Ramon Vullings
Leading expert on cross-industry innovation, creative leadership and culture transformation. His previous book ’Not Invented Here’ has sold over 52.000 copies! His latest book ‘Great Leaders Mix And Match’ is out just now!
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Ramon Vullings's 2025 biography
Meet Ramon Vullings
Ramon Vullings is an engaging keynote speaker, author, cross-industry expert & ideaDJ
Ramon speaks about bringing the outside world in and why remixing of ideas cross-sector is a clever strategy in this digital era. Ramon helps businesses with strategies, tools & skills to look beyond the borders of their domain to transform their business in a smarter way.
Ramon speaks about creativity & innovation in the digital age for organisations such as NASA, Rabobank, Nike, Unilever, Volkswagen, TEDx, Siemens, PwC, FloraHolland & Audi. His speeches are always adapted to the specific needs of your event and target group.
Ramon’s speaking style is charismatic, passionate and interactive. As one of the most engaging speakers in the world, Ramon grabs any audience with a combination of research, visuals, humor, stories and practical business tools.
With his background as engineer and having worked as process consultant in the ERP and CRM space, Ramon is able to relate to the ongoing challenges for the M3 ecosystem.
Described by clients as ‘energetic and passionate speaker’.
30 Cross-Industry Real-life AI use cases
1. Healthcare: Enhancing Patient Diagnostics with Machine Learning
- AI Use: Utilizes machine learning algorithms to analyze medical imaging for early disease detection.
- Technology: Convolutional Neural Networks (CNNs).
- Impact: Accelerates diagnostics; enables personalized medicine.
2. Finance: AI-Powered Fraud Detection
- AI Use: Monitors transactions in real-time to spot fraudulent activities.
- Technology: Anomaly detection algorithms, deep learning.
- Impact: Reduces financial losses; increases customer security.
3. Retail: Personalization Engines for Shopping
- AI Use: Analyzes customer behavior to recommend personalized products.
- Technology: Collaborative filtering, neural networks.
- Impact: Boosts sales; enhances customer loyalty.
4. Manufacturing: AI in Predictive Maintenance
- AI Use: Predicts equipment failures before they happen.
- Technology: Predictive analytics, time series analysis.
- Impact: Minimizes downtime; lowers maintenance costs.
5. Transportation: Self-Driving Vehicle Technology
- AI Use: Employs AI for real-time navigation and driving decisions.
- Technology: Computer vision, sensor fusion.
- Impact: Improves safety; could reduce costs.
6. Education: Adaptive Learning Platforms
- AI Use: Tailors learning content to individual student needs.
- Technology: NLP, adaptive learning algorithms.
- Impact: Enhances learning outcomes; personalizes education.
7. Energy: Optimizing Renewable Energy Production
- AI Use: Forecasts renewable energy output from wind and solar.
- Technology: Forecasting models using historical data.
- Impact: Enhances energy grid management; boosts renewable efficiency.
8. Agriculture: Precision Agriculture Techniques
- AI Use: Monitors crops and optimizes farming practices using AI.
- Technology: Machine learning models, remote sensing.
- Impact: Increases yields; conserves resources.
9. Entertainment: Dynamic Content Recommendation Systems
- AI Use: Suggests content based on user preferences.
- Technology: Deep learning for user behavior pattern recognition.
- Impact: Increases engagement; personalizes user experience.
10. Cybersecurity: Real-Time Threat Detection
- AI Use: Scans for cyber threats to mitigate them instantly.
- Technology: Anomaly detection, cybersecurity AI frameworks.
- Impact: Protects against cyberattacks; lowers data breach risk.
11. Human Resources: Automated Candidate Screening
- AI Use: Streamlines recruitment by parsing resumes efficiently.
- Technology: NLP, machine learning for resume analysis.
- Impact: Speeds up hiring; reduces manual effort and bias.
12. Real Estate: AI-Driven Market Analysis
- AI Use: Analyzes market trends for informed real estate investments.
- Technology: Predictive analytics, regression models.
- Impact: Enhances decision-making; optimizes investment strategies.
13. Marketing: Sentiment Analysis for Brand Perception
- AI Use: Assesses brand sentiment through customer feedback analysis.
- Technology: Sentiment analysis using NLP.
- Impact: Refines marketing strategies; improves brand understanding.
14. Supply Chain: Intelligent Inventory Management
- AI Use: Optimizes inventory based on predictive stock level analysis.
- Technology: Predictive analytics, demand forecasting.
- Impact: Reduces stockouts; improves efficiency.
15. Telecommunications: Network Performance Optimization
- AI Use: Enhances network traffic and capacity planning.
- Technology: Traffic analysis and prediction models.
- Impact: Boosts network reliability; improves customer experience.
16. Legal: Automated Contract Analysis
- AI Use: Analyzes legal documents to identify key terms and obligations quickly.
- Technology: Natural Language Processing (NLP).
- Impact: Speeds up legal review processes; reduces human error.
17. Healthcare: AI-Driven Drug Discovery
- AI Use: Accelerates the identification of potential drug candidates using vast datasets.
- Technology: Machine learning models, bioinformatics.
- Impact: Shortens drug development cycles; lowers research costs.
18. Finance: Robo-Advisors for Personal Investing
- AI Use: Provides personalized investment advice based on individual financial goals and risk tolerance.
- Technology: Algorithms based on historical data analysis.
- Impact: Democratizes investing; tailors financial planning.
19. Retail: Inventory Forecasting
- AI Use: Predicts future inventory requirements based on sales trends and seasonal demands.
- Technology: Predictive analytics, machine learning.
- Impact: Optimizes stock levels; reduces inventory costs.
20. Manufacturing: Production Line Optimization
- AI Use: Optimizes manufacturing processes for efficiency and reduced waste.
- Technology: Data analytics, AI-driven simulation models.
- Impact: Increases production efficiency; minimizes waste.
21. Transportation: Traffic Flow Optimization
- AI Use: Analyzes traffic data to improve city traffic management and reduce congestion.
- Technology: Machine learning, geospatial analysis.
- Impact: Reduces traffic congestion; improves urban mobility.
22. Education: AI Tutoring Systems
- AI Use: Provides personalized tutoring to students in math and science.
- Technology: Adaptive learning algorithms, NLP for understanding student queries.
- Impact: Offers personalized learning support; enhances academic performance.
23. Energy: Demand Response Optimization
- AI Use: Balances energy supply and demand in real time to improve grid reliability.
- Technology: Predictive analytics, optimization algorithms.
- Impact: Stabilizes energy grids; enhances efficiency.
24. Agriculture: Crop Disease Detection
- AI Use: Identify crop diseases early through image analysis, preventing widespread outbreaks.
- Technology: Image recognition algorithms, CNNs.
- Impact: Reduces crop losses; improves food security.
25. Entertainment: AI in Video Game Development
- AI Use: Creates more immersive and challenging gaming experiences by generating dynamic content.
- Technology: Machine learning, procedural content generation.
- Impact: Enhances player engagement; drives game innovation.
26. Cybersecurity: AI-Enhanced Encryption
- AI Use: Strengthens data encryption methods to protect against evolving cyber threats.
- Technology: Quantum computing, AI algorithms for encryption.
- Impact: Enhances data security; future-proofs against quantum decryption.
27. Human Resources: Workforce Analytics
- AI Use: Analyzes employee data to optimize workforce planning and improve productivity.
- Technology: Predictive analytics, machine learning.
- Impact: Improves workforce efficiency; aids strategic HR planning.
28. Real Estate: Dynamic Pricing Models
- AI Use: Adjusts property prices in real-time based on market data and trends.
- Technology: Machine learning models for price optimization.
- Impact: Maximizes revenue; attracts optimal buyers/renters.
29. Marketing: Predictive Customer Behavior Modeling
- AI Use: Predicts future customer behaviors to inform targeted marketing strategies.
- Technology: Data mining, predictive modeling.
- Impact: Improves marketing ROI; enhances customer targeting.
30. Supply Chain: Autonomous Warehousing Operations
- AI Use: Automates warehousing operations, including inventory stocking and order fulfillment.
- Technology: Robotics, AI for logistics optimization.
- Impact: Streamlines warehousing operations; reduces operational costs.
Articles and podcasts
Ramon Vullings's 2025 talks & topics
Going from best to next practices
Going from best to next practices… this is one of the concepts that Ramon Vullings explains in his keynotes.
Many sectors are ‘best practice’ optimised, which is good, yet also limits further improvements and at a certain moment… silo thinking sets in. So as fellow author Jim Collins already stated: it’s time to go from ‘Good to Great’!
Using approaches from other sectors / industries, can help you and your organisation to jump to next practices to deliver more value to customers and make a positive societal impact!
7 key benefits of a cross-industry approach:
- Best practice thinking continually optimises silo’s and sectors, so the potential for cross-industry approaches is therefore quite high, hence next practices!
- Expertise from another industry can generally be used without competitive conflicts.
- Making broader use of advances helps a company lower costs and generate additional revenue from its own investments in development.
- Project risks and development time can be reduced by using expertise from another industry.
- Opening up different types of skills and combining them across industries can help a company improve its own innovation capacity.
- A company gains new perspectives on its own product or service range by focusing on essential factors for success and on analogies.
- Experimentation leads to valuable insights, to be able to do experiments business leaders need to become more comfortable and subtle about failure (managed risk).
Cross-industry innovation: work smarter not harder
In today’s business world, cross-over cooperation and learning between silos and sectors is crucial.
Designing these collaborations and finding new solutions needs a new discipline: cross-industry innovation. Ramon Vullings is a cross-industry expert, he engages with clients via his research, projects and keynote presentations. Ramon speaks enthusiastically about how you can go from best to next practices in your business!
Ramon helps business leaders, engineers, new business development and Finance & HR managers with strategy, tools & skills to look beyond the borders of their domain to transform their business in a smarter way.
Ramon is the author of 4 management books on applied creativity & innovation. His book: “Not Invented Here: cross-industry innovation” has already been translated into 5 languages and with over 60,000 copies, sold a true management bestseller.
In this one hour keynote, the audience will also get acquainted with a concrete cross-industry learning tool they can apply themselves immediately.
As a speaker, he has an energetic TED style. His keynotes and sessions are very interactive and full of relevant examples & visuals.
Cross-industry innovation
Don’t copy-paste, copy-adapt-paste!
Cross-over cooperation between silos and sectors is crucial. This interactive and engaging keynote is based on the research by Ramon for his latest book: Not Invented Here: cross-industry innovation, filled with great insights & examples to learn from other areas.
Reducing Risk Aversion
Not a failure, yet a nearling!
For innovation and change it is just as important to let go as it is to come up with new ideas. For letting go you need guts. Guts is what remains if risk aversion is reduced. This -very- interactive presentation takes you over some boundaries…
Cross-Silo Leadership
Augment vertical with lateral relationships
Be an ideaDJ: implement a remix strategy
Don’t invent, discover & combine!
In this keynote Ramon outlines the need for ideaDJs in today’s organisations, The world has many complex challenges which cannot be solved anymore from a single dimension, (innovation) leaders need to understand the enourmous value which can be obtained by (re)mixing ideas cross silos.
Making ideas happen
1% inspiration, 99% transpiration
At many clients we hear the same remarks: ‘We have enough ideas, we just can’t implement them!‘.
Based on Ramon’s consulting experience, he provides key insights and tangible action steps to start selecting, testing & implementing your ideas today! Get ready for (inter)action!
Become an ideaDJ: Fashion as interface for the future
Galactic connections, ready for next frontiers
In this combined keynote Jasna Rok & Ramon Vullings take the audience on a journey to the future and even to space! Using holograms, 3D models and cool examples, they show the audience the power of cool combinations: here and even in space!
Eco-Systems and Partnerships
99% of the smartest people don’t work for you…