Conference Description
Key Takeaways
- Enterprise-focused conference addressing the transition of AI initiatives from pilot programmes to production-scale deployment
- Coverage spans generative AI, autonomous systems, AI governance, data analytics, and physical AI applications
- Designed for C-level executives, data officers, AI developers, and decision-makers across finance, healthcare, manufacturing, and technology sectors
- Programme includes keynotes, panel discussions, workshops, live demonstrations, and product launches
- Part of the TechEx series, held at Olympia London
Introduction
AI & Big Data Expo Global returns to Olympia London as one of the United Kingdom’s principal gatherings for enterprise artificial intelligence and data-driven innovation. The two-day conference brings together technology leaders, AI practitioners, and business executives to examine how organisations are moving beyond experimental AI projects toward operational implementations that deliver measurable business value. With enterprises across sectors facing mounting pressure to demonstrate returns on AI investments while navigating evolving governance requirements, the event addresses questions that have become central to digital transformation strategies.
About This Event
The conference forms part of the broader TechEx series, which positions enterprise technology innovation at its core. Attendees gain access to presentations from over 200 speakers alongside an exhibition floor featuring more than 150 exhibitors. The programme combines keynote addresses with panel discussions, hands-on workshops, and live product demonstrations. Dedicated networking sessions provide structured opportunities for attendees to connect with potential partners, technology vendors, and peers facing similar implementation challenges.
A dedicated start-up area creates pathways between emerging AI companies and investors, reflecting the continued flow of capital into artificial intelligence ventures despite broader market corrections in the technology sector.
From Generative AI to Physical Systems
The technical programme spans multiple dimensions of enterprise AI adoption. Generative AI remains a dominant theme, though discussions have matured beyond initial excitement toward practical considerations around deployment, cost management, and integration with existing workflows. Sessions examine how large language models and generative systems are being embedded into enterprise applications, from customer service automation to content generation and code development assistance.
Physical AI represents an emerging focus area, exploring how artificial intelligence extends beyond software into robotics, autonomous systems, and industrial automation. This convergence of AI with operational technology carries particular relevance for manufacturing, logistics, and infrastructure sectors where intelligent systems must interact with physical environments in real time.
The programme also addresses the foundational infrastructure required to support AI at scale, including edge computing architectures, data centre considerations, and the integration challenges that arise when AI systems must operate alongside legacy enterprise platforms.
Governance and the Path to Production
AI governance has evolved from a compliance consideration to a strategic imperative as regulatory frameworks take shape across jurisdictions. The conference dedicates significant attention to how organisations are establishing governance structures that enable innovation while managing risks related to bias, transparency, and accountability. For enterprises operating across borders, understanding divergent regulatory approaches has become essential to deployment planning.
A persistent challenge for many organisations remains the gap between successful AI pilots and production-ready systems. Sessions address the technical, organisational, and cultural factors that determine whether AI initiatives scale effectively or stall after initial demonstrations. This includes examination of MLOps practices, model monitoring, and the operational disciplines required to maintain AI systems reliably over time.
Who Should Attend
The event targets senior technology and business leaders responsible for AI strategy and implementation. Chief Data Officers, Chief AI Officers, and Chief Analytics Officers will find content aligned with their strategic planning responsibilities. IT directors and innovation managers can evaluate emerging solutions and benchmark their organisations’ progress against industry peers. Data scientists and AI developers benefit from technical sessions examining development practices and tooling.
Sector representation spans financial services, insurance, healthcare, manufacturing, retail, and technology. Both established enterprises and government bodies participate, alongside start-ups seeking to demonstrate their solutions to potential customers and investors.
Exhibition and Technology Partners
The exhibition floor features technology providers across the AI and data ecosystem. Confirmed participants include Salesforce, SAP, Experian, DeepL, ThoughtSpot, Boomi, OpenText, and Bosch Rexroth, among others. Government participation from the Department for Business and Trade and the Department for Science, Innovation and Technology reflects ongoing public sector interest in AI adoption and industrial strategy. The diversity of exhibitors—spanning AI platforms, analytics tools, cloud infrastructure, and automation solutions—illustrates the breadth of the enterprise AI technology landscape.