-    Operationalizing Predictive Models for Real-Time Decision Making
-    Evaluating AI Vendors for Strategic Technological Advancement
-    Optimizing Data Capture in AI Models for Strategic Insights
 

-  Exploring the significance of knowledge friction and the potential of generative AI, particularly Retrieval-Augmented Generation (RAG) platforms, in resolving easy access to content.
-  Using generative AI to provide easy and rapid access to data, procedures, best practices, and historical knowledge.
-  Showcasing the key capabilities of an ideal RAG platform, describing how it can implement safe and secure generative AI solutions while addressing data privacy and security concerns.
-  Identifying real-world applications where oil & gas operators and equipment suppliers leverage RAG-based solutions to improve operational performance and maintenance processes.
-  Showcasing real-world applications where operators and equipment suppliers leverage these technologies to improve operational performance and maintenance processes.

-    Governing AI and ML to ensure transparency and ethical Use
-    Understanding AI's Transformative Impact on Cybersecurity
-    Adapting Security Cultures to Keep Pace with AI Advancements
-    Building a Robust Security Framework around AI Technologies

-    Navigating the Intersection of Traditional and Generative AI
-    Leveraging Generative AI for Proactive Safety Incident Flagging
-    Developing strategies to overcome implementation challenges in legacy assets 
 

-    Maximizing the Value of Your Data House and Infrastructure
-    AI and ML Governance: Establishing Transparency and Accountability
-    Building a Collaborative Ecosystem Between Humans and AI
 

-  Adapting to AI Advancements: Learn how Seeq navigates the rapid evolution of AI technologies while ensuring seamless integration with existing workflows in the Oil & Gas sector.
-  Empowering the Workforce: Understand how to leverage AI to empower and scale your workforce, optimizing operations and enhancing productivity.
-  Real-Time Insights: Discover the importance of Industrial Enterprise Monitoring™ in enabling real-time insights and supporting data-driven decision-making in the Oil & Gas industry.

The lightning rounds will showcase case studies from speakers who each have 15 minutes to present their update on the Problem, challenge + solution

• Unified AI Process Model for O&G: Predictive Control & Generative Insights
  Srinivas Kuppa, SymphonyAI
• Optimizing Well Placement with AI: Strategic Drilling Using Machine Learning for Sweet Spot Identification in Complex Reservoirs
  Ilia Chaikine, Sproule
• Scenario Planning with AI: Enhancing Predictive Capabilities
  Yousef Hamedi Shokrlu, Ovintiv

-    Discussing the Evolution of Remote Work and How to Achieve More Digitally
-    Overcoming Workforce Resistance when Adopting New Technologies
-    Building a Comprehensive Change Management for Organizational Unity

-    Lowering Costs While Elevating Environmental Standards
-    Driving Sustainable Development with Diverse Energy Sources
-    Enhancing Environmental Compliance with Advanced Tech Tools
-    Meeting Global Energy Demands with Sustainable Practices
 

-    Understanding current skills in roles and using AI to access historical roles to develop skills for the future
-    Maximizing Efficiency with a Limited Workforce
-    Creating Strategies for Workforce Development in New Technological Paradigms
 

-  Consistent Carbon Management Data: Consistency and transparency are essential for regulatory compliance and operational efficiency.
-  Flexibility Through Data Standards: The adoption of standards that are technology agnostic ensures adaptability to evolving regulations and market demands while maintaining consistency.
-  Interoperability Through Technical Protocols: Seamless data sharing and collaboration cross-industry is critical to tracking emissions throughout the value chain.

The lightning rounds will showcase case studies from speakers who each have 15 minutes to present their update on the Problem, challenge + solution

• Leading Through Change: The Essential Role of Leadership in Transformation
  Sean Barnes, WSS Solutions
• Learn Remote Operations: Thriving with a Minimized On-site Workforce
  Wayne Chen, MODEC
• Blockchain logistics use case
  Raquel Clement, Chevron

-    Understanding the critical importance of establishing the centre
-    Discovering the significance of implementing robust industrial data governance and standardization practices
-    Bridging IT and OT for enhanced operational visibility and decision-making capabilities
 

-    Predictive Power: AI and Digital Twins in Monitoring
-    Optimizing Data Capture in AI Models for Efficient Use
-    Enabling DT in Production with Strategic Data Streams
-    Achieving Decision-Making Excellence through AI & DT Synergy
 

-    Understanding methodologies to help identify underutilized assets
-    Delving into the role of digital technologies in transforming asset management 
-    Building a Culture that Supports Continuous Improvement in Asset Use

-   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

-  Debunk common myths about today's digital transformations.
-  Explore the realities and challenges of successful digital transformations
-  Real-life examples, applications, and next steps on the journey

-    Leveraging Wireless Technologies for Cost-Effective Operations
-    Identifying obstacles to deploying AI algorithms on edge devices and strategies to overcome them
-    Discuss how AI can enhance security protocols directly on IoT devices
 

-    Standardizing IoT: Beyond Trial and Error
-    Merging Networks, IT, and OT Systems for Enhanced Connectivity
-    Securing Cellular Networks for IoT Expansion in Industrial Environments

-    Breaking Data Silos: Collaborative Strategies for a Unified Enterprise
-    Developing API Management Standards for Efficient Data Sharing