AI Opportunity Scan: Discover where AI can deliver the greatest value for your organisation

Dedimo wanted to explore how AI could help automatically transcribe therapy sessions between client and therapist and generate reports.

Heerema Marine Contractors operates the world’s largest crane vessels, equipped with many sensors that together generate millions of measurements every day. This sensor data is critical for safer operations, lower emissions, better engineering and well-founded investment decisions.

When the regular Analytics Translator of a service organisation went on maternity leave, the team sought our help to ensure ongoing AI projects ran smoothly. At the same time, the organisation wanted a fresh, external perspective: how was the role being filled, and where could improvements be made?

Volero.nl is a young and fast-growing company that sells rugs through a webshop and a physical store. The company is primarily active in the Netherlands but is growing rapidly across Europe, including Belgium, Germany and Poland. To support this growth, it is essential for Volero to work in a data-driven way.

Since the launch of ChatGPT, an increasing number of organisations have been exploring the question: "How can we apply AI within our organisation?" At this hotel chain as well, employees have already been using AI applications on their own initiative and recognise the potential to scale their use further. They sought pragmatic AI applications tailored to their domain and an approach focused on creating business value. The hotel chain engaged with multiple partners and ultimately chose to work with us. Our pragmatic approach was the decisive factor in their decision.

Talent Garden provides masterclasses and training programs to students, engaging with them through various online and offline touchpoints. Online interactions include completed contact forms and information requests, while offline touchpoints involve meetings and calls with Talent Garden’s sales team. Throughout the customer journey, from initial contact to final enrollment, Talent Garden collects extensive data*. With a wealth of raw data at their disposal, they sought to improve their enrollment strategy and the effectiveness of their sales team. To achieve this, they asked us to develop a data model that could better predict the likelihood of a new contact eventually becoming a student.

Financial institutions need to process large amounts of documentation. For this particular institution, an internal team facilitates this by, for example, creating summaries using text analysis and natural language processing (NLP). They make these available to the various business units. To conduct audits more efficiently, they wanted to develop a question-and-answer model to get the right information to them faster. When ChatGPT was launched, they asked us to create a proof of concept.

An essential part of Otis's business operations is the maintenance of their elevators. To time this effectively and proactively inform customers about the status of their elevator, Otis wanted to implement continuous monitoring. They saw great potential in predictive maintenance and remote maintenance.

FrieslandCampina Global facilitates local teams in Europe, Asia, and Africa. They want to gain a better understanding of the market and provide the teams with new insights. The goals are to strengthen their competitive position and to identify new opportunities for expansion.

The outbreak of the corona pandemic in early 2020 has turned the world upside down. In addition to countless infections, hospitalisations and deaths, we also saw an outbreak of violence in many countries. Citizens took to the streets, sometimes violently, to protest against the measures taken, but domestic violence also increased in many places and fear and frustration played a role in racism.

Vesteda was curious if social listening – monitoring and analysing social media discussions about a brand, competitors, products or hashtags/keywords – could add value to the organisation. To this end, we started a project that consisted of two parts: exploring possibilities for social listening in the Corporate Communication department and applying social listening in an ongoing Data Science project.

RNW Media builds online communities in countries with limited freedoms. In these communities, young people can read and discuss sexual and reproductive health and rights (SRHR) and civil rights. In addition, RNW Media is working on advocacy – putting the interests of young people on the map with governments.

Residential investor Vesteda is working on a new website. If an available rental home has a garden, the location of the garden must be listed on the webpage of that home. This information was not yet available in the database. We were instructed to determine the location of the garden based on the coordinates of the homes.

Fair Wear is a non-profit organisation that aims to improve the working conditions of employees in garment factories. The NGO has collected a lot of documentation about its activities in recent years, for example in the form of reports from a complaint line for factory employees, reports of audits that check whether factories comply with the guidelines, and reports of training for factory employees. This information is stored as typed text, usually in Word or PDF format.

An increasing number of people are traveling by public transportation. Several stations in The Netherlands are being rebuilt or renovated to keep up with the growing number of train passengers. For the rebuilding and layout plans, information was needed on station traffic. NS Stations also wanted to improve transfer safety in collaboration with ProRail.