Explore the conference themes
ECEAIDT 2027 welcomes research, case studies, implementation experiences and industry perspectives addressing the technologies, governance models and organisational changes shaping enterprise AI and digital transformation.
Core topic tracks
The programme is intentionally broad enough to support technical, managerial, policy, research and applied industry contributions. Related topics that fit the overall scope are also welcome.
Enterprise AI Strategy & Adoption
Enterprise AI roadmaps, business value, implementation priorities, organisational readiness, responsible deployment and measurable transformation outcomes.
Generative AI & Agentic Systems
Generative AI, enterprise copilots, AI agents, orchestration, human-in-the-loop systems, workflow redesign and production deployment.
AI Governance, Risk & Responsible AI
Governance frameworks, policy, transparency, accountability, model risk, compliance, responsible AI and trustworthy deployment.
Data Platforms, Analytics & AI Infrastructure
Data engineering, cloud platforms, data governance, model operations, enterprise integration, analytics and scalable AI infrastructure.
Automation & Intelligent Workflows
Business-process automation, intelligent operations, decision intelligence, service redesign, robotic automation and AI-enabled productivity.
Cybersecurity & Digital Resilience
AI-enabled security, threat detection, identity, cyber risk, privacy, secure architecture, operational resilience and business continuity.
Digital Transformation & Operating Models
Transformation strategy, enterprise architecture, digital operating models, capability building, change management and organisational redesign.
AI for Customer & Employee Experience
Personalisation, customer service, contact-centre AI, employee productivity, workplace copilots and human-centred digital transformation.
Industry 4.0 / 5.0 & Smart Enterprise
Industrial AI, digital twins, connected systems, smart operations, predictive maintenance, intelligent manufacturing and adaptive enterprises.
AI in Finance, Healthcare & Public Services
Applied AI and digital transformation across regulated sectors, financial services, health systems, public services and enterprise operations.
Future of Work, Skills & Leadership
AI literacy, workforce transition, leadership capability, reskilling, organisational culture, job redesign and responsible adoption.
Innovation, Startups & Enterprise Collaboration
Technology commercialisation, startup–enterprise collaboration, venture innovation, new business models, platforms and cross-sector partnerships.
Academic, industry and practitioner perspectives
Submissions may present original research, applied frameworks, implementation lessons, enterprise case studies, reviews, policy perspectives, emerging technologies or practical transformation experiences. The programme is designed to encourage exchange between researchers and people implementing these technologies in real organisations.
- • Oral presentation
- • Keynote / invited presentation
- • Poster presentation
- • Industry case study
- • Panel or focused discussion
- • Young researcher contribution