efficiency by 2-5% in past deployments.
Transform worker safety with artificial intelligence
Computer vision technology has quickly gained significance in energy industries, offering a wide range of applications from elevating safety, security, and inspections to enhancing productivity and situational awareness. Learn how SparkCognition Visual AI Advisor works to reduce accidents with preventative alerts for unsafe acts, near misses, and hazards.
From renewables to oil and gas to power and utilities: AI in the energy sector has the power to change our world
Detecting yaw misalignment with 96% accuracy
Learn about the AI-first technology driving Sparkcognition’s products and solutions
Predicting rare failures in hydro turbines
Artificial intelligence in energy: How to derisk energy profits in the age of decarbonization
Decarbonizing energy production in the years to come will remake the energy industry as we know it. Derisk the future of your business by leveraging artificial intelligence in energy today.
By 2040, renewables could account for as much as 75% of the world’s energy consumption.
Whether you operate in renewable energy, oil and gas, or power and utilities, making the best use of the data you already have to unlock actionable insights that ensure production is strong, uninterrupted, and cost-effective is essential. SparkCognition’s patented AI, machine learning, and natural language technologies empower you to prevent unexpected downtime, maximize asset performance, enhance profitability, and ensure worker safety, all while avoiding zero-day cyberattacks on essential IT and OT infrastructure.