Course overview
Strategy built on last year's assumptions about AI ages quickly. This course steps back from day-to-day tools to look at where AI and data are heading and what that means for the choices leaders make now.
Sessions survey generative AI and adjacent technologies, the direction of analytics, and the regulation likely to shape adoption. The aim is preparedness, not prediction for its own sake.
Planning for a moving target
The pace of change makes it tempting to either chase every trend or ignore them all, and both are costly. Learning to read signals, separate durable shifts from hype, and keep a strategy adaptable is more useful than any single forecast. This course pairs well with Digital Transformation Strategies for Executives.
What participants will take away
- A structured view of the AI and data trends worth watching.
- An informed take on generative AI and its business uses.
- Awareness of how regulation may shape future adoption.
- Approaches to keep strategy adaptable as tools change.
Course outline
Unit 1: How AI is evolving
- Recent breakthroughs in AI capability
- Industry shifts driven by data and analytics
- Opportunities and risks of next-generation AI
- AI-driven transformation case examples
Unit 2: Generative AI and emerging technologies
- Generative AI and large language models
- Advances in automation and robotics
- AI with the internet of things and edge computing
- Potential disruptions across industries
Unit 3: The future of data-driven strategy
- Next-generation analytics platforms
- Predictive and prescriptive intelligence
- Data ecosystems and open innovation
- Adaptive, data-first strategy design
Unit 4: Ethics, governance, and regulation of future AI
- Anticipating the EU AI Act and frameworks
- Ethical questions from more capable AI
- Global perspectives on responsible adoption
- Building governance into strategy
Unit 5: Building future-ready organizations
- Scenario planning for AI disruption
- Investing in skills and data foundations
- Structuring teams to adapt quickly
- Continuous reassessment as a habit
How the course is delivered
The course runs as facilitated discussion around documented case studies and forward-looking scenarios examined together. Participants debate implications for their own organizations, without operating AI tools or writing code. The emphasis is strategic judgment under uncertainty.
Who should attend
- Executives and strategists shaping long-term direction.
- Digital and data leaders planning technology roadmaps.
- Innovation and transformation professionals.
- Senior managers preparing their functions for change.
About EuroQuest International Training
EuroQuest International Training has provided professional courses since 2015, with over 1,000 titles delivered to more than 15,000 participants at venues in Dubai, London, Barcelona, Istanbul, Vienna, Paris, and Geneva. Its content is kept aligned with current professional practice.
Frequently asked questions
Will the course give definite predictions about AI?
No. It maps trends and their implications so you can plan under uncertainty. The value is in reading signals and staying adaptable, not in a single forecast.
Is a technical background needed to attend?
No. Sessions are strategic and discussion-based, suited to leaders and managers without a technical background.
Does the course include a certification?
The course is educational and does not provide certification or a formal qualification. Participants receive strategic frameworks and a record of attendance from EuroQuest International Training.
Related courses
- AI and Big Data for Strategic Leaders
- Machine Learning for Business Intelligence
- The Future of Work, Innovation and Digital Transformation
- Ethical AI and Responsible Digital Governance
Register for this course
To confirm dates, locations, and registration details, contact EuroQuest International Training or visit the course page on our website.
All Course Dates & Locations
25 dates · 14 cities · Oct 2026 – Jun 2027