Data Science for Energy

With the need to optimize each aspect of the value chain while also innovating in renewables, there’s never been more pressure on energy companies to transform the way they do business. Forward-thinking organizations use RapidMiner to address challenges from exploration and development through to generation & delivery.

These leading energy companies trust us to help drive them forward.

Three Ways Data Science Powers the Future

Drive Revenue
  • Analyze upstream energy assets and processes to boost exploration and production (E&P) success 
  • Forecast production and demand to handle spikes while avoiding idle capacity
  • Shift refinery optimization to real-time to quickly adapt to production, market, and supply conditions
Cut Costs
  • Optimize asset utilization to get maximum output from capital investments
  • Apply predictive maintenance to midstream infrastructure to minimize loss during transportation
  • Analyze and streamline value chain processes to minimize costs
Manage Risk
  • Profile EH&S risks and prescribe environmental protection measures
  • Improve energy trading and risk management with smarter analysis
  • Ensure pipeline integrity by integrating predictions of vulnerabilities with exposures
  • Detect theft proactively with smart meter data analysis

Revolutionizing Energy Through AI

RapidMiner has helped energy companies across the globe do more with less at a faster pace, while also reducing the burden on the environment.

Organizations use our platform to enhance every aspect of today’s value chains while simultaneously innovating with renewables to set the stage for tomorrow’s markets. 

Across exploration and discovery, you’ll be able to make smarter investment decisions while mitigating risk. You can also make operations smoother, more reliable, and more secure through impactful data science techniques—probability modeling, outage detection and prediction, and preventive equipment maintenance.

AI for Energy—Why Now?

Energy—its sources, consumption patterns, and economic and ecological impact—has become one of the defining issues of our time. The industry faces financial and market pressures to operate profitably, and societal and regulatory pressures to do so with minimal environmental impact. Sometimes, those initiatives feel as if they’re competing against each other.

The good news is that there are unprecedented volumes of data to feed analytics, from equipment in the field, the plant, and transmission infrastructure, through to homes and businesses. AI enables the energy industry to improve every facet of the value chain while innovating with renewables for a brighter future.

Discover the RapidMiner Data Science Platform

RapidMiner unifies the entire end-to-end data science lifecycle so that you can turn promising data science projects into solutions that deliver real business results—and set you apart from the competition.
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Global Users

RapidMiner As a Citizen Data Science Tool

A well-designed flexible product, plenty of pre-built models, generalized transformations and evaluation processes. In addition, easy to understand explanations and an extensive training library.

Enterprise Analytics Manager

Pipeline Transmission

Automated Machine Learning

RapidMiner Studio is an awesome visual workflow designer. The way they present visually is so unique. It helps in speeding and automating the creation of visual models. It helps in creating models in only 5 clicks by automated machine learning.

Senior Software Engineer

R&D/Product Development

Smart Tool Related to Machine Learning and Data Science

RapidMiner Studio helps us evaluate and communicate our concepts in a simple and understandable way and expedites our data-driven transformations. As an outcome of all this, our information collection, model confirmation, data augmentation, and visualization methods have all changed considerably.

Corporate Communications Manager

IT Services

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Data Science for Energy

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