The project intends to develop a Slovenian – Cuban innovation cluster model for biopharma, medical and nanotechnologies sectors along the period 2020 – 2021. The project can be considered a pilot model for interregional cooperation, facilitating knowledge sharing and technology transfer from and to participant countries, and could be replicated or extended to other countries in Latin American and Caribbean region, and in Southeastern Europe/The Balkans region as well. An e-training course “Application of Advanced Technologies and New Business Models in the Biopharma and Medical Sectors” was launched in May 2023.
Activity Type Trainings/Workshops
As part of UNIDO’s TIGARA project, and in collaboration with local technology providers, the project will implement pilot demonstration models of AI-based solutions in target clusters. These pilots aim to serve as proof of concept and encourage SME adoption by showcasing tangible benefits in productivity, cost-efficiency, and market responsiveness. These AI-driven solutions aim to solve the issues relating to quality inspection and control, as well as early warning systems for diseases and climate change.
As a first example initiative, it has been agreed to pilot two smart hives in coordination with the Beekeeping Research Center, to serve as reference models, and to assess the impact of smart hive monitoring using AI and IoT-driven hive monitoring to interpret sensor data for hive health, behaviour analysis, and resource optimization enhancing productivity, quality, and bee health in the honey cluster.
The projects have implemented an interactive community platform that enables members to showcase their organizations’ profiles and list products, services, and areas of expertise in a shared marketplace. An integrated AI-powered recommender system suggests relevant organizations based on user behavior and preferences, streamlining the process of discovering valuable connections and opportunities.
Activity Type AI Tools/SolutionsNetworks/Mentorship/ExchangeUNIDO’s SME upgrading component in Lombok focused on strengthening the resilience and competitiveness of SMEs in traditional and creative industries. In shrimp farming, the project introduced AI-powered tools — smart water quality sensors for continuous monitoring of critical water parameters. Real-time data analysis enabled prompt decision-making and optimized pond conditions, leading to healthier stock and higher yields.
Activity Type AI Tools/Solutions