Data Services
The energy industry is constantly changing, with new challenges arising frequently. From disruptions in the supply chain to evolving customer demands, companies in this sector must adapt continuously to remain viable. The market’s dynamics and volatility necessitate operators to bring their products to market faster, optimise production processes, and establish flexible supply chains at scale, all at a lower cost. As a result, many operators have turned to data science to achieve these objectives.
Data is at the core of nearly every innovation in the energy sector. Leading organisations are leveraging data and analytics to resolve strategic challenges and make informed decisions that minimise risk, streamline operations and cut their carbon footprint.
AIE’s Data Science Services can help you at any point in your data and AI journey by delivering rapid success on projects with world-class data engineering, data science, and project management expertise. Our data science capabilities involve collaborative partnerships with key clients to develop a collective ability to discover new insights from client data and formulate new hypotheses for testing. We continuously adapt our solutions to address evolving business questions, emerging performance trends, and to improve existing deployed solutions.
Featured Services Featured Insights
End-to-end bespoke solutions
AIE provides comprehensive, tailor-made solutions for clients by merging its engineering, data science, and software capabilities. Services include digital transition assessments, roadmaps, custom application and software development, AI model creation and deployment, data science and analytics, as well as digital optimization and integration.
Our Technology: Veracity APM and Lab
Veracity Platform, a digital twin of data science processes, breathes life into data through Veracity Lab. The latter curates minimum viable solutions, enabling key decision analytics. This platform processes, scores, and interprets data from model outcomes and insights, delivering results via user-friendly dashboards, thereby bolstering decision science capabilities.
IIOT and Advanced Analytics
Asset Performance Management (APM) is a comprehensive concept to help organizations optimize their asset operation and maximize their return on investment. Using data science and artificial intelligence, Asset Performance Management allows organizations to gain informed insights into the overall operational status of their entire facility.
Data Management and Migration
Experience the power of AI-driven data migration. Our expertise in asset integrity engineering and AI helps deliver superior, efficient, and scalable data transfer. We ensure enhanced data quality, intelligent mapping, and swift data transfer, meeting our client's needs.
Training
Join us on a journey to supercharge your skill set and gain a deep understanding of the game-changing potential of Data Science in today's fast-paced industrial landscape. Our course isn't just theory; it's a hands-on experience that equips you with the tools and know-how to tackle real-world challenges head-on.
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Data Analytics in the World of Sustainability
As the world continues to evolve at a rapid pace, the ways in which we prioritize sustainability are being transformed by the incredible potential of big data analytics and Artificial Intelligence (AI). At AIE, we harness the power of AI technologies like Computer Vision and Machine Learning to unearth valuable insights from even the most elusive and limited datasets. These insights empower operational teams to enhance business performance while championing environmental sustainability. Through our innovative approach, businesses can and have strategically analysed operational factors and environmental variables to gauge risk levels, chart step improvements and markedly decrease their carbon footprint.
Boosting productivity through Alarm Rationalisation using Veracity APM
AIE created a tool that seamlessly connected with a Middle East based client’s existing DCS to the Veracity Cloud. All the extracted data from events were fed into the Alarm Rationaliser, which used a combination of Python and Image Recognition to convert the data into a common format. A natural language model then grouped the events together, and these events were ranked by the counts of events and cross-referenced with the equipment service. The analysis of data allowed actions to be raised, status reports to be generated, and corrective work orders to be raised in the operator’s Computerised Maintenance Management System (CMMS) or within Veracity Watchkeeping. As these actions got completed, the data was fed back to the Alarm Rationaliser via the Veracity interface for further analysis.
Moving maintenance analysis from descriptive analysis to predictive behaviour
Our innovative approach, which leverages Natural Language Processing (NLP), has paved the way for a breakthrough in maintenance and planning. By decoding free-text maintenance data, we enable businesses to easily identify potential failures and conduct root cause analysis. But that's not all - this cutting-edge technology goes beyond just problem identification, it also lays the groundwork for enhanced maintenance planning and resource availability. Our customers have experienced significant improvements in their operations, which is a testament to the power of AI in fostering efficiency. Our progressive approach has proven to be effective, and we're excited to continue pushing the boundaries of what's possible with NLP.
Interview with Lead Data Scientist
By blending AI and ML into all aspects of asset performance management and integrity engineering, AIE is paving the way for clients to use their data to boost asset performance, reduce risks, and cut operational costs. In this interview, AIE’s lead Data Science, discusses our innovative approach to integrating AI and Machine Learning into their engineering services. Our team leverages AI to automate repetitive tasks, freeing the engineering teams to focus on value delivery. Using advanced data science techniques, AIE has transformed our client’s unstructured data, breaking data silos and extracting critical client information. This efficient process has saved significant time and can cater to any industry or dataset. The data science team also employs trend analysis and data manipulation to identify opportunities for risk reduction and optimization. Our models seek to enhance key metrics like availability, utilization, and production efficiency.