• Address challenges of fragmented and low-quality data and its impact on operational efficiency and cybersecurity
• Strengthen data governance by developing frameworks that ensure data quality, integrity, and security, enabling reliable analytics and scalable AI solutions
• Explore how data-driven insights and advanced analytics can lead to smarter decision-making and operational excellence in oil and gas exploration and production
John Hung, Senior Director, Global Category (Operations), bp
Shawn Quimby, VP and Chief Information and Technology Officer, CNX
Michael O'Connell, Chief Analytics Officer, Spotfire
Sonali Singh, SVP Product, Quorum Software
Moderator: Jim Claunch, Expert Partner, Bain & Company
In today’s Oil & Gas environment, data-driven decision making is transforming how operators leverage and act on data. The challenge is no longer data scarcity but unlocking insights from assets while embedding expertise into operational models. Traditional software is increasingly challenged by the complexity of modern operations, constraining workflows and slowing progress toward autonomy; in response, AI-authored software is emerging to overcome these limitations and lower total cost of ownership when rigorously validated and continuously monitored. At the same time, hardware is reasserting its role as a critical enabler of real-time intelligence and execution.
• Recognize the limitations of traditional software and its impact on operational workflows and autonomy
• Explore modern data-driven architectures designed for today’s O&G operations and a roadmap for success
• Review practical examples of how O&G companies are transforming operations
George H. Young, Vice President, Secure Digital Operations, Rockwell Automation
NexTier Completion Solutions, a Patterson-UTI company, is leveraging Google Cloud's scalable infrastructure and AI capabilities to transform data and automation across oil and gas well completions, driving efficiency, safety, and customer transparency.
Â
• Explore how Google Cloud's real-time data processing foundation and Vertex AI enable NexTier to deliver predictive analytics for equipment maintenance and optimize operational workflows across wellsite operations.
• Discover how NexTier is accelerating its SAP RISE migration on Google Cloud, using the Cortex Framework, SAP Datasphere, and BigQuery to consolidate data integration and drive back-office operational efficiency post-merger with Patterson-UTI.
• Learn how NexTier is deploying Gemini and a GenAI-enabled transformation agenda alongside Customer Engagement Suite to enhance customer experiences and advance its enterprise-wide digital transformation.
Â
Lorena Spiwak, Account Executive, Google Cloud
Umar Farooq, CIO, Patterson UTI
Seventy percent of data-driven initiatives fail - and not because of the technology. They fail upstream, long before the first insight is ever acted on. The patterns are remarkably consistent across the industry, and so are the missed opportunities to course-correct early.
- Identify why data initiatives fail before delivering value, and where to intervene early to prevent misalignment across data, process, and ownership
- Apply a proven framework (VOICE) to align data, technology, and teams – turning fragmented efforts into scalable, value-driven outcomes
- Learn from a real E&P case how to navigate complex data environments and high-pressure timelines to successfully unlock measurable business impact
Holly Frankenfield, Chief Technology Officer, Energy Point Consulting
• Build practical skills in data governance, focusing on creating clear data ownership policies and ethical handling practices
• Learn techniques for improving data quality and security
• Work in teams to develop data governance strategies that align with organizational goals and foster a culture of data-driven decision-making
Matthew Vandevere, VP, Strategic Services, Precisely
• Discover how AI can address gaps in legacy data to improve exploration and production forecasting
• Learn about AI-driven data quality enhancements that streamline drilling processes and showcase predictive analytics applications
• Explore strategies for integrating real-time data with AI to support evolving technologies and enhance forecasting accuracy
Whitney Olmsted, Managing Director – Energy and Natural Resources Industry Lead, CapTech
Susan Nash, Director of Innovation and Emerging Science and Technology, American Association of Petroleum Geologists (AAPG)
Dipti Sankpal, Manager, Analytics and AI Enablement, Oxy
Shaun Baker, Senior Director of Technology, Landmark Software and Services, HalliburtonÂ
Moderator: Tina Johnson, Strategic Advisor, HavenSquare Consulting
• Understand why horizontal, general-purpose AI falls short in energy and other regulated sectors, and explore the need for domain-grounded models, governed data, and layered system design.
• Break down the architecture behind Enverus ONE – covering models, data infrastructure, tools, orchestration, agent teams, and governance – with real-world performance gains in domain-specific tasks.
• Learn the key patterns that enable vertical AI systems to scale effectively, alongside common failure modes when critical architectural layers are overlooked.
Â
Akash Sharma, Vice President of Product Management, Enverus
• Explore key trends shaping AI adoption in oil and gas, including the rise of agentic AI and the opportunity to redesign how work gets done across upstream, midstream, and downstream operations
• Discover how Deloitte's Enterprise AI Navigator identifies which workflows are suited for agentification and evaluates financial and workforce impact
• Leave with a practical framework for moving from fragmented pilots to enterprise-wide AI transformation
Anand Radia, Principal, Deloitte Consulting LLP
Toby Summers, Principal, Deloitte Consulting LLP
• Examine the structural "expertise cliff" facing upstream operators and why conventional data platforms are failing to convert vast data assets into sound operational decisions
• Explore a practical framework for unifying core enterprise systems into a governed, context-rich layer for Work AI
• Gain a concrete roadmap for operationalizing institutional knowledge, transforming what was once tribal and tacit into a governed, scalable, and trusted AI capability
Kelly Xu, Head of Solutions Marketing, Glean
• Explore the journey from decentralized to centralized digital systems and the benefits they bring in terms of efficiency and data integration
• Discuss strategies for fostering a culture that embraces digital transformation and the structural adjustments required for successful implementation
• Learn how centralizing data processes can streamline operations, reduce costs, and enhance productivity across the oil and gas value chain
Rob Clark, Manager, Data Engineering, Ovintiv
Moderator: Raj Rapaka, Digital Transformation / Technology Scouting & Ventures Advisor, ExxonMobil
An exclusive, operators-only collaborative forum where industry peers can freely exchange insights and experiences with the latest technologies in oil and gas. To apply to attend, please email hannah.lovibond@thomsonreuters.com.
Zac Greenawalt, Production Management, bp
Swapna Setty, Director – Enterprise Data Management, Oxy
• Equip your organization to navigate the evolving landscape of data governance regulations and ensure compliance while maximizing the potential of automated systems
• Explore comprehensive governance models that establish ethical data practices and clear ownership, fueling operational excellence and decision-making improvements
Brian Jones, Chief Digital & Information Officer, California Resources
Gilles Hennenfent, Strategic AI Initiatives Lead – Subsurface & Production, Chevron
Kelli Law, VP, AI Product and Value, Diamondback Energy
Harish Chhokra, Enterprise Data & AI Leader, Murphy Oil
Moderator: Tina Johnson, Strategic Advisor, HavenSquare Consulting
• Explore current technological gaps and missing capabilities in operations that hinder efficiency
• Hear operators discuss the innovative technologies they desire to enhance productivity and streamline processes
• Engage in discussions on potential solutions and strategies for effective technology adoption
Brian Jones, Chief Digital & Information Officer, California Resources
Patrick Bangert, VP & Chief of AI, Oxy
Kelli Law, VP, AI Product and Value, Diamondback Energy
Moderator: Joseph Reilly, President SEG, Chief Research Geoscientist, ExxonMobil (retired)
• Understand how agentic AI differs from traditional automation and generative AI — and the implications for real-time operational decision-making
• Explore practical, real-world use cases for AI agents across energy and utilities, from field service optimisation to control centre operations
• Learn how to scale AI across legacy IT and OT environments while maintaining governance, reliability and trust in highly regulated industries
Â
Ashish Tyagi, Technology Director, Publicis Sapient
Adi Eswar, Sr. Analytics and AIML Specialist GTM, AWS Energy
- Ensure industrial data flows bidirectionally to deliver real-time insights for production optimisation, asset health, and faster decision-making in complex energy systems
- Break down silos by using vendor-neutral data gateways to aggregate, contextualise, and securely distribute operational data across the enterprise
- Enable validated AI-driven decisions to flow safely back into operations, bridging the gap between analytics and the control room
Â
Ali Solak, Sr. Business Development Manager, TGS
Moderator- Jim Claunch, Expert Partner, Bain & Company
Experience the excitement of DDOG Shark Tank, where entrepreneurs and tech innovators pitch their groundbreaking ideas in just 5 minutes. Â Following the pitches, there will be a 10-minute Q&A session, where you can engage with the presenters before casting your vote to decide the next big breakthrough.
Â
Eligible companies are early‑stage energy innovators: under five years old, under 50 employees, and under $2M in revenue.
Â
If you are interested in taking part, please email hannah.lovibond@thomsonreuters.com.
Â
Hosts: Sebastian Gass, Chief Technology Officer, Quantum Capital Group
Abhinav Jain, Co-Founder & Managing Partner, Titanium Innovation Investments
Â
Amanpreet Kaur Kaur, Co-founder and Chief AI, Technology Officer, Equipt.ai
Amarpal Nanda, Co-founder & COO, Equipt.ai
Bryan Gregory, Advisor, Luminah.ai
Rudy Lacovara, CEO, Petrobricks
• Assess where your organization sits across the Levels of AI Success, identifying gaps in data governance, integration, and secure AI adoption
• Leave with a practical framework to align AI with business priorities, combining human expertise and AI to improve asset performance, accelerate decision-making, and deliver consistent ROI
Catalina Herrera, Field CDO, Dataiku
• Explore strategies for organizing data collection across business units and geographies, ensuring seamless integration during M&As
• Discuss the complexities of integrating diverse data systems and models, focusing on overcoming fragmentation and ensuring data consistency
• Highlight best practices for unifying internal data models disrupted by M&A activity
Jorge Haiek, Director, Information Technology, California Resources
Swapna Setty, Director – Enterprise Data Management, Oxy
Christopher Tysor, M&A Data Integration, ExxonMobil
Senior Executive, Cohere
Moderator: Rebecca Hofmann, President and CEO, Blockchain for Energy (B4E)
• Explore AI-driven solutions for equipment scanning and real-time monitoring to identify vulnerabilities
• Discuss tailored vulnerability management programs and risk assessment strategies to protect both IT and OT systems
• Learn strategies for future-proofing cybersecurity against emerging threats and fostering collaboration between IT and OT teams
Peter Ream, Head of Cybersecurity Operations, Murphy Oil
Moderator: Jose Pires, Founder & CEO, Global Excellence & Innovation
NTT DATA's 2026 Global AI Report, based on a survey of 2,567 senior executives across 35 countries and 15 industries reveals a striking finding: only 15% of organizations qualify as true AI Leaders. These companies are not simply spending more. They are doing something structurally different. They report significantly higher revenue growth, stronger profit margins, and a compounding competitive advantage that the remaining 85% are struggling to close.
Â
• Discover why only 15% of organizations qualify as true AI Leaders, and the three structural traits – strategy, operating model, and execution discipline – that separate them from the pack and drive compounding competitive advantage.
• Explore where oil and gas stands on the global AI maturity spectrum, examining the specific barriers of fragmented legacy data, talent gaps, and pilot proliferation that keep operators stuck, alongside the four upstream zones with the highest proven ROI: predictive maintenance, drilling optimization, reservoir modeling, and supply chain.
• Learn how to bridge the gap between AI experimentation and real business value, with a practical 90-day action plan to build the governance foundation and operating model needed to move your organization toward AI leadership.
Â
Amit Prakash, Head of Energy & Renewables, NTT Data
From Dashboards to Digital Reliability Assistants: Continuous Monitoring That Earns Trusted Decision Support
• Transform fragmented operational, maintenance, and engineering data into a unified asset view.
• Establish trusted data foundations that support reliable analytics and AI-driven decision support.
• Explore how AI-powered digital assistants are evolving compressor monitoring from alarm management to guided operational decision-making.
Â
Jesson Joy, CEO, Qubryx
Maya S. Menon, Sr. Manager, Asset Management & Data Governance, SoCalGas
Vida Gholami, Asset Data and Analytics Manager, SoCalGas
Patrick Bangert draws on his newly published book to share frameworks and lessons behind building AI programs that work at enterprise scale, covering how to structure your AI team, prioritize the right use cases, and embed governance and ethics from the foundation up.
Patrick Bangert, VP & Chief of AI, Oxy
• Reevaluate the projected $200–$400 billion cumulative value AI can bring to the oil and gas sector by 2030
• Dive deeper into advanced AI applications for upstream operations, including well placement, production forecasting, safety, and environmental impact
• Gain updated strategies for evaluating, implementing, and scaling AI solutions within your organization
Patrick Bangert, VP & Chief of AI, Oxy
Moderator: Ian Wells, Expert Associate Partner, Data Science, Bain & Company
A series of case studies where speakers share real-world examples of how they've implemented AI into their business, followed by a 20-minute Q&A. To take part, email hannah.lovibond@thomsonreuters.com.
André Backen, CEO, Oliasoft
Kelly Kohlleffel, Head of Solutions Marketing, Fivetran
Marc Hebert, Managing Partner, Dakota Analytics
• Understand key cybersecurity frameworks tailored for protecting critical infrastructure in oil and gas
• Learn how to develop effective cybersecurity policies and risk management strategies
• Explore strategies to cultivate a culture of cybersecurity awareness and utilize advanced technologies to enhance incident response and recovery
• Understand why 70% of the value generated by AI is derived from people, process redesign, and behavioral adaptation
• Explore the foundational pillars for successful adoption across AI Strategy & Execution, Workforce Transformation, and Cultural Adaptation
• Discover how to nurture intrapreneurial energy, courage, and discipline to build a high-performance culture
Jose Pires, Founder & CEO, Global Excellence & Innovation
• Explore the importance of soft skills and talent development in adapting to AI-driven environments
• Discuss strategies to manage AI resistance and encourage workforce acceptance and engagement
• Highlight the role of human elements in ensuring effective data management and decision-making alongside AI systems
Raj Rapaka, Digital Transformation / Technology Scouting & Ventures Advisor, ExxonMobil
Moderator: Dipti Sankpal, Manager, Analytics and AI Enablement, Oxy
• Address challenges of fragmented and low-quality data and its impact on operational efficiency and cybersecurity
• Strengthen data governance by developing frameworks that ensure data quality, integrity, and security, enabling reliable analytics and scalable AI solutions
• Explore how data-driven insights and advanced analytics can lead to smarter decision-making and operational excellence in oil and gas exploration and production
John Hung, Senior Director, Global Category (Operations), bp
Shawn Quimby, VP and Chief Information and Technology Officer, CNX
Michael O'Connell, Chief Analytics Officer, Spotfire
Sonali Singh, SVP Product, Quorum Software
Moderator: Jim Claunch, Expert Partner, Bain & Company
In today’s Oil & Gas environment, data-driven decision making is transforming how operators leverage and act on data. The challenge is no longer data scarcity but unlocking insights from assets while embedding expertise into operational models. Traditional software is increasingly challenged by the complexity of modern operations, constraining workflows and slowing progress toward autonomy; in response, AI-authored software is emerging to overcome these limitations and lower total cost of ownership when rigorously validated and continuously monitored. At the same time, hardware is reasserting its role as a critical enabler of real-time intelligence and execution.
• Recognize the limitations of traditional software and its impact on operational workflows and autonomy
• Explore modern data-driven architectures designed for today’s O&G operations and a roadmap for success
• Review practical examples of how O&G companies are transforming operations
Â
George H. Young, Vice President, Secure Digital Operations, Rockwell Automation
NexTier Completion Solutions, a Patterson-UTI company, is leveraging Google Cloud's scalable infrastructure and AI capabilities to transform data and automation across oil and gas well completions, driving efficiency, safety, and customer transparency.Â
• Explore how Google Cloud's real-time data processing foundation and Vertex AI enable NexTier to deliver predictive analytics for equipment maintenance and optimize operational workflows across wellsite operations.
• Discover how NexTier is accelerating its SAP RISE migration on Google Cloud, using the Cortex Framework, SAP Datasphere, and BigQuery to consolidate data integration and drive back-office operational efficiency post-merger with Patterson-UTI.
• Learn how NexTier is deploying Gemini and a GenAI-enabled transformation agenda alongside Customer Engagement Suite to enhance customer experiences and advance its enterprise-wide digital transformation.
Â
Lorena Spiwak, Account Executive, Google Cloud
Umar Farooq, CIO, Patterson UTI
Seventy percent of data-driven initiatives fail - and not because of the technology. They fail upstream, long before the first insight is ever acted on. The patterns are remarkably consistent across the industry, and so are the missed opportunities to course-correct early.
- Identify why data initiatives fail before delivering value, and where to intervene early to prevent misalignment across data, process, and ownership
- Apply a proven framework (VOICE) to align data, technology, and teams – turning fragmented efforts into scalable, value-driven outcomes
- Learn from a real E&P case how to navigate complex data environments and high-pressure timelines to successfully unlock measurable business impact
Holly Frankenfield, Chief Technology Officer, Energy Point Consulting
• Discover how AI can address gaps in legacy data to improve exploration and production forecasting
• Learn about AI-driven data quality enhancements that streamline drilling processes and showcase predictive analytics applications
• Explore strategies for integrating real-time data with AI to support evolving technologies and enhance forecasting accuracy
Whitney Olmsted, Managing Director – Energy and Natural Resources Industry Lead, CapTech
Susan Nash, Director of Innovation and Emerging Science and Technology, American Association of Petroleum Geologists (AAPG)
Dipti Sankpal, Manager, Analytics and AI Enablement, Oxy
Shaun Baker, Senior Director of Technology, Landmark Software and Services, HalliburtonÂ
Moderator: Tina Johnson, Strategic Advisor, HavenSquare Consulting
• Understand why horizontal, general-purpose AI falls short in energy and other regulated sectors, and explore the need for domain-grounded models, governed data, and layered system design.
• Break down the architecture behind Enverus ONE – covering models, data infrastructure, tools, orchestration, agent teams, and governance – with real-world performance gains in domain-specific tasks.
• Learn the key patterns that enable vertical AI systems to scale effectively, alongside common failure modes when critical architectural layers are overlooked.
Â
Akash Sharma, Vice President of Product Management, Enverus
• Explore the journey from decentralized to centralized digital systems and the benefits they bring in terms of efficiency and data integration
• Discuss strategies for fostering a culture that embraces digital transformation and the structural adjustments required for successful implementation
• Learn how centralizing data processes can streamline operations, reduce costs, and enhance productivity across the oil and gas value chain
Rob Clark, Manager, Data Engineering, Ovintiv
Moderator: Raj Rapaka, Digital Transformation / Technology Scouting & Ventures Advisor, ExxonMobil
• Equip your organization to navigate the evolving landscape of data governance regulations and ensure compliance while maximizing the potential of automated systems
• Explore comprehensive governance models that establish ethical data practices and clear ownership, fueling operational excellence and decision-making improvements
Brian Jones, Chief Digital & Information Officer, California Resources
Gilles Hennenfent, Strategic AI Initiatives Lead – Subsurface & Production, Chevron
Kelli Law, VP, AI Product and Value, Diamondback Energy
Harish Chhokra, Enterprise Data & AI Leader, Murphy Oil
Moderator: Tina Johnson, Strategic Advisor, HavenSquare Consulting
• Explore current technological gaps and missing capabilities in operations that hinder efficiency
• Hear operators discuss the innovative technologies they desire to enhance productivity and streamline processes
• Engage in discussions on potential solutions and strategies for effective technology adoption
Brian Jones, Chief Digital & Information Officer, California Resources
Patrick Bangert, VP & Chief of AI, Oxy
Kelli Law, VP, AI Product and Value, Diamondback Energy
Moderator: Joseph Reilly, President SEG, Chief Research Geoscientist, ExxonMobil (retired)
- Ensure industrial data flows bidirectionally to deliver real-time insights for production optimisation, asset health, and faster decision-making in complex energy systems
- Break down silos by using vendor-neutral data gateways to aggregate, contextualise, and securely distribute operational data across the enterprise
- Enable validated AI-driven decisions to flow safely back into operations, bridging the gap between analytics and the control room
Â
Ali Solak, Sr. Business Development Manager, TGS
Moderator- Jim Claunch, Expert Partner, Bain & Company
• Explore strategies for organizing data collection across business units and geographies, ensuring seamless integration during M&As
• Discuss the complexities of integrating diverse data systems and models, focusing on overcoming fragmentation and ensuring data consistency
• Highlight best practices for unifying internal data models disrupted by M&A activity
Jorge Haiek, Director, Information Technology, California Resources
Swapna Setty, Director – Enterprise Data Management, Oxy
Christopher Tysor, M&A Data Integration, ExxonMobil
Senior Executive, Cohere
Moderator: Rebecca Hofmann, President and CEO, Blockchain for Energy (B4E)
• Explore AI-driven solutions for equipment scanning and real-time monitoring to identify vulnerabilities
• Discuss tailored vulnerability management programs and risk assessment strategies to protect both IT and OT systems
• Learn strategies for future-proofing cybersecurity against emerging threats and fostering collaboration between IT and OT teams
Peter Ream, Head of Cybersecurity Operations, Murphy Oil
Moderator: Jose Pires, Founder & CEO, Global Excellence & Innovation
NTT DATA's 2026 Global AI Report, based on a survey of 2,567 senior executives across 35 countries and 15 industries reveals a striking finding: only 15% of organizations qualify as true AI Leaders. These companies are not simply spending more. They are doing something structurally different. They report significantly higher revenue growth, stronger profit margins, and a compounding competitive advantage that the remaining 85% are struggling to close.Â
• Discover why only 15% of organizations qualify as true AI Leaders, and the three structural traits – strategy, operating model, and execution discipline – that separate them from the pack and drive compounding competitive advantage.
• Explore where oil and gas stands on the global AI maturity spectrum, examining the specific barriers of fragmented legacy data, talent gaps, and pilot proliferation that keep operators stuck, alongside the four upstream zones with the highest proven ROI: predictive maintenance, drilling optimization, reservoir modeling, and supply chain.
• Learn how to bridge the gap between AI experimentation and real business value, with a practical 90-day action plan to build the governance foundation and operating model needed to move your organization toward AI leadership.
Â
Amit Prakash, Head of Energy & Renewables, NTT Data
From Dashboards to Digital Reliability Assistants: Continuous Monitoring That Earns Trusted Decision Support
• Transform fragmented operational, maintenance, and engineering data into a unified asset view.
• Establish trusted data foundations that support reliable analytics and AI-driven decision support.
• Explore how AI-powered digital assistants are evolving compressor monitoring from alarm management to guided operational decision-making.
Â
Jesson Joy, CEO, Qubryx
Maya S. Menon, Sr. Manager, Asset Management & Data Governance, SoCalGas
Vida Gholami, Asset Data and Analytics Manager, SoCalGas
Patrick Bangert draws on his newly published book to share frameworks and lessons behind building AI programs that work at enterprise scale, covering how to structure your AI team, prioritize the right use cases, and embed governance and ethics from the foundation up.
Patrick Bangert, VP & Chief of AI, Oxy
• Reevaluate the projected $200–$400 billion cumulative value AI can bring to the oil and gas sector by 2030
• Dive deeper into advanced AI applications for upstream operations, including well placement, production forecasting, safety, and environmental impact
• Gain updated strategies for evaluating, implementing, and scaling AI solutions within your organization
Patrick Bangert, VP & Chief of AI, Oxy
Moderator: Ian Wells, Expert Associate Partner, Data Science, Bain & Company
A series of case studies where speakers share real-world examples of how they've implemented AI into their business, followed by a 20-minute Q&A. To take part, email hannah.lovibond@thomsonreuters.com.
André Backen, CEO, Oliasoft
Kelly Kohlleffel, Head of Solutions Marketing, Fivetran
Marc Hebert, Managing Partner, Dakota Analytics
• Understand why 70% of the value generated by AI is derived from people, process redesign, and behavioral adaptation
• Explore the foundational pillars for successful adoption across AI Strategy & Execution, Workforce Transformation, and Cultural Adaptation
• Discover how to nurture intrapreneurial energy, courage, and discipline to build a high-performance culture
Jose Pires, Founder & CEO, Global Excellence & Innovation
• Explore the importance of soft skills and talent development in adapting to AI-driven environments
• Discuss strategies to manage AI resistance and encourage workforce acceptance and engagement
• Highlight the role of human elements in ensuring effective data management and decision-making alongside AI systems
Raj Rapaka, Digital Transformation / Technology Scouting & Ventures Advisor, ExxonMobil
Moderator: Dipti Sankpal, Manager, Analytics and AI Enablement, Oxy
• Build practical skills in data governance, focusing on creating clear data ownership policies and ethical handling practices
• Learn techniques for improving data quality and security
• Work in teams to develop data governance strategies that align with organizational goals and foster a culture of data-driven decision-making
Matthew Vandevere, VP, Strategic Services, Precisely
• Explore key trends shaping AI adoption in oil and gas, including the rise of agentic AI and the opportunity to redesign how work gets done across upstream, midstream, and downstream operations
• Discover how Deloitte's Enterprise AI Navigator identifies which workflows are suited for agentification and evaluates financial and workforce impact
• Leave with a practical framework for moving from fragmented pilots to enterprise-wide AI transformation
Anand Radia, Principal, Deloitte Consulting LLP
Toby Summers, Principal, Deloitte Consulting LLP
• Examine the structural "expertise cliff" facing upstream operators and why conventional data platforms are failing to convert vast data assets into sound operational decisions
• Explore a practical framework for unifying core enterprise systems into a governed, context-rich layer for Work AI
• Gain a concrete roadmap for operationalizing institutional knowledge, transforming what was once tribal and tacit into a governed, scalable, and trusted AI capability
Kelly Xu, Head of Solutions Marketing, Glean
An exclusive, operators-only collaborative forum where industry peers can freely exchange insights and experiences with the latest technologies in oil and gas. To apply to attend, please email hannah.lovibond@thomsonreuters.com.
Zac Greenawalt, Production Management, bp
Swapna Setty, Director – Enterprise Data Management, Oxy
• Understand how agentic AI differs from traditional automation and generative AI — and the implications for real-time operational decision-making
• Explore practical, real-world use cases for AI agents across energy and utilities, from field service optimisation to control centre operations
• Learn how to scale AI across legacy IT and OT environments while maintaining governance, reliability and trust in highly regulated industries
Â
Ashish Tyagi, Technology Director, Publicis Sapient
Adi Eswar, Sr. Analytics and AIML Specialist GTM, AWS Energy
Experience the excitement of DDOG Shark Tank, where entrepreneurs and tech innovators pitch their groundbreaking ideas in just 5 minutes. Â Following the pitches, there will be a 10-minute Q&A session, where you can engage with the presenters before casting your vote to decide the next big breakthrough.
Â
Eligible companies are early‑stage energy innovators: under five years old, under 50 employees, and under $2M in revenue.
Â
If you are interested in taking part, please email hannah.lovibond@thomsonreuters.com.
Â
Hosts: Sebastian Gass, Chief Technology Officer, Quantum Capital Group
Abhinav Jain, Co-Founder & Managing Partner, Titanium Innovation Investments
Â
Amanpreet Kaur Kaur, Co-founder and Chief AI, Technology Officer, Equipt.ai
Amarpal Nanda, Co-founder & COO, Equipt.ai
Bryan Gregory, Advisor, Luminah.ai
Rudy Lacovara, CEO, Petrobricks
• Assess where your organization sits across the Levels of AI Success, identifying gaps in data governance, integration, and secure AI adoption
• Leave with a practical framework to align AI with business priorities, combining human expertise and AI to improve asset performance, accelerate decision-making, and deliver consistent ROI
Catalina Herrera, Field CDO, Dataiku
• Understand key cybersecurity frameworks tailored for protecting critical infrastructure in oil and gas
• Learn how to develop effective cybersecurity policies and risk management strategies
• Explore strategies to cultivate a culture of cybersecurity awareness and utilize advanced technologies to enhance incident response and recovery
