ETHSUN AI Application Programme, Digital Transformation & Information Systems
AIDTSai sprint

ETHSUN AI Application Programme, Digital Transformation & Information Systems

Designing AI-Driven Organisations

A 2-day AI Sprint designed for digital transformation leaders and IT executives seeking to harness the full potential of artificial intelligence to accelerate the modernisation of their organisations.

2 Days Intensive100% OnlineCDOs, CTOs & Digital Transformation Leaders
2 Days Intensive
Duration
100% Online
Format
CDOs, CTOs & Digital Transformation Leaders
Target Audience
€488
Programme Fee

Programme Overview

This 2-day AI Sprint is designed for digital transformation leaders and IT executives seeking to harness the full potential of artificial intelligence to accelerate the modernisation of their organisations. Participants will learn to develop an AI strategy, design a digital transformation roadmap, modernise information systems, strengthen data governance, automate business processes and integrate AI into technology architectures in a secure and responsible manner. Through hands-on demonstrations, international case studies and immediately applicable tools, this programme enables participants to identify the highest-priority AI use cases to accelerate their organisation's digital transformation.

Format & Cohorts

100% Online

Upcoming sessions

Septembre 2026
Sessions run every month
Novembre 2026
Sessions run every month

Open enrolment, register at any time

Apply, Digital Executive Track
Programme Deliverable

Each participant leaves with a concrete, organisation-specific Digital AI Transformation Roadmap, a practical AI action plan ready for immediate implementation.

Curriculum

01AI for Digital Transformation Strategy
  • Assessing digital maturity and AI readiness
  • Building an AI-driven digital transformation roadmap
  • Prioritising high-value AI use cases
  • Governance of digital transformation programmes
02AI for Information Systems & Enterprise Architecture
  • Modernising information systems through AI
  • Cloud architectures, APIs and intelligent platforms
  • MLOps fundamentals for decision-makers
  • Integrating AI into business applications
03AI for Data Governance
  • Data governance and data quality management
  • Master Data Management and data cataloguing
  • Data protection, cybersecurity and regulatory compliance
  • AI model governance frameworks
04AI for Process Automation & Innovation
  • Intelligent business process automation (RPA + AI)
  • Workflow orchestration and digital process management
  • Generative AI for operational transformation
  • AI governance and responsible digital innovation

Learning Outcomes

Digital transformation leadership
design and drive an AI-integrated digital transformation strategy across the organisation
Digital architecture
build modern, scalable information systems adapted to the new demands of AI integration
Data governance
establish robust foundations to exploit data securely, compliantly and in a value-creating manner
Intelligent automation
identify, prioritise and deploy high-impact automation solutions to improve organisational performance