AI and Business Analytics for Managers
Lead the future, today
in Open Executive Education in Belgium and #27 worldwide
The question is no longer if AI will transform your business—but how. And this means managers must be able to navigate this technology in the same ways they understand finance, operations, HR and marketing.
Why? Because if you don’t have a sound grounding in AI, you’re likely to miss opportunities – or fail to recognise risks and limitations. Without proper management of this innovative technology, even the smartest algorithms will fall short.
If you’re looking for a strategic view and a hands-on roadmap to leading and implementing AI and analytics initiatives, this programme is for you.
It’s not about coding. Instead, it’s about bridging the gap between tech experts and the C-suite, developing AI-ready culture, creating data and analytics strategy – and using this technology as a platform for long-term value generation. Dive in to learn from experts, interactive sessions and up-to-the-minute case studies.
Module 1: Data Analytics and AI Strategy
- Audit your organisation’s data maturity and AI readiness
- Craft an AI strategy that aligns with your organisation’s (digital) strategy
- Transform barriers to AI adoption into enablers that accelerate projects
- Design a data governance framework that balances data accessibility, security, and compliance
- Develop the analytical talent and organisational design you need to cultivate data-driven decision making and AI adoption
Module 2: Business Analytics
- Democratise insights-based decision making with cutting-edge business intelligence tools and governance
- Translate business opportunities into machine learning use cases
- Create business value with smart automation and optimisation
Module 3: Discriminative & Generative AI
- Recognise the opportunities, limitations and risks associated with discriminative and generative AI
- Identify pretrained, off-the-shelf (generative) AI algorithms that are relevant for your organisation
- Customise (generative) AI solutions according to the needs of your organisation
- Integrate agentic AI workflows into your organisation’s processes
- Communicate more effectively with data scientists and AI engineers
Module 4: Modern Data Platforms
- Operationalise your data governance, machine learning and AI models with best-practice architecture and technology stack
- Discover how to collect and integrate data sources within your existing infrastructure
- Communicate more effectively with data engineers
Module 5: Cultivating ethical, sustainable and trustworthy AI
- Identify risks and meet regulatory requirements
- Audit for bias in AI data training sets, model outputs, and review decision-making processes and ethical AI frameworks
- Navigate privacy, automation and energy consumption dilemmas to build stakeholder trust
Your personal project
Implement your learning immediately with a twomonth, data-driven project, idea, innovation or strategy for your company.
Comeback day (half day, on-campus)
To round up your programme, you’ll share your project challenges and successes with your fellow participants. It’s the perfect moment to share experiences, reflect on real-life implementation – and give each other valuable feedback.
- Discover how to identify AI and analytics-related business opportunities
- Develop an AI and analytics strategy for your organisation
- Demystify AI: Understand the principles of AI and generative AI – and recognise the pros and cons
- Gain tools to operationalise your AI and analytics strategy
- Learn to collaborate more effectively with technical colleagues, including data scientists and engineers
- Get the confidence to lead AI and business analytics projects
Your questions, answered!
Discover everything you need to know on big data and AI with leading Vlerick professor Philippe Baecke. He shares quick answers to the most searched questions on big data and AI
- Managers from all backgrounds – technical and non-technical
- Managers across all functions who want to explore AI and business analytics
- Professionals who want to understand how AI works, and stay up to date with latest technologies
- Project managers leading AI and big data projects
- Chief Information Officers, Chief Data Officers, Chief Technology Officers and Chief Digital Officers
- Innovation managers and tech entrepreneurs
- Business analysts, data scientists, data engineers and IT specialists who are moving to management roles
In previous editions, we had the pleasure of welcoming participants from companies like:
Success stories
Anissa Goffart
Supply Chain E2E Analytics Manager at J&J
I found the programme eye-opening, particularly in terms of machine learning vs a human. I believe the programme will contribute to my personal development and help identify potential digital transformation projects for Johnson & Johnson.
Sjouke Van Poucke
Founder of Synplus
This programme showed me that you need to think big – but you can certainly start up small as long as the target is well-defined. I also see that the current applications in my sector are only the beginning in terms of possibilities – to be future-proof, we’ll need to integrate these technologies in our daily work.
Nele Van Beveren
Management Consultant
Lifepowr
I joined the programme to broaden my knowledge on the use of data. The new knowledge and greater awareness of the skills I already have and can apply to this field have raised my confidence and made me eager to apply what I have learned. Moreover, I now have a stronger desire to grow my company’s data maturity. Read Nele's story here.
Iris Lopes
NIC Finance Projecten at Managing Director
Pitching practical cases, followed by sounding-board sessions, resulted in useful feedback from both the professors and the fellow participants and made the programme an inspiring experience.
Philippe Baecke
Professor of Business Analytics and Artificial Intelligence
Philippe Baecke is harnessing the power of big data and analytics in all areas of marketing.
Martin Butler
Professor of Management Practice
Martin Butler lectures in digital transformation, digital resilience and technology futures.
Kris Peeters
Guest speaker
Kris Peeters, Founder and CEO at Data Minded helps organisations process their data to get meaningful insights and make more impactful business decisions.
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