This 2-day course is designed to provide product development professionals
and R&D teams with an in-depth understanding of how AI technologies are
transforming the product development lifecycle. Participants will explore a
variety of AI tools that enhance formulation, concept visualization, and
packaging design, while also learning how digitalization is revolutionizing the
R&D environment.
Throughout the course, you will gain hands-on experience with AI-powered
tools that streamline brainstorming, idea generation, and improve
collaboration. The focus will be on integrating AI and digital ways of working to
improve the overall effectiveness and efficiency of R&D operations.
Day 1: Introduction to AI in Product Development
1. Session 1: Overview of AI in Product Development
o Introduction to AI and its impact on product development.
o Key trends in AI-driven innovation for product teams.
o Case studies of AI in product innovation.
2. Session 2: AI for Formulation & Concept Visualization
o Formulation:
How AI aids in product formulation (data-driven
formulation techniques).
AI tools used in optimizing formulations (e.g., machine
learning for ingredient combinations).
o Concept Visualization:
Leveraging AI for fast concept design and prototyping.
Tools and platforms for visualization (e.g., computer vision
for product design).
3. Session 3: AI in Packaging Design
o Role of AI in smart packaging design.
o Sustainability through AI-based packaging solutions.
o Practical hands-on: Exploring AI-driven tools for packaging design
(e.g., 3D modeling).
4. Session 4: Digitalization in R&D
o Overview of digitalization in the R&D environment.
o How AI accelerates R&D processes: From data collection to real-
time testing.
o Digital twins and simulation technologies in R&D.
Day 2: AI Tools for Brainstorming & Efficiency in R&D
1. Session 1: AI Tools for Brainstorming and Idea Generation
o Introduction to AI-supported brainstorming tools.
o Using NLP and AI to analyze trends, customer feedback, and
market demands.
o Collaborative platforms powered by AI to generate creative
product ideas.
2. Session 2: Digital Ways of Working in R&D
o Transitioning R&D teams to digital-first methodologies.
o Tools for increasing R&D collaboration and remote work efficiency
(e.g., AI-powered project management software).
o Automation in R&D: AI for data collection, analysis, and decision-
making.
3. Session 3: Improving Effectiveness and Efficiency in the R&D
Environment
o Enhancing operational workflows through AI-driven insights.
o AI-based forecasting and decision-making for faster product
development cycles.
o Best practices for integrating AI into the R&D workflow.