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participant 1 indicated that the participants’ organisation applied AI
and analytics tools: applications mainly within viticulture operations,

marketing and other general applications. UK participant 1 have a

limited application of BD, AI and analytics tools across the wine life
cycle, claiming that the full implementation of BD, AI and analytics is

an expensive exercise. This indicates that participant 1 organisation

have a knowledge gap in this field.

Participant 3 from Italy: The supporting transcript for Italy participant

3 (shown on table 7) stated “I am being taught by the local wine

industry”. This indicates that the participant is aware of BD. However,

Italy participant 3 indicated that the participants’ organisation applied
limited AI and analytics tools: mainly within fertigation, viticulture

operations. The participant stated that they hardly applied other

related applications. This indicates that participant 3 organisation

requires education and research defining a program of work to identify
and apply relevant BD, AI and analytics applications (at each stage of

the wine life cycle) that saves them money. The participant 3 supports

the idea of a coop organisation – one that could potentially promote

the application of such tools.

4.4. Taken out before sharing

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