industry
Energy, Power and Utilities
Enhance the Energy, Power and Utilities value chain with optimized exploration, enhanced safety measures, and automation for improved operational efficiencies.
overview
Enterprise AI is revolutionizing the Energy sector.
The Energy, Power and Utilities industry is experiencing the transformative potential of AI throughout its value chain, driving enhanced performance in oilfields, plants, and beyond. Addo AI serves as the perfect data science partner for operators, leveraging AI-derived insights to inform strategic and operational decision-making.
WHY ADDO AI
The Addo AI Experience
Deep domain expertise in the Energy industry
Partner with our team of AI, ML, and advanced analytics experts to solve problems across a vast variety of energy, power and utilities use cases.
Extract deep insights from any data
Regardless of the scale or complexity of your data volume, we have expertise in extracting the highest-quality insights—fast and reliably.
Integrate large volumes of data seamlessly & securely
We simplify your data-management challenge and transform the efficiency of your transport and logistical operations.
what we offer
Our Areas of Expertise
Predictive maintenance
Use predictive analytics like condition-based monitoring and variable analysis to construct scenario-based simulations to identify likely future maintenance events and undertake any necessary maintenance before the equipment is damaged.
Smart risk modeling
Predictive modeling allows companies to evaluate pipeline risk based on vulnerability and impact to increase overall safety, decrease time from incident occurrence to incident identification and contribute to improved decision making.
Real-me customer profiling
Data and analytical tools can inform decision-making by helping sales representatives assess customer profiles, drill down into historic order volume, and develop more efficient processes for capturing deals, thereby transforming upselling from a static to a dynamic process.
On-field support with conversational AI
NLP can help field employees by analyzing their information requests — such as on-the-fly requests for safety rules, real-time information on performance — and then querying a consolidated database of internal and external data to retrieve the data they need.
Optimized supply-chain
Use AI to optimize end-to-end supply chain processes by crunching through large amounts of supply chain data and predicting a range of unexpected events, thereby helping to anticipate problems and rerouting shipments around them.
Exploration
The use of machine learning, and data from field sensors with existing public and private databases, can allow for the discovery of prospects (e.g. hydrocarbon exploration in the oil & gas industry) and evaluate the financial risk associated with them.
Related Solutions
01
Cloud Monitoring & Logging
Stay informed about the state of your Cloud systems and take corrective measures proactively, by leveraging centralized logging and monitoring systems like Cloud-based app monitoring, with personalized parameters and alerts.
02
Advanced Analytics
Our Data Platform enables self-service access to data, enabling data engineers, data analysts, data scientists, and machine learning engineers to work together seamlessly to churn through petabytes of data and generate meaningful insights.
03
Robotic Process Automation
Use Robotic Process Automation (RPA) to unlock numerous advantages for your organization; minimization of human errors and costs, compliance to regulatory rules, and improved speed and productivity.
Case STUDY
Predictive Maintenance & Input/Output Optimization for an Oil & Gas Company
The maintenance engineers of a top oil and gas organization were relying on implicit rules and intuition to identify potential compressor issues, resulting in both human error and unnecessary maintenance costs. Moreover, there was no system for understanding how hundreds of different sensors, implemented by our client for quality control, interacted with one another and the internal systems to correctly monitor issues.
