Use of database in viticulture for Decision Support System; Data ownership; Using data-driven models and algorithms to forecast vineyard performance and anticipate potential challenges; By collecting and analyzing historical data on weather patterns, soil conditions, pest and disease outbreaks, and vine health, predictive tools can help vineyard managers make informed decisions about future actions; Training on the day-to-day uses of AI in viticulture, including integration with satellite, drone imagery, and sensor systems; Ethical concerns about its misuse and limitations; Practical applications in viticulture; Challenges: difficulties in understanding and applying the technology due to a general unfamiliarity with AI, and limitations related to infrastructure and network coverage in rural areas. Issues with managing and integrating data from AI and sensors.