AI and Big Data for business
Using artificial intelligence and big data to support decision-making
in Open Executive Education in Belgium and #27 worldwide
(Gen) AI, Machine learning, natural language processing, robotics and modern data platforms… They all have immense potential for your organisation. But how do you start and make them work for you?
Over this six day programme, you’ll live and learn AI and big data. You’ll gain an overview of these technologies and you’ll develop a long-term data and analytics strategy that you can put into action straight away. You’ll have the confidence to leap into your organisation with a clear vision of how to create value with (Gen) AI & Big data.
This programme blends essential business, analytics and technology knowledge to empower you to take the lead on AI and big data.
Over six thought-provoking days, you’ll learn approaches that you can implement immediately to create real impact in your organisation. With a combination of on-campus and online learning, you’ll discover how to enhance your company’s decision making – and develop a strategy that you can implement immediately.
This programme is offered in a blended format, covering both on-campus and online sessions.
Module 1: Data and Analytics Strategy
- Develop a data and analytics strategy that supports your organisation’s digital transformation
- Get inspired by state-of-the-art AI and big data applications that create value in multiple industries
- Identify data-driven innovations for your organisation
- Manage analytical teams and projects
Module 2: Artificial Intelligence and Big Data Analytics
- Discover machine learning
- Explore decision automation
- Understand network analysis
- Learn about natural Language Processing
- Dive into deep (reinforcement) learning
Module 3: Operationalising AI and Big Data
- Discover how to collect and integrate multiple data sources
- Learn to integrate big data technology with existing data infrastructure
- Understand how to leverage high-velocity data
- Demonstrate the value of data governance
Module 4: Cultivating Artificial Intelligence and Big Data
- Discover how to win customer buy-in by dealing with ethics and privacy in a big data world
- Learn to facilitate collaboration around AI and big data projects with internal stakeholders
- Explore how to promote data savviness within your organisation
Your personal data-driven project
Across a period of two months you’ll work on a personal data-driven idea, innovation, project or strategy. You’ll receive valuable feedback from your peers on your project – and you’ll get support from expert Vlerick faculty.
On-campus day
This day will give you an opportunity to share the challenges and successes of your project with your fellow participants – and get their feedback and support.
- Identify new business opportunities associated with advanced data and analytics technologies
- Develop a data and analytics strategy for your organisation
- Understand the principles of artificial intelligence techniques and recognise the business advantages and limitations of AI
- Discover tools to operationalise your data and analytics strategy
- Communicate and collaborate better with technical colleagues including data scientists and engineers
- Champion AI and big data 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
- Chief Information Officers, Chief Data Officers and Chief Digital Officers
- Managers across all functions who want to leverage AI and big data
- IT managers who have to adapt their infrastructure to new technologies
- Project managers leading AI and big data projects
- Innovation managers, tech entrepreneurs, data stewards and analytical translators
- Business analysts, data scientists, data engineers and IT specialists who are moving into a managerial role or want to expand their business knowledge
- Consultants who want to stay up-to-date with the latest data and analytics technologies
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, project management and innovation management.
Mieke Geertrui De Ketelaere
Adjunct Professor of Artificial Intelligence
An AI ethical evangelist, Mieke De Ketelaere believes AI can be powerful when it’s used in a sustainable and trustworthy way.
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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