Artificial intelligence (AI) and data analytics are rapidly developing technologies that have a big impact on organizations. By utilizing AI and data, companies are redefining how they create value.
Many of today’s business professionals may not be technology experts, but knowledge of technology is critical to keeping a business competitive. They need to know how to gauge the quality and reliability of AI Models or how to find the best way to connect the ambitions with AI technology and the current culture and level of knowledge within their organization. In this 6-day course you will learn to recognize opportunities where data and AI can create value. You will take steps towards becoming an analytics translator, bridging data analytics/ AI and the business goals.
Participants consist of managers or professionals who have an interest in the topic of Data Science & AI. They are looking for the latest scientific insights and a link to daily practice.
No specific knowledge on Data Science / AI is required to follow this program.
We start by giving an intro into the world of Data Science & AI. What does this field entail? Examples of businesses and projects, explore your own maturity.
Starting with business understanding: what are the latest developments, new business models and how can you create value? What are your strategic focus points?
Moving to reality- with your strategic goal in mind. Get ready! How to organize data and prepare for success?
What is needed to make meaningful predictions from data? Learn the basics of data analysis and models and define the approach for your use case.
Generative AI is booming and should be explored in further detail. Learn about the models behind Generative AI, the tools and how to integrate these in your business reality. But not without understanding risks and ethical considerations.
On the last day we look at implementation of your data science & AI strategy. Each participant presents and defines the next steps.
Empower yourself with our comprehensive training program – a journey designed to equip managers, policymakers and strategic consultants with the essential skills in Data Science & AI.
Our goal is clear: shape individuals into skilled experts who not only understand these cutting-edge methods but can apply them strategically. From shaping successful Data Science and AI projects to becoming a key connector, post-training, you’ll move smoothly through being a management sparring partner for data opportunities and a technical collaborator for data scientists and AI experts. Elevate your role as the bridge between innovation and execution, ensuring the transformative power of Data Science & AI is harnessed to its full potential.
True organizational impact arises from an approach tailored to your specific business context & sector. We give you the tools, mindset and skills to take effective action.
As part of the eco-system and the alumni community there is continuous learning and use- case projects in collaboration with the other learning programmes that can continue to benefit the organization, even beyond the PE programmes. This includes JADS MKB DataLab, DEiA projects, EngD and Masters’ graduation projects.
Take the leap with us and connect your business strategy with Data Science & AI! After completing the form, we well get in touch with you shortly to finalize the details.
What can we do for you? Leave your phone number and question behind. Our colleague Ellen Geerts will call you back as soon as possible:
Ready to explore Generative AI’s potential for your business even further? Our Professional Education team at JADS has developed a Bootcamp Generative AI for professionals. This will guide you through the latest developments and practical application in 6 sessions.
Transform your organization with our customized incompany Data Science & AI program, aligning seamlessly with your goals, budget, and schedule. Take charge of the learning journey, foster team dynamics, and enjoy cost savings with our flexible and cohesive training solution.
Data Science and Data Engineering complement each other and are indispensable for data-driven operations and governance. Organisations need to improve their data strategy, led by C-level management, to gain efficiencies and comply with regulations such as GDPR, CSRD(ESG) and NIS2.