Of oil and gas executives are planning to increase their investment in AI in the next year (Deloitte)
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AI Adoption in Oil and Gas: Unveiling Deloitte's Latest Executive Survey Finding
Deloitte conducted a survey of 2,000 oil and gas executives in July 2022 to assess their investment plans for AI in the next year. The survey found that 56% of respondents are planning to increase their investment in AI, while 36% are planning to maintain their current investment levels. Only 8% of respondents are planning to decrease their investment in AI.
The AI Platform Built for Your Industry
Predictive Maintenance
papAI empowers oil and gas companies to segment their assets based on factors like equipment health, historical performance, and maintenance history. This segmentation facilitates tailored predictive maintenance strategies for different asset groups.
The platform utilizes predictive analytics to anticipate potential equipment failures by analyzing factors such as equipment performance, anomalies, and historical maintenance data. This enables proactive intervention before critical issues arise.
papAI generates automated maintenance plans based on predictive analytics. These plans include recommended actions and strategies to address potential equipment failures, optimizing maintenance schedules and minimizing downtime.
Of Accuracy in Predictive Maintenance
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Of Accuracy in Energy Consumption Forecasting
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Energy Forecast Consumption
papAI tailors energy consumption forecasts for oil and gas assets, considering usage patterns, historical data, and equipment efficiency. This personalized approach enhances accuracy and relevance, providing targeted insights for each asset category.
Leveraging predictive analytics, papAI empowers proactive strategies for resource allocation, allowing oil and gas companies to anticipate and meet energy demands efficiently while minimizing wastage.
Automated plans generated by papAI aim to optimize energy consumption, suggesting actions and strategies to improve overall efficiency and cost-effectiveness in oil and gas operations.
Risk Management Optimization
The platform enables real-time monitoring of risk indicators, issuing alerts and notifications to facilitate immediate responses to dynamic risk scenarios in oil and gas activities.
papAI generates automated risk mitigation plans, providing actionable strategies to address identified risks promptly and efficiently.
papAI establishes a continuous improvement feedback loop by analyzing the effectiveness of risk mitigation strategies, refining models, and adapting to evolving risk landscapes for sustained risk management excellence.
Optimization for Risk Management
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Of Supply Chain Optimization
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Supply Chain Optimization
papAI optimizes logistics by analyzing transportation routes, lead times, and real-time market conditions, ensuring timely deliveries and reducing transportation costs.
papAI generates automated inventory management plans, offering recommendations for optimal stock levels, reducing excess inventory, and minimizing supply chain costs.
papAI seamlessly integrates with external data sources, including market data, and weather reports. This ensures that risk assessors have access to up-to-date and comprehensive information to make well-informed assessments.
Data Collection
Data Cleaning
Data Visualization
AI & Deployment
Explainability & Interpretability
Data Collection
Import relational databases (postgreSQL, mySQL, Oracle, MicrosoftSQL), upload CVS and Excel files, and insert APIs from a custom Python script.
Data Cleaning
The AI platform’s agile ETL will speed up massive data transfers to enhance your productivity outputs. The calculation engines are distributed without any configuration on your part.
Data Visualization
Create your own analyses and choose from the different vizualization models offered (Statistics, Histograms of numerical and categorical data…). You can also view 2D, 3D and geographical plots.
AI & Deployment
In papAI, powerful Machine Learning engineering will enable you to swiftly and easily deploy your predictive models throughout your pipelines: Feature Selection, Element Coding & Scaling, and Data Separation.
Explainability & Interpretability
papAI offers a high degree of explicability of results thanks to its counter factual and feature impact functionality.
Accelerate from Data Collection to AI-Driven Decisions Swiftly
Step-by-Step AI Implementation: The Path to Enhanced Efficiency
How do we ensure our client's success?
Initial Consultation:
Data Assessment:
Use Case Identification:
Custom Solution Design:
Data Collection :
Model Development:
Testing and Validation:
Deployment and Integration:
Monitoring and Optimization:
Scalability:
Datategy Process / Time
Discover Our Use Cases
Explore our extensive range of use cases to see how papAI can address your specific needs and drive success in your organization.
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AI-powered churn prediction systems have been shown to reduce churn costs by up to 80%.
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