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Key Takeaways: TechEx & AI & Big Data Expo

Two of Europe’s largest enterprise technology gatheringswrapped last week, bringing together 8,000+ technology leaders, 200+expert speakers, and 150+ tech exhibitors across eight co-locatedstreams focused on the future of AI, big data, cybersecurity, IoT, cloud,automation and digital transformation.

Mark Channen
Read time 3 min
9 February 2026

These events weren’t just busy, they showcased where organisations are investing, struggling, and accelerating in 2026. Here are our findings from London last week.

AI Is Boardroom Strategy

Both events re-affirmed that AI has transitioned:

    • From R&D to enterprise imperative: Leaders from Jaguar Land Rover, Mastercard, AXA and Vodafone shared actionable strategies, not just possibilities, for integrating AI into operations, products, and risk models
    • Generative AI continues to dominate budgets: Talks consistently focused on AI for process automation, customer experience, and predictive analytics, signalling prioritisation of ROI over experimentation

Organisations are now asking “How do we implement and scale AI safely?” more often than “Should we adopt AI in our business?”

Ethics, Trust & Responsible AI Is Paramount

A major theme in both keynote and panel content was not only what AI can do, but what it should do:

    • Ethical AI frameworks, bias mitigation, transparency and regulatory readiness were frequent discussion topics, especially in sessions on NLP, neural networks, and enterprise data governance
    • Practical sessions explored how to implement AI within compliance and risk management structures, with a real focus on IoT and Manufacturing

AI governance has emerged as a core area in the technology strategy stack, equal in attention to model performance.

Cyber Security Is Being Re-purposed Around AI

A dedicated Cyber Security & Cloud Expo stream saw intense conversation around:

    • Zero trust methodologies
    • AI-driven threat intelligence
    • Data protection in hybrid environments

CISOs from global brands, highlighted that automated detection and response are becoming baseline expectations in enterprise security operations, and traditional perimeter security is being replaced with adaptive, AI-fused security models.

Transformation Is Cross-Functional and Not Siloed

From digital transformation workshops to cloud and IoT discussions, there was one recurring insight: organisations that integrate tech domains (AI, cloud, data, security), outperform those that treat them in isolation. Workshops and panel debates pointed repeatedly to cross-functional adoption as a major enterprise differentiator. The C-suite is shifting from technology as a cost centre to technology as a competitive engine.

Networks Matters for Insights  (In Person Still Beats Virtual)

Commentary and informal feedback throughout both events underscored one thing: Face-to-face conversations drive insight faster than virtual formats. That’s consistent with broader industry feedback about returning to live events creating deeper dialogue, partnership momentum, and meaningful collaboration.

This means that organisations should factor in real-world engagement as part of their learning and innovation cycles, not just digital channels.

Practical Case Studies Outrank Theoretical Frameworks

Speakers repeatedly favoured live use cases and real deployment stories over abstract theory, a notable shift from past events of a similar theme:

    • AI in predictive maintenance in manufacturing
    • NLP and analytics reshaping customer insights
    • SecOps teams leveraging automation for threat hunting

Practical Next-Steps For Your Business

Here’s what the most forward-thinking teams are doing next:

    • Audit AI ethics and trust policies
      Create or update governance frameworks and bias mitigations
    • Link security and AI strategy
      Treat security teams as core partners in the digital transformation roadmap
    • Build cross-functional delivery teams
      Align engineering, data science, cybersecurity and business ownership
    • Document real ROI measurements
      Use key success metrics to validate and scale projects
    • Invest in real-world engagements
      Attend targeted sessions, workshops, and in-person meet-ups, they produce deeper insight than webinars.

Final Thoughts

What this year’s London events made clear, is that technology leadership in 2026 isn’t just about innovation, it’s about integration. AI, data, security and digital transformation are converging fast. The organisations that embed these into unified strategies, backed by governance, measurable outcomes, and cross-organisational collaboration, are the ones on track to lead the next decade.

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