Cloud data & AI are driving transformation in the energy and raw materials industry by increasing efficiency, promoting sustainability and reducing operating costs. Companies benefit from optimized maintenance processes, more precise energy forecasts and automated workflows.
Artificial intelligence analyzes sensor data in real time to predict and minimize maintenance downtime. Smart network analytics improve load control and enable more efficient integration of renewable energies. Automated data platforms support ESG reporting and CO₂ reduction strategies. AI-based systems detect anomalies early and help minimize security risks. Process mining and machine learning increase operational efficiency, while data-driven trading models optimize price forecasts.
With over 30 years of experience and more than 3.000 successful projects, synvert is the ideal partner for companies that want to drive their digital transformation with cloud data & AI.
Prediction of oil properties to optimise refinery configuration for maximum base oil yield in minimal time.
Developed a chatbot supporting technical engineers in creating technical documentation.
Machine learning generated customer segmentation for a data-driven retail experience for a major fuel retailer and distributor in the Middle East.
Deploying a Cloudera cluster with security configuration and integration with Dataiku, for a large national oil and gas company.
Managed the end-to-end operationalisation of Machine Learning models for network security use cases using Cloudera Data Science Workbench (CDSW), for a leading public petroleum and natural gas company in the Middle East.
Exploration of the suitability of SAP Netweaver BI for a portfolio management system, Conception and realisation of the trade reporting for a German energy trader
Enabled smarter targeting of B2C Rewards customers for an oil & gas distribution company in the Middle East through Machine learning based customer segmentation.
Rock classification using computer vision to detect drilling exploration sites for a leading energy producer in the Middle East.
Managing the end-to-end operationalisation of ML models for network security use cases using CDSW, for a large oil & gas company in the Middle East.
Development of a robust dashboards system built with Tableau, that makes reporting much easier and automated for stakeholders and developers at a major European multinational company that specialises in digital automation and energy management.
End-to-end implementation of an Enterprise BI Platform and continuing long-term partnership to empower BI & advanced analytics at a major oil & gas public sector enterprise in the Middle East.
Application for executives to have a consolidated view of their integrated reporting and analytics for key business areas (Corporate Performance, Human Capital, Finance, Commercials, Projects, Upstream, Downstream, Sales & Marketing) across a large oil & gas group in the Middle East.
Creation of an interactive application optimised for tablet-size devices, to enable directors of upstream operations at a major public oil & gas enterprise to have centralised reports with faster and better tracking of different business departments.
With the concept of using energy as a commodity on the trading market. A data lake was created where data could be consolidated and quickly accessed for business intelligence. CDH tools were implemented to manage the data. And proper additional health check systems, cluster maintenance logs, workshop checks, and housekeeping systems were added to ensure everything was running smoothly.
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