Ellen Keane
Content Producer, Dublin Tech Summit
Intro DTS 2026 will tackle AI adoption, cybersecurity and practical solutions for organisations to succeed in 2026.
As the digital landscape evolves, organisations are facing growing pressure to adopt AI responsibly and at scale.
Thriving with AI safely
Dublin Tech Summit spotlights practical artificial intelligence applications and the growing challenges of cybersecurity, guiding businesses through rapid change. The real measure of success is moving beyond pilots to systems that deliver measurable returns, using smart technologies to support human work, not replace it.
AI’s impact: practical solutions for 2026
AI is reshaping business operations and decision-making, while also enriching customer experiences and streamlining processes. Leaders now focus on integrating AI into daily workflows, continually evaluating impact and adapting strategy. This journey depends on upskilling staff, making innovation a partnership between humans and AI tools.
Critical challenges for enterprises
Companies heading into 2026 face dual challenges: scaling AI adoption and maintaining cybersecurity. Transitioning from experiments to organisation-wide AI triggers complex questions about governance, ROI and new compliance rules like the EU AI Act and DORA. Advanced threats require AI-powered monitoring and layered cyber defences, making robust security and regulatory foresight essential for safeguarding data and trust.
The real measure of success is moving beyond pilots to systems that deliver measurable returns, using smart technologies to support human work, not replace it.
Practical, human-centred insights
DTS 2026 is shaped by attendee feedback that demands practical, step-by-step learning and real-world case studies. Human-centred workshops are designed to build confidence and reduce friction, supporting teams as they adapt to smarter systems. Investment in culture and skills, alongside transparent communication, remains central to any successful transformation.
Ten learning outcomes for responsible AI
Building on previous summits, ten foundational outcomes continue to guide progress: AI must be secure, collaborative across teams, quick to deliver tangible value and scalable globally through investment in people and communication. Human-centred design and multidisciplinary co-creation maximise impact, while unified data strategies and constant oversight drive ethical and effective enterprise-wide AI adoption.
What attendees really want
Attendees are calling for credible advice on affordable AI, new technologies like Web3 and quantum computing and resilient frameworks for long-term success. Networking and shared learning empower organisations to thrive, adapt and innovate as technology evolves.
