Keve to offer fully subsidised AI training for businesses in Nicosia

Nicosia, Cyprus. The Cyprus Chamber of Commerce and Industry (Keve) will organise a fully subsidised training course in Nicosia on November 11-12, 2026, to help businesses apply emerging technologies to digital transformation and strategic development.

Schedule and funding

Keve’s programme, “Innovative AI Methodologies for Digital Transformation and Strategic Development”, will take place at its Nicosia building. Michalis Agathocleous will deliver the training in Greek, with sessions running from 8.45am until 4.45pm each day.

The Human Resource Development Authority of Cyprus (Anad) will provide full funding, meaning eligible attendees will not have to pay the training costs.

Who the course is for

The programme targets directors of businesses, general managers and executives at senior level. It is also intended for managers and specialist employees whose responsibilities include information technology, information services or data management.

Other eligible professional areas covered by the programme’s target audience include finance, marketing, human resources, strategy, digital transformation, operations and environmental, social and governance (ESG) functions.

The course is designed to give professionals practical approaches to using innovative AI tools in their organisations.

AI tools and business applications

According to the programme outline, participants will examine AI’s current capabilities and strategic significance for businesses, together with frameworks and methodologies for implementing AI-led transformation.

The training will address prompt engineering and generative AI, including uses beyond chatbots. It will also explore how AI copilots can support report preparation, data analysis and productivity improvements.

Further topics include knowledge assistants, intelligent automation, AI agents and retrieval-augmented generation (RAG). These sessions will focus on how the technologies function and their potential applications.

Participants will also study ways to identify AI applications with high value and rank them by priority, alongside analytics supported by AI and decision-making informed by data.

Data foundations and analytics

The programme will place particular emphasis on the readiness, quality and governance of data as the basis for AI initiatives.

It will also examine the shift from descriptive analytics, which explains past events, towards prescriptive analytics, which helps establish the actions that should follow.