ADIPEC 2024 Exhibition & Conference
We’re thrilled to announce our participation in ADIPEC 2024, one of the world’s premier energy events! From November 4–7, join global industry leaders in Abu Dhabi to explore the latest innovations, technologies, and sustainable solutions shaping the energy landscape.
Visit Wrench Solutions at Booth AI-3 in the exclusive AI Zone, and engage with our experts to discover how our Wrench AI Advisor (WAA) can transform project execution, monitoring, and control in the energy sector. Don’t miss the opportunity to experience the future of project management with us!
Find us at:
Monday 4 November, 16.30 GST | Category: AI Thought Leadership Presentation | Location: AI Zone | Presenter : Varghese Daniel, CEO , Wrench Solutions | Presentation Topic: ‘Using AI to analysis Realtime Dashboards using NLP’. This session will showcase an integrated dashboard that uses Natural Language Processing (NLP) to allow users to ask questions either by speaking or typing, offering concise project insights and predictive analysis. Key features include identifying potential delays in deliverables based on current progress, sending automated notifications if resource productivity falls below planned levels for construction activities, and recommending additional resources to keep projects on track.
Tuesday 5 November, 09.50 GST | Category: Technical Paper Presentation | Location: Capital Suite 3 | Presenter : Varghese Daniel, CEO , Wrench Solutions | Presentation Topic: ‘Leveraging AI to reduce project execution time’. This session will outline how data is utilized to train machine learning (ML) models, enabling AI-powered recommendations. This approach supports early forecasts of potential delays, allowing teams to take proactive measures and ensuring projects are delivered on time and within budget.
Thursday 7 November, 12:30 GST | Category: AI Thought Leadership Presentation | Location: AI Zone | Presenter: Varghese Daniel, CEO , Wrench Solutions | Presentation Topic: ‘Generation of organised asset information from legacy document’. This session will explore how Machine Learning (ML) and AI technologies can transform the management of as-built documents, which are often unstructured and lead to missing or inaccessible information in operating plants. ML is trained to understand document content, scanning through files in Windows folders, automatically extracting relevant information, and adding it as metadata.
Meet us at booth # AI- 3 at ADIPEC 2024.
