Embarking on the journey of AI - better come prepared! (N-sight)

Location:virtual meeting



Artificial Intelligence (AI) and machine learning are fairly new technologies, and companies are seeking to define the optimal fields of application within their organisations. They need to uncover the opportunities where AI and Machine Learning can bring higher efficiency, accuracy or power to processing and analysing data.


So when you are starting an AI-related project, you need to consider all the ins and outs wisely: what is your goal, how will AI help you in this area, how can you avoid bias in your algorithms, and so on.


This session brings a variety of insights. First, we’ll hear from Workday about how to use ‘off-the-shelf’ solutions to jumpstart your machine learning experience. Then Roularta will share its real-life machine learning story and roadmap. We’ll hear another real-life story from UZA, which will give us a retrospective on its smart internal SEO. And we will wrap up by examining the drivers for success in AI, with Mieke De Ketelaere from imec.


With 4 speakers on the agenda, we are aware this event will require a lot of our members' attention. However, we are convinced of the value and interest of each of these presentations! We are therefore including time for a short break. Also, you are welcome to 'link in' at your convenience.









This event will be held as an interactive virtual meeting. The link will be provided in the Confirmation email.



You are welcome to link in at your convenience, for the presentations that interest you.



13:30 Welcome and introduction


Ann Guinée, Communication Manager, Beltug (English)


13:40 Approaches for Machine Learning in Human Resources and Financial Management


Many common tasks in human resources and financial management may be improved by machine learning (ML), through increased accuracy and reduced completion time for example. However, the effort to build and maintain such ML solutions is high. In this presentation, you will learn approaches and considerations for using 'off-shelf' ML solutions provided by application vendors.


Eileen Smyth, Chief Trust Officer, Workday (English)


14:10 User story: Roadmap to Personalising 1-to-1 with Machine Learning


Roularta Media Group works on a platform that provides customers with personalised content: algorithms work on customer preferences and behaviour, to classify the customers. Then content of the different brands is scored on the potential to attract traffic, to engage the readers, and finally to convert them to a subscription. Let's discover Roularta's roadmap for Machine Learning, and the smart personalised apps and sites they develop, that will offer visitors tailor-made content.


Yves Wittouck, PO Data Analytics, Roularta (English)


14:40 Q&A: Your questions, your experience


14:55 Short break


15:10 User story: I search, therefore I find - A look at UZA’s smart internal search function, with machine learning as the driving force.


Online users know what they are looking for, and they want to find it as soon as possible. That’s where a smart internal search function comes into play. Research shows that visitors who use the internal search function view more pages, stay on the website longer and return more often. So how did UZA optimize its internal search function into an intelligent digital assistant? What role did machine learning play? And what do the data from the on-site search teach us? A retrospective and preview of the internal SEO strategy of the UZA.


Caitlin Stabel, Digital communications officer, UZA (Dutch)


15:40 The good, the bad and the ugly: What are the drivers for success in AI?


Despite increased interest in and adoption of artificial intelligence (AI) for the enterprise, research shows that 85% of AI projects ultimately fail to deliver on their intended promises to business. In this session, you will discover the good, the bad and the ugly when it comes to errors in current AI projects. You will see how people and processes, as well as data and technology, are successful drivers for AI implementations. And you will gain a transparent view on the future AI innovations.


Mieke De Ketelaere, Program Director AI, imec (English)


16:10 Q&A: Your questions, your experience


16:30 Wrap up & End


We will keep the session open after the end to enable those who wish to continue the discussions.