As artificial intelligence and data-driven decision-making move from experimentation to operational necessity, AI & Big Data Expo Global 2026 is set to become a focal point for organisations navigating the next phase of digital transformation.
Taking place on 4–5 February 2026 at Olympia, London, the event will bring together global enterprises, technology leaders, policymakers, and practitioners to explore how AI and big data are reshaping business models, workforce dynamics, and competitive strategy across industries.
With adoption accelerating and regulation tightening, the expo arrives at a defining moment for enterprise AI.
A Global Forum for AI and Data Leadership
AI & Big Data Expo Global 2026 is positioned as a flagship international gathering for professionals responsible for deploying, governing, and scaling AI and data initiatives. The two-day conference and exhibition will focus on practical, production-ready use cases rather than theoretical innovation.
Attendees will gain insights into how leading organisations are:
- Embedding AI into core business processes
- Managing data quality, governance, and trust
- Scaling AI responsibly across global operations
- Protecting systems against emerging cyber threats
- Using data as a monetisable strategic asset
With representation from industries including finance, manufacturing, healthcare, retail, hospitality, and telecommunications, the event reflects the cross-sector impact of AI and big data.
Why AI and Big Data Are at a Turning Point
Over the past decade, enterprises have invested heavily in analytics platforms, cloud infrastructure, and machine learning experimentation. However, many organisations have struggled to convert early pilots into sustainable, enterprise-wide impact.
In 2026, that narrative is changing.
Generative AI, real-time data platforms, and automation technologies are enabling businesses to move beyond isolated use cases toward integrated, intelligent systems. At the same time, concerns around ethics, explainability, bias, and security are shaping how AI is governed and deployed.
AI & Big Data Expo Global 2026 will explore this tension—between innovation and responsibility—and how organisations can strike the right balance.
Key Themes Shaping the 2026 Agenda
The conference agenda is structured around the most pressing strategic and technical challenges facing enterprises today. Sessions are designed to deliver actionable insights supported by real-world case studies.
Responsible and Ethical AI
As AI systems increasingly influence decisions that affect customers, employees, and society, responsible deployment has become a business imperative.
Topics include:
- Building ethical AI frameworks at scale
- Managing bias and fairness in machine learning models
- Aligning AI development with regulatory requirements
- Embedding accountability and transparency into AI systems
Speakers will discuss how organisations can innovate confidently while maintaining public trust.
AI Security and Defence Against Cyber Threats
With AI systems becoming integral to operations, they are also emerging as new attack surfaces. The agenda addresses how AI can both defend against and be exploited by cyber threats.
Sessions will explore:
- Using AI to detect and respond to cyberattacks
- Protecting models and data from adversarial threats
- Securing AI pipelines across cloud and edge environments
- Managing risk in autonomous and agentic systems
As attackers adopt AI themselves, defensive strategies must evolve just as quickly.
AI-Led Personalisation and Customer Experience
AI-driven personalisation is redefining how brands interact with customers across digital and physical channels.
Topics include:
- Real-time personalisation at scale
- Balancing customer insight with data privacy
- AI-driven recommendations and engagement strategies
- Measuring ROI from AI-powered customer experiences
From retail to hospitality and financial services, speakers will share how data and AI are driving deeper, more relevant interactions.
Data Monetisation and Value Creation
Data is no longer just a byproduct of operations—it is a strategic asset. Organisations are increasingly exploring how to monetise data responsibly and sustainably.
Sessions will examine:
- Turning data into revenue-generating products
- Managing data ownership and consent
- Building data marketplaces and partnerships
- Aligning data strategy with business outcomes
This theme addresses how enterprises can unlock value without compromising trust.
Data Quality, Governance, and Management
High-quality data remains the foundation of effective AI. Without it, even the most advanced models fail to deliver value.
Key discussion points include:
- Ensuring data accuracy and consistency
- Managing data across hybrid and multi-cloud environments
- Implementing scalable governance frameworks
- Preparing data for real-time and AI-driven use cases
As AI adoption grows, robust data management becomes a competitive differentiator.
Enterprise AI Adoption and the Augmented Workforce
AI is reshaping how work gets done—not by replacing humans, but by augmenting their capabilities.
Sessions will focus on:
- Scaling AI across large organisations
- Redefining roles and workflows with AI support
- Upskilling employees for AI-enabled work
- Measuring productivity gains from AI augmentation
The concept of the “augmented workforce” highlights how AI can enhance human decision-making rather than automate it away.
The Rise of AIOps and Intelligent Automation
Operational complexity is increasing as IT environments become more distributed. AIOps is emerging as a critical tool for managing this complexity.
Topics include:
- AI-driven monitoring and incident response
- Automating IT operations and service management
- Reducing downtime through predictive analytics
- Integrating AIOps with existing IT frameworks
These capabilities are becoming essential as enterprises scale digital infrastructure.
Driving Digital Transformation with AI
Beyond individual use cases, AI is becoming central to enterprise-wide digital transformation strategies.
Sessions will explore:
- Aligning AI initiatives with business strategy
- Overcoming organisational and cultural barriers
- Measuring transformation success
- Building long-term AI roadmaps
This theme connects technology investment to measurable business impact.
Building Trust Through Explainable AI
As AI systems grow more complex, explainability is critical for adoption, regulation, and accountability.
Discussion topics include:
- Making AI decisions transparent and interpretable
- Explainability in regulated industries
- Balancing model performance with transparency
- Communicating AI decisions to non-technical stakeholders
Trust is increasingly seen as a prerequisite for AI at scale.
A Speaker Line-Up Representing Global Enterprise Leadership
AI & Big Data Expo Global 2026 features senior leaders responsible for shaping AI and data strategy within some of the world’s most recognisable organisations.
Confirmed speakers include executives and experts from:
- Philip Morris International
- Jaguar Land Rover
- IHG Hotels & Resorts
- Deutsche Telekom
- Vodafone
- ING
- Mastercard
- UKAI
Additional speakers represent global brands such as McDonald’s, GSK, Citi, Rolls-Royce, Mercedes-Benz, Headspace, and McKinsey & Company.
These perspectives provide attendees with insights grounded in real operational experience.
Access to a Broader Technology Ecosystem
One of the defining features of AI & Big Data Expo Global 2026 is its co-location with several other major technology events. Attendees gain access to conferences covering:
- Internet of Things (IoT) technologies
- Unified communications
- Intelligent automation
- Cyber security
- Cloud and digital transformation
This integrated approach reflects the reality that AI and data do not exist in isolation but intersect with every layer of the modern technology stack.
Olympia London: A Strategic Global Venue
Hosting the event at Olympia, London, places the expo at the centre of one of Europe’s most influential technology and business hubs. London’s role as a global financial, digital, and innovation centre makes it an ideal setting for discussions about the future of AI and data.
The venue offers:
- International accessibility
- Facilities designed for large-scale technology events
- Proximity to global enterprises and startups
Its location reinforces the event’s global relevance.
Who Should Attend AI & Big Data Expo Global 2026
The event is designed for professionals across the AI and data ecosystem, including:
- CIOs, CTOs, and CDOs
- AI and data science leaders
- IT and digital transformation managers
- Security and risk professionals
- Product and innovation leaders
- Consultants and technology providers
Whether organisations are early in their AI journey or scaling mature deployments, the agenda offers relevant insights.
Preparing for the Next Phase of AI Adoption
As AI becomes embedded in enterprise operations, success increasingly depends on execution rather than experimentation. AI & Big Data Expo Global 2026 positions itself as a forum where leaders can learn how to operationalise AI responsibly, securely, and at scale.
For organisations navigating regulation, talent shortages, and rising expectations, the event offers clarity on where AI and data strategies are heading next.
Event Details at a Glance
Event: AI & Big Data Expo Global 2026
Dates: 4–5 February 2026
Time: 9:00 am – 4:00 pm
Venue: Olympia, London
Location: London
Venue Website: Visit Site