DRAFT AGENDA SUBJECT TO CHANGE
DAY ONE - Thursday, 11th June 2026
08:15 - 08:55
REGISTRATION, REFRESHMENTS AND NETWORKING
09:00 - 09:10
CHAIR'S WELCOME
Prashant Soni, CEO, Visco
THINK TANK CHALLENGES
We kick off the summit with our NEW ‘Think Tanks,’ delivered over three separate 25-minute sessions. The sessions consist of 10 tables of 8-10 attendees, including sponsors and industry leaders.
The 10 tables will be labelled with a specific industry challenge. Pre-event, all guests will choose 3 out of the 10 challenges that are most interesting and relevant to them. During each session, the group of like-minded attendees will work together to find a solution and potential business impact.
09:15 - 09:40
Think Tank Challenge 1
TABLE ONE:
How can we build a cohesive digital training programme that adapts to a multigenerational workforce and offers continuous, on-the-job competency?
Led by Manas Sahoo, Chief Digital innovation Advisor for Energy industry, EMEA & Jannik Richau, BTM Value Advisor, SAP
TABLE TWO:
How do we connect operational technology and people with private wireless and AI applications for human-machine teaming and developing a roadmap for automation in oil & gas site without compromising safety and security?
Led by Kirsi Leppa, Head of Industrial Applications, Nokia
TABLE THREE:
How are we using GenAI to harness advanced analytics to transform raw asset data into predictive maintenance strategies that have a measurable impact on the bottom line?
Led by Lucio Arrizabalaga, Head of Oil and Gas, NTT Data
TABLE FOUR:
As AI agents begin making autonomous operational decisions at the network edge — from triggering maintenance actions to detecting emissions events — how should oil & gas operators define the boundaries of machine authority and human control?
Led by Padraig Stapleton, SVP & Chief Product Officer of ZEDEDA
TABLE FIVE:
What strategies improve and enhance operational governance and decision-making processes utilising AI in data management?
Led by Adore Shuko, Global Data Privacy Manager, bp
TABLE SIX:
As AI becomes layered onto digital twins, how do we ensure recommendations remain operationally trustworthy?
Led by Cristian Spica, Senior Client Solutions Architect, OLI
TABLE SEVEN:
How do we ensure the change management process can ensure that digital transformation is embraced as a tool for empowerment by IT and OT disciplines?
Led by Mark Van Der Heijden, Principal Process Engineer McDermott
TABLE EIGHT:
What are the proactive approaches to monitor critical equipment using edge computing, IoT devices, and AI-driven analytics to predict failures before they occur?
Led by Alf Fredvik, Product Line Director – Control, Automation and Condition Monitoring, NOV
TABLE TEN:
What does the critical path look like to move a project from pilot to permanent infrastructure asset that requires greater access to cloud datasets collected by multiple stakeholders?
Led by Stephen Boccioli, VP of Oil and Gas Solutions, Cognite
09:45 - 10:10
Think Tank Challenge 2
Topics repeated as above.
10:15 - 10:40
Think Tank Challenge 3
Topics repeated as above.
10:45 - 11:10
MORNING COFFEE AND NETWORKING
11:15 - 11:40
OPENING KEYNOTE
Optimising Digital Transformation in the EMEA Oil and Gas Industry
- Data-driven innovation in oil and gas is critical. Geopolitical shifts and policy changes are pressing hydrocarbon margins and capex decisions.
- AI, data optimisation, advanced analytics, predictive maintenance are all now an integral part of the successful playbook, from upstream to downstream.
- This keynote will explore legacy systems integration with latest tech innovation – based on latest updates from European expert user group – to improve operational excellence and agility in order to remain competitive
Michel Teughels, Operations Digital Innovation and Strategy Manager, ExxonMobil Europe
Meeting session 1
11:45 - 12:10
CASE STUDY
From Central Operations to Intelligent Operations: The Transformation Journey to Remote, Data-Driven Decision Making
- AI applications in next-gen oil & gas infrastructure
- Strategies to strengthen intelligent operations in assets
- How is machine learning optimising performance in E&P, transportation and refining / gas processing?
- What data-driven strategy implementation and learnings have been achieved by European and International operators?
Rafael Coronel, Digital BDM – Process Engineering, SLB
Meeting session 2
12:15 - 12:40
KEYNOTE
Technology Implementation and Project Scaling – Where To Begin?
- Scaling pilot projects to enterprise-wide adoption and integration challenges with legacy systems
- How do operators effectively plan a roadmap to integrate technologies like AI, IoT, and digital twins into their core operations?
- Approaches to digital transformation and instilling a data-driven culture in your operation
Ajish Varghese, Technology Lead, Harbour Energy
Meeting session 3
12:40 - 13:40
NETWORKING LUNCH
13:45 - 14:10
AFTERNOON OPENING KEYNOTE
When manual valves become a risk you cannot control!
- Small mistakes can quickly become serious incidents – A missed manual check or a valve left in the wrong position may seem minor, but it can create significant operational risk.
- Incorrect valve positions are a major contributor – Studies show they can contribute to up to 40% of incidents, often driven by human error.
- Terminals face this risk every year. Many terminals record 1–5 valve-related incidents annually, each with the potential to become bigger, more costly, and harder to control.
- Real-time visibility changes the story – Wireless IIoT valve position monitoring makes manual valves visible in the control room, reducing guesswork and reliance on memory.
- Prevention starts with visibility – Every avoided incident protects more than safety alone — it also protects efficiency, budgets, and reputation.
Frank Gliessen, CEO, Aloxy
Meeting session 4
14:15 - 14:40
CASE STUDY
A digitalisation framework for emissions reduction in oil & gas assets and supply chains
- Integration of Digitalization into Legacy Assets for Methane Mitigation
- Digitalization for Production Sustenance in Legacy Assets
- How Operators Could Derisk Operations Under Regulatory Pressure for Emissions Reduction: Practical Strategies for SWOT in AI applications
Jackson Okpetu, Head of Projects Commissioning, TotalEnergies EP
Meeting session 5
14:45 - 15:10
CASE STUDY
De-Risking Digital, Enabling Energy Security: How AI & Automations Make O&G Transformations Stick
- The O&G Digital Dilemma (Volatile prices, aging assets, emissions rules, cyber risk, geo-political risks, supply chain disruptions. Digital transformation is urgent but complex and risky for asset-heavy operators)
- What Breaks Transformations (Data silos from wellhead to ERP. Manual processes in production allocation, operations, JV billing, turnarounds, heterogeneous landscape and processes, Lack of automation and best practices in transformation projects. Security gaps across IT/OT. Change resistance)
- The AI-Enabled SAP Integrated Tool Chain
- Customer Experiences and Examples
Manas Sahoo, Chief Industry Advisor, Energy | Chemicals, SAP EMEA
Tina Günter, IT Manager License/ Contract/ Vendor, DEW21
Sarah Siam, Senior Consultant – Digital Transformation Advisory, Exxeta
Meeting session 6
15:10-15:35
AFTERNOON NETWORKING AND REFRESHMENTS
15:40 - 16:05
AFTERNOON KEYNOTE
From Industrial IoT to AI-Ready Operations: Turning Oil & Gas Data into Real-Time Decisions
Oil and gas companies have invested heavily in sensors, connectivity, and digital platforms. Yet many still struggle with a simple question: why is it so hard to turn operational data into fast, reliable decisions?
This session focuses on how to move beyond fragmented data and pilots toward a more scalable, practical approach. We will walk through a proven pattern for creating a unified, real-time data backbone across operations. Without replacing existing systems, this approach connects data from field devices to enterprise systems in a consistent and reliable way, making it easier for different teams to access and use the same information.
Using real-world examples, we will show how operators are:
- Monitoring and managing remote assets more effectively, even with limited connectivity
- Reducing unplanned downtime by acting earlier on equipment issues
- Improving consistency of data across sites and regions
- Making operational data easier to access for analytics, reporting, and AI use cases
- Finally, we will outline what it takes to make operational data truly “AI-ready” in practice, so that advanced analytics and automation initiatives can move from isolated pilots to production at scale.
Sven Kobow Principal Industry Architect at HiveMQ
Meeting session 7
16:10 - 16:55
DATA PANEL
The critical role of data optimisation and visualisation in oil & gas E&P
- How is real-time data visualisation improving success rates and margins in E&P operations?
- What are the most effective processes in applying data analytics to provide accurate visibility with upstream data visualisation?
- What are the risks to upstream mapping and projects posed by vulnerabilities in IoT / cloud cybersecurity?
PANELLISTS:
Alwin van Aggelen, Senior Risk Management Consultant, Wolters Kluwer Enablon
Juan Varga, Head of IT, Cybersecurity & Digital Ops, E&P, Moeve
Dániel Szepesi, Intelligent Apps & AI Manager, MOL IT&Digital GBS HU Kft.
Meeting session 8
16:55 - 17:00
CHAIR'S CLOSING REMARKS
Prashant Soni, CEO, Visco
17:00
END OF DAY ONE - DRINKS RECEPTION!
DAY TWO – Friday, 12th June 2026
08:00 - 08:55
REGISTRATION, REFRESHMENTS AND NETWORKING
09:00 - 09:10
CHAIR'S WELCOME
Prashant Soni, CEO, Visco
09:15 - 10:00
ROUNDTABLE DISCUSSIONS
Small group discussions tackling your most pressing challenges.
TABLE ONE
Building an evolving digital QA programme that optimises input from across the organisation
Led by Manas Sahoo, Chief Digital innovation Advisor for Energy industry, EMEA & Jannik Richau, BTM Value Advisor, SAP
TABLE TWO:
Best-practice approaches in human-machine teaming for cutting-edge oil & gas assets focused on safe delivery
Led by Daniel Szepesi, Intelligent Apps and AI Manager, MOL Group
TABLE THREE:
Harnessing AI and advanced analytics to optimise multiple data points and improve asset performance
How are organisations dealing with adoption of new AI technologies? (per GP)
Led by Guilherme Parreira, Automation and Digital Refining Manager, Petrobras
TABLE FOUR:
The Fast-Track Blueprint: Overcoming the 3 Data Bottlenecks Stalling Industrial AI
Led by Stephen Boccioli, VP of Oil and Gas Solutions, Cognite
TABLE FIVE:
Enhancing approaches in AI-driven governance and safeguarding critical data
Led by Adore Shuko, Global Data Privacy Manager, bp
TABLE SIX:
Using Agile and DevOps as complementary approaches to improve software development and delivery processes.
Led by Alexandra Moraru, ROMGAZ
TABLE SEVEN:
Building sustainability and decarbonisation into digital transformation for oil & gas assets
Led by Mark van der Heijden, Principal Process Engineer, McDermott
TABLE EIGHT:
Cognitive IROCs: Applying Agentic AI to Real-Time Operations
Led by Lucio Arrizabalaga Alvarez, Head of Oil and Gas, NTT Data
TABLE NINE:
Enhancing automation and data management efficiency through cloud
Led by José María González Muñoz, Upstream G&G Operations Manager, REPSOL E&P
TABLE TEN:
Breaking Out of Pilot Purgatory: Scaling Data & AI Across Legacy Oil & Gas Infrastructure
Led by Selmane Sekkai , Director, Analytics Engineering, EMEA at Seeq
TABLE ELEVEN:
Your Workforce Is Offline. Your Enterprise Systems Aren’t Helping. Here’s What Comes Next.
Led by Gregoire Aubertin, Principal Solution Consultant, Neptune Software
10:05 - 10:30
FUTURE-FACING DIGITAL KEYNOTE
Autonomous process operations based on comprehensive digital twins
- The critical role of enhanced cybersecurity: adapting strategy and technology to protect OT environments from sophisticated threats.
- Bridging the IT-OT gap: predictions for compatibility and convergence
- Transforming the hydrocarbon landscape: the evolution of Gen AI and LLMs, drone technology and digital twins
Bernd Kalusche, Director Business Development Chemicals & Energy, Siemens Digital Industries
Mario Almeida Calado, Vertical Solution Manager, Siemens Digital Industries
Meeting session 9
10:35 – 11:00
MORNING COFFEE AND NETWORKING
11:05 – 11:30
FUTURE-FACING DIGITAL KEYNOTE
AI Assisted Reality Capture for Unstructured Data
- Applying effective data fabrics will prepare you for any Black Swan event and audits.
- How are data quality issues undermining EPC, asset management, and maintenance workflows in upstream, midstream and downstream operations.
- Uncovering AI/ML-driven tools which resolve reliability data gaps, engineered for Oil & Gas, which improve margin gains
Tjidde Boers, Global Industry Principal, Assai
Meeting session 10
11:35 - 12:15
VALUE CHAIN PANEL DISCUSSION
Where We Are On The Transformation Journey: Data Management, Optimised Analytics and Digital Transformation in Oil & Gas
- Mitigating the risks of inconsistent data, incompatible systems, and manual processes that derail transformation in the oil and gas industry.
- The importance of data management in improving data integrity and compliance, and how it can streamline operations
- Avoiding journey stumbles caused by data fragmentation, preventable operational delays and asset shutdowns
- Using digital transformation to create agility across your operating architecture, incorporating a unified data hub and cloud operating model.
- Unlocking value from data management to increase improvements in predictive maintenance of your operating assets.
Jose Maria Gonzalez Munoz, Upstream GG Operations Manager, Repsol
Juan Varga, Head of IT, Cybersecurity & Digital Ops, E&P, Moeve
Dániel Szepesi, Intelligent Apps & AI Manager, MOL Group
Meeting session 11
12:15 - 12:20
CHAIR'S CLOSING REMARKS
Prashant Soni, CEO, Visco
12:20
FAREWELL LUNCH
Only representatives from Oil & Gas companies are permitted to attend as delegates.
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