2022 Agenda

08.50

• Managing the Digital Culture Transition – Applying a systemised and Democratised way of working
• Democratise your Data – Integrating an effective governance policy and Sustaining Data integrity
• Breaking down the Siloes Figuratively and Metaphorically – How a Cross collaborative Environment is the key to success
• People, Process and Technology implementing Employee Recognition – Reskilling and Reshaping the Current workforce
• How to Develop a Digital Transformation Charter – Why People Matter?
• How Digital Transformation improves Productivity and Safety – Establishing Data Driven Foundations and Measuring Value

• Assessing the Sustainable future for Upstream Oil and Gas – How to plan for Environmental Sustainability
• Formulating a Low Carbon Business Model – How can we integrate Solar, Hydrogen, CCUS, Electrification in the short and long term
• How does Digitalisation resonate with Decarbonisation – Pairing Innovation with Climate Change
• Aligning Sustainability with Corporate Strategies – The Significance of Responsible Leadership under increased ESG Compliance
• Embracing New Energy Models – What are the key challenges that lie ahead?
• Regulatory Pressure and Conformance – Adhering to Emission Policies whilst remaining profitable

• Moving with digitalisation – How does a Digital Twin affect the Culture of a company
• Decreasing the vulnerability of a company’s operational and technology department - How can a Digital twin protect legacy assets?
• Managing Expectations - What are the Addressable Challenges a Digital Twin can help to Rectify
• Offsetting Carbon Emissions – How Modelling real time data from Physical Assets improve your Carbon footprint
• Enabling Sustainable Growth and Optimising Production – The Process of Developing a Dynamic Twin
• The Ownership of Data – How the roles should be governed between technology vendor and Operator

• Predictive Maintenance and Monitoring – An insight into Edge Machine Learning
• The Challenges of Edge Computing – A focus on Accessibility, Cost and Scalabilit
• The Significance of Machine Learning, IoT and Advanced Analytics – Contextualising Data, Clarifying Data Ownership and Effectively Managing Data Volume
• Latency and the Edge – what are the Challenges and Opportunities in a Remote World?
• Creating a Digital Ready from the core to the edge – Overcoming Change Management challenges
• Creating a Cyber Resilient Framework – Developing a vulnerability management plan whilst integrating hybrid networks
• Edge and the Cloud – How to selectively utilise both

• Enabling Data aggregation and classification – An insight into operational models to improve Business efficiency using data management and integration
• Supply Chain Management – How Blockchain and IoT can modernise the current business model
• How Blockchain Interacts with ESG – Accelerating Energy Transition
• Convergence, Blockchain and Oil and Gas Implementation – How to successfully integrate with legacy systems
• The Challenges with Data – Measuring the reliability of the Cloud and the integration of IoT
• Automation and Transparency – How Blockchain at scale facilitates the Oil and Gas supply chain

• How Machine Learning encourages organisational scalability – A focus on Supervised, Unsupervised and Reinforcement Learning
• How Machine Learning Facilitates Automation – How can data quality be fully guaranteed?
• Predictive and Prescriptive Maintenance – Improving Machine Connectivity through AI
• Real Time Data – Establishing an effective Event Driven Architecture
• AI Integration with Machine Learning – Safeguarding industry knowledge and how to effectively standardise data management
• The Challenges of Technology Deployment - The growing importance of clean and trusted data