-    Reviewing the Digitalization and AI landscape and its importance to the Oil & Gas sector
-    Highlighting how the industry has revolutionized operations to optimize operational processes 
-    Showcasing innovations that have successfully leveraged Digitalization and AI to improve leading levels of efficiency, sustainability, and safety in operations
 

-    Emphasizing the role of policies, research facilities, academia, and innovation hubs in driving initiatives 
-    Discussing potential obstacles and hurdles faced by the Canadian digitalization and AI ecosystem
-    Identifying emerging trends that can be adapted to excel in ongoing and future projects

-    How leading operators have enabled rapid digital transformation from the ground-up in a largely analogue sector
-    Solutions for managing the time and cost involved with upgrading legacy systems and harnessing vital data from those systems to minimize wasted effort
-    A place for AI in operator task management data, improving an operate by exception strategy

-  Connecting the Workforce: Essential for Empowering Critical Decisions and Ensuring Safety
-  Collaborating with End Users: A Key to Designing Successful Technology Programs
-  Enhancing Worker Empowerment: Through Intuitive Software and Hardware Interfaces for Increased Productivity, Satisfaction, and Safety
-  Establishing a Strong Base: The Role of a Solid Foundation and an Engaged Workforce in Maximizing AI and Technological Advancements

This presentation will demonstrate how BERDI (Biophysical, (Socio)Economic, and Regional Data and Information), a data bank developed by the Canada Energy Regulator (CER), uses AI to curate a vast array of environmental and socio-economic data. The data has been collected by the CER from major pipeline applications since 2003. AI technology is used to improve the navigability of data, classify data types, and protect sensitive data. We'll delve into the machine learning algorithms that enable this curated open data portal, provide an overview of the journey, the challenges faced, and the future plans.

-    Understanding how data has become a critical asset in the industry, influencing exploration and production to operations and sustainability efforts
-    Discussing the complexities of handling large and diverse data sets and the need for skilled individuals who can extract meaningful insights
-    Explaining what it means to be a data storyteller and the skills required
 

-    Defining quality data in the context of Al and Digitalization 
-    Understanding the challenges associated with data collation 
-    Establishing data quality metrics and benchmarks 
-    Best practices for leveraging external sources for data collection
 

-  How Standardisation and Collaboration unlocks value and accelerating growth in Oil and Gas and the Energy Transition
-  Industry association activities to accelerate value through digital solutions – A Strategic Approach and Focus Areas
-  Use case development and program overviews

The lighting round will showcase 5 case studies from speakers who each have 10 minutes to present their update on the Problem, challenge, plus solution. There will be a short group Q&A with the audience at the end.

-  Case Study: Integrating Financial data from multiple systems for informed decision-making 
   Scott Cote, Northrock Resources

-  Case Study by Imperial Oil
   Bart Maciszewski, Imperial Oil

The lighting round will showcase 5 case studies from speakers who each have 10 minutes to present their update on the Problem, challenge, plus solution. There will be a short group Q&A with the audience at the end.

-  Asset Health and Reliability Optimization using Data Analytics - Laura Creanga, SLB  
-  Case study: Cybersecurity concerns and data integrity - Michael Henry, Former ARC Resources
-  Hyper-Automation of Inter-Company Tax Computation with Business AI and Unattended Bots - Craig Kindleman, SAP

Explore the intersection of AI, workforce transformation, and scalable analytics across the value chain in oil and gas. Discover approaches for weaving AI innovations into your digital transformation strategies while maximizing the impact of industrial enterprise monitoring on operational efficiency. 

-  Navigate the pace of change: Discover strategies for navigating the rapid evolution of AI technologies while ensuring seamless integration with existing workflows
-  Unlock the potential of AI: Learn how to leverage artificial intelligence to empower and scale workforces to optimize operations in oil and gas
-  Harness real-time insights: Explore the importance of industrial enterprise monitoring in enabling real-time insights and data-driven decision-making

-    Identifying the challenges and unexpected expenses companies may face during technology adoption
-    Prioritizing scalability to reduce long-term costs and embrace ROI
-    Understanding the social, environmental, and economic benefits of technology  
-    Providing insights into the criteria for selecting technology vendors and partners

The Oil and Gas industries are characterized by their abundance of physical assets. These industries are driven by complex science, engineering, and processes, and their operational environment is often not suitable for human workers. Consequently, Intelligent Automated Operation (IAO) and AI-supported real-time decision-making systems are becoming essential capabilities and business models that are driving the implementation of the next-generation Energy industry.
In this presentation, will cover:
-    What is Cognitive Digital Twin and why is it becoming the standard intelligent system architecture for complex industrial solutions?
-    How can Cognitive Digital Threads assist companies in efficiently producing, managing, contextualizing, and utilizing their data and knowledge?
-    Additionally, we will present some real-life business cases from exploration to operation

-    Sharing our practical perspective on digital twins and their transformative applications within offshore oil and gas operations
-    Showcasing offshore digital twin use cases that demonstrate potential benefits for operational enhancements
-    Discussing the next significant challenges for holistic optimization of topside and reservoir operations
-    Exploring how an AI-driven optimization framework can effectively address these challenges through a compressor train case study

Each round table has a different topic, and attendees can select the round table they would like to participate in. Round table leaders will spend the first 15 minutes meeting the delegates and providing a case study/lessons learned log/industry update and then moderating a 30-minute discussion with the group where they can give feedback and ask questions. The final 10 –15 minutes will be spent agreeing on 3-5 industry recommendations. All the recommendations will be summarized in the post-event report.

Topic options:
-    Strategies for Maximizing Asset Reliability - Dave Gajadhar, ResultantGroup
-    Ethical and legal considerations of AI - Ian Gonzalez, Supply Chain Canada
-    Innovations in Predictive Maintenance and Analysis for Operational Excellence - Maya Pazouki, NOVA Chemicals    
-    Strategies for training, upskilling, and reskilling the workforce of the future - Tara Seitz, Independent Consultant
-    Data Management Challenges in Oil & Gas: From Collection to Deployment - Jeff LaFrenz, Technology Alberta
-    Exploring the Power of Cognitive Digital Twins in Oil & Gas Operations - Ahmed El Adl, CogniTwins
-    Integrating AI Technologies and Advanced Computing Capabilities for Increased Performance - Towen Chrea, HP with AMD

-    Implementing programs to upskill current employees and equip them with the latest technological advancements in the oil and gas industry
-    Creating partnerships with educational institutions and industry stakeholders to develop internship programs that offer practical, hands-on experiences for emerging talent
-    Exploring regulatory policies that incentivize investments in workforce development, fostering a supportive environment.

-    Learning about the cutting-edge innovations in AI that are setting new standards for the oil and gas industry
-    Understanding how AI is utilized to access and interpret historical data to develop skills for future demands, maximizing workforce efficiency
-    Creating effective strategies for workforce development and adaptability in response to emerging technological paradigms

-   Looking to existing video camera infrastructure for feeding data-hungry AI-models and analysis
-   Review technologies used to remotely extract video streams from legacy CCTV systems
-   Explore real-world scenarios where surveillance feeds become data feeds for AI
 

-    Discussing the path forward to the industry ensuring a collective approach towards embracing digital transformation
-    Preparing for technology shifts proactively adapt to evolving technological landscapes
-    Highlighting latest advancements in AI and digitalization technologies and how they are reshaping the landscape of the oil and gas industry
 

-    Reviewing how digital twins enhance employee productivity, ensure safety, and streamline data
-   "See it, Start it, Solve it" - Highlighting how digital twins revolutionize oil and gas operations by optimizing data management
-    Showcasing the benefits of using digital twins including visualizing assets in 3D, intuitive collaboration, preemptive risk mitigation, training and emergency response, visual context for data organization, and seamless integration with AI
 

Digital twins, accompanied by emerging technologies like AI and Machine Learning, can be seen as difficult or impossible to attain. Most organizations are still on the starting line when it comes to implementing a Digital Twin or articulating the value of a Digital Twin. This presentation intends to discuss simplification, implementation and operationalization of the Digital Twin in a way that makes it a viable solution with tangible value.

-    Shifting from a risk-averse procurement mindset to a partnership approach to open new opportunities for growth and development.
-    Addressing how organizations can prepare for the unknowns and uncertainties inherent in innovative projects 
-    Highlighting real-world examples of successful partnerships, emphasizing the importance of collaboration