The project explored adjustments to scheduling and booking, analyzed the impact of additional staff and meeting rooms, and examined the effects of changing group sizes for school visits.

By leveraging AI tools to clean and enrich CRM contact data, organisations can improve the precision of their client outreach and make data-driven decisions.

During the project the students analyzed 5,642 public responses to the proposed EU-wide PFAS restriction, examining stakeholder stances, lobbying arguments, and industry involvement using LLM-based text classification.

The project focused on automating the extraction of GHG emissions disclosures from financial institutions’ annual reports, replacing manual processes. A retrieval-augmented generation system was developed and tested.

Many businesses struggle with staffing optimization, demand forecasting, and leveraging operational data effectively.

Maintaining military readiness is increasingly challenging due to aging populations and shrinking youth cohorts.

In a world of ever-growing networks, it is crucial not just to build models, but to understand what they reveal.

Operational technology (OT) networks present unique cybersecurity challenges due to their complex interdependencies, lack of historical breach data, and exposure to potentially massive financial losses.

Organizations often face challenges in assessing their Power Platform adoption maturity due to time-consuming manual interviews and inconsistent evaluations.

The project with ZenGate focused on analyzing and optimizing beekeeping operations to support sustainable forest management and improve honey production.