Future of BioAI
4
Registered participants
1
Participants in matchmaking
Welcome to Future of BioAI!
On May 12, 2026, FoB:AI – Future of BioAI will bring together decision-makers, practitioners, and technology providers for a free international online event dedicated to the use of artificial intelligence and digitalization in biotechnology and sustainable industry.
The event explores how digital technologies and AI can jointly accelerate the bioeconomy — from research and material innovation to bioprocessing and production, including OT/IT integration and digital twins, as well as sustainability data, compliance, and circular economy solutions.
At the heart of the event are the questions many companies are currently facing: How can growing complexity be managed? Where does AI create real value? And how can organizations move from initial ideas to scalable industrial applications?
You can look forward to:
-
Inspiring keynotes from industry, research, and technology experts
-
Interactive panels offering space for exchange and discussion
-
Diverse opportunities for networking with potential customers, suppliers, business partners, and other key stakeholders.
Whether as a participant or speaker – FoB:AI brings AI and bioeconomy together, promotes intelligent, sustainable solutions and establishes valuable contacts at the interface of technology and biological value creation.
Register here for the event: https://events.teams.microsoft.com/event/18aaaddb-0a4c-4c39-9453-09999542ebdf@33481050-7add-4f71-b27d-94200a4fee43
Find further information here: https://ceresana.com/en/events/future-of-bioai
Event Topics
Future of BioAI is all about how AI is advancing the bioeconomy in practice – from research and product development to production, quality, and market launch. Possible topics include:
AI Use Cases from Real-World Bioeconomy Projects
Hands-on project stories with measurable impact (e.g., faster development cycles, higher yields, lower scrap), plus common pitfalls and key learnings.
Materials Innovation & Formulation (Data-Driven Development)
Designing and optimizing materials, additives, compounds, coatings, adhesives, and packaging—moving from experimental data to scalable, production-ready formulations.
Lab Automation & “Self-Driving” R&D
AI-supported experiment planning, high-throughput testing, semi-automated labs, and faster iteration loops in industrial research.
Bioprocess & Biorefinery Optimization
Fermentation, process monitoring and control, energy efficiency, predictive maintenance, and digital twins for more stable and efficient operations.
Circularity & Recycling
AI for sorting, feedstock analysis, recycled-material quality assessment, and process optimization in both mechanical and chemical recycling.
CO₂-Based and Alternative Carbon Pathways
Modeling and optimizing CCU and Power-to-X processes, exploring new process routes, and scaling from pilot to industrial deployment.
Transparency, Sustainability Data & Compliance
PCF/LCA, Scope 3, traceability, data quality, standards, and regulatory requirements—making sustainability reporting audit-ready.
Supply Chain, Risk & Market Intelligence
Forecasting feedstock availability, improving resilience, modeling price and risk, and running demand and scenario analyses across biobased value chains.
Data Strategy & Implementation in Industry
Data infrastructure, OT/IT integration, governance, security, running models in production (monitoring and updates), and change management.
Generative AI & Knowledge Work (R&D and Operations)
AI assistants for documentation, report and log analysis, root-cause investigations, training, SOPs/work instructions, and faster access to internal know-how.