This session will explore the lessons learnt for optimizing industrial HVAC systems with hierarchical reinforcement learning and how this applies to the energy industry

-    Understanding the new positions centered around AI system management, data analysis, and algorithm development
-    Develop a clear roadmap for employees transitioning from traditional roles to help understand the new opportunities available
-    Identifying transferable skills of domain experts that can be used to oversee and interpret AI-generated insights
 

-    Exploring the parallels between exploration and production, predictive maintenance, personalized healthcare treatment plans, and new drug discovery
-    Addressing ethical considerations unique to both industries to help establish best practices for AI deployment 
-    Discussing initiatives to foster an AI skillset and expertise, promoting interdisciplinary growth
 

Interacting with AI is table stakes – leading Oil and Gas organizations are creating competitive products with GenAI. Join this session for a conversation on the critical role that discovery plays in finding the right opportunities for GenAI. This discussion paves the way for taking GenAI solutions into production and driving actions that lead to outcomes
-    The real impact of GenAI across Oil and Gas
-    Discovering the right opportunities for GenAI
-    Taking GenAI solutions and products into the market

-    Discussing use cases and challenges faced by companies implementing AI technologies across these parts of the value chain
-    Exploring how Al can help the industry operate sustainably and meet emissions targets 
-    Considering the future trends of AI and the potential of advancements in automation and data analytics

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

• Case study: A brief review of AI use cases in the oil and gas industry, followed by an illustration of the potential use of Digital Twins and AI in optimizing the crude supply, refining, and distribution chain - Shaun Wright, BKO AI   

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

1. Case Study: Reimagining Knowledge for the Oil & Gas Industry with AI - Diti Sood, Bolo AI
2. Case study by Data Kinetic - Nick King, Data Kinetic 

-    Discussing use cases and challenges faced by companies implementing AI technologies across these parts of the value chain
-    Exploring how Al can help the industry operate sustainably and meet emissions targets 
-    Considering the future trends of AI and the potential of advancements in machine learning, automation, and data analytics
 

Each roundtable has a different topic and attendees can select the round table that they would like to participate in. Roundtable 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 on agreeing on 3 -5 industry recommendations regarding the topic. A selection of these recommendations will be shared with the whole audience and all of them will be summarized in the post-event report.

-    Evaluating the operational and financial risks and benefits of an AI implementation - Al Lindseth, CI5O Advisory
-    Overcoming challenges of data quality, interoperability, and privacy in AI adoption - Hend Ezzeddine, Humantech
-    Incorporating AI in emissions reduction efforts within the oil and gas industry - Hatem Nasr Ph.D, SoftServe
-    Using AI to optimize production processes and minimize downtime - Amey Ambade, SLB
-    Knowledge in Oil & Gas: Current challenges and the role of AI - Diti Sood, Bolo AI
-    Leveraging Science-Based AI to accelerate critical decision support in upstream, midstream and downstream operations - Ashwin Hegde, NobleAI
-    Secure, Reliable Generative AI for the Enterprise - Stephen Warner, C3.ai

-    Employing neural operators for faster forecasting
-    Utilizing transfer learning to boost model development
-    Harnessing generative AI to accelerate geomodelling

-    Highlighting the benefits of DOE-industry partnerships in optimizing AI operations
-    Discussing case studies and successful examples where collaborative efforts have led to groundbreaking advancements
-    Emphasizing research capabilities and the industry's operational insights to optimize AI applications, enhance operational efficiency, and drive sustainable practices in oil and gas exploration and production
 

-    Analyzing and identifying the functions of organizations where AI can commonly be used 
-    Aligning Gen AI applications with areas of high potential value delivery 
-    Highlighting how Gen AI can aid executives and managers in analyzing complex scenarios and making informed decisions regarding the safety, sustainability, profitability, and productivity of operations
 

Engage with our panelists as they discuss real-world applications and success stories, providing valuable insights into the future of ESP lift optimization.
-    Fully autonomous ESP well pumping under AI supervision (surveillance)
-    Leveraging AI-driven optimization strategies for different operational scenarios
-    Fusion of Edge & Cloud computing for intelligent well optimization
-    Data-driven well design processes analysis to minimize operational costs and improve well conditions
 

-    Integrating cybersecurity into the AI development lifecycle from the outset to reap the benefits 
-    Developing robust data anonymization, encryption, and strict access controls to maintain data privacy
-    Conducting thorough security assessments and due diligence when integrating external AI technologies

-    Leveraging on the potential of quantum computing to address complex challenges in Oil and gas, including optimizing reservoir simulations and molecular modeling
-    Accelerating the training of AI data sets to reduce the time required for optimization
-    Use cases highlighting how quantum simulations improve oil discovery and exploration

-    Discussing collaborative opportunities between the oil & gas industry and other sectors to expedite the adoption of AI
-    Debating how overcoming technical challenges in diverse sectors can be applied to the oil & gas industry as we look to scale AI
-    Adapting and repurposing innovations in IoT and Robotics to AI integration
 

-    Understand how diverse teams are unlocking the potential of Generative AI in the Enterprise
-    Enlightening exploration into this transformative technology, and a better understand of its nuances
-    Explore and celebrate the accelerated time-to-value AI brings to business results

-    Customer and Field focused use cases and solutions that leverage Generative AI and Data 
-    R&D and Marketing use cases and solutions that leverage Generative AI
-    Enterprise Business Functions (Supply Chain, Finance, Cybersecurity) use cases that leverage Generative AI and Enterprise Data
 

The lightning round will showcase case studies from a series of speakers who will present their update on: Problem, challenge + solution. 

1. Simple access to complex industrial data drives AI driven operational efficiencies - Prabu Parthasarathy, Cognite
2. Securing AI Innovation: Emerging Risks & Security Defenses - Hailey Buckingham, Director of Data Science, HiddenLayer
3. Unlocking the Power of Open Source Large Language Models: The Crucial Role of Internal Data - Evgenia Polyakova, Digital Science Lead, Bp

Generative AI can augment, automate and accelerate work. This session will explore how AI technologies can transform and optimize your field service operations, improving efficiency, customer satisfaction, and overall business outcomes.

-    Exploring how the fusion of Field Data and Artificial Intelligence is revolutionizing well production
-    Demonstrate how AI analyzes large volumes of field data to improve operations while decreasing unscheduled downtime
-    Tackling challenges like data privacy and cost, but you'll walk away understanding that the future of safer, more responsible business lies in the nexus of Field Data and AI
 

-    Discussing the challenges of implementing AI in the oil and gas industry
-    Exploring the potential of collaboration between companies and technology providers to drive AI innovation
-    Speculating the future of emerging technologies in the sector