AI and machine learning have shown immense promise in the oil and gas industry, from seismic interpretation to equipment failure prediction. Yet, many solutions remain stuck in proof-of-concept phases. This panel will explore the barriers to scaling AI across complex operations, including data quality, change management, integration with legacy systems, and talent gaps. Industry leaders and technology experts will share lessons learned, success stories, and the organisational strategies needed to move from isolated pilots to enterprise-wide adoption.

The oil and gas industry is undergoing a major digital transformation, driven by AI, automation, and big data. As companies adopt smart fields and advanced analytics, the workforce must evolve, not only by gaining technical skills but by developing the adaptability required to navigate the shift toward an increasingly digital environment. This session explores how digital tools are reshaping roles, what companies expect from both new hires and experienced professionals, and how the human ability to learn, adapt, and collaborate is central to successful transformation. Through industry examples, we'll discuss how digitalisation can enhance human potential rather than replace it and what it takes to build a workforce ready to lead in the digital energy future.

In today's rapidly evolving digital landscape, the intersection of technology, infrastructure, and cybersecurity is more critical than ever for the energy Industry. This session explores the foundational elements of creating a resilient digital infrastructure that not only supports operational efficiency but also defends against cyber threats. Join leading industry experts as they share actionable insights and proven strategies for integrating digital infrastructure with robust cybersecurity protocols. Key Topics: ' Digital infrastructure ' Cybersecurity threats ' Best practices for digital integration ' Case studies: Real-world implementations. ' Future trends in digital infrastructure and cybersecurity. Whether an IT professional, a business leader, or a cybersecurity expert, this session will provide valuable knowledge to help you navigate the complexities of digital transformation while maintaining a secure environment.

This session is dedicated to exploring the newest developments in predictive maintenance and reliability strategies applicable to the oil and gas industry. With an emphasis on utilising data analytics, machine learning, and IoT, the session will showcase innovative approaches to improving equipment uptime, optimising operational efficiency, and minimising costly downtime. Experts will present real-world case studies to illustrate how predictive models and condition-based monitoring can improve asset reliability and safety. Topics covered include sensor integration, failure prediction algorithms, and maintenance optimisation techniques tailored to the specific challenges of the oil and gas industry, facilitating sustainable operations and cost-effective processes.