Oracle Construction and Engineering Intelligence
Unlock the power of construction data to make informed, proactive decisions and drive continuous improvement across projects. Leverage predictive intelligence to reduce project risk and transform safety programs.
Oracle Construction and Engineering Intelligence Features
Unlock the power of your construction data and get the insights you need to make smarter decisions and reduce project risk.
Oracle Construction and Engineering Intelligence
Construction and Engineering Intelligence leverages best-of-breed Oracle technologies to enable data aggregation, transformation, visualization, and predictive intelligence to transform project data into actionable insights.
Talk to your database, our conversational assistant delivers instant insights about your project data.
Construction and Engineering Analytics
Construction and Engineering Analytics provides prebuilt data pipelines to Oracle Applications, such as Primavera P6 EPPM, Unifier, Aconex, and Primavera Cloud, so that data is consolidated, curated, and ready for analysis. Dynamic visuals and AI-assisted data analysis enable organizations to identify root causes and proactively improve business outcomes.
Ask natural language questions to uncover insights into your construction data
Generative AI automatically analyzes key metrics and generates visualizations based on your queries.
Instantly add a narrative to a dashboard to further explain a visual. AI summarizes the selected fields to explain the insights generated.
Construction and Engineering Advisor for Safety
Enterprise safety programs are challenged by the difficulty of consistently identifying and mitigating risks across worksites. Construction and Engineering Advisor for Safety uses Al to analyze project data, identify safety hazards, and predict the projects at greatest risk of a safety incident. The solution then provides recommendations for risk mitigation that can transform enterprise safety programs from reactive to proactive.
Predictive insights and analytics
Oracle Construction and Engineering Intelligence Advisor for Safety enables teams to continuously reduce risk by proactively identifying projects at the highest risk of safety incidents.
The solution’s AI models have been trained on decades of construction project data and can analyze data sources, including safety observations, incidents, and other operational information from across your organization to forecast where and when safety incidents are most likely to occur.
Advisor for Safety's weekly risk summary ranks all projects in your portfolio based on which are most likely to have an incident.
Actionable next steps
Weekly risk forecasts predict where and when safety incidents are most likely to occur as well as why they might happen and what to do about it. This enables safety teams to move beyond reactive approaches and instead focus preventive measures on areas with the highest predicted risk, often highlighting projects or situations that might otherwise be overlooked.
Safety monitoring
Identify up-to-date risk conditions and pinpoint areas to address safety risk by using AI to analyze jobsite photos. Computer vision enables automatic safety risk assessments and cross-project benchmarking for leading risk indicators from slip, trip, and fall hazards to PPE, workers in heights, and more.
On-demand Webinars
-
Predictive Analytics: How leading owners unify data
Unified data and AI are crucial topics we’re hearing more and more about in the construction industry. Experts from Northwell Health, Accenture, and Oracle discuss how AI can power forward-looking insights to improve site safety, as well as budget and schedule performance.
-
Using analytics & AI to reduce risk: the Contractor’s perspective
See how leading US contractors The Boldt Company and Suffolk Construction have implemented an observation-based safety program including analytics and AI to manage safety risk across their companies.
-
Using analytics and AI to reduce risk: An owner’s perspective
See how leading UK water utility company Severn Trent has implemented an analytics and AI approach to managing safety risk across their capital projects portfolio.
