Brussels, Belgium – FARI research associate Hassan Haddochi shared his insights on data challenges that AI startups face at the Data Innovation Talk held on 27 September 2022, with the theme “The Future of Data”.
“When you come up with AI projects, it is important that there is a challenge that only artificial intelligence can solve,” reminded Haddochi for startups that aim to implement AI projects. The gathering and processing of high quality data always come hand-in-hand with data privacy and these are essential components of the future data economy.
When we talk about data, Haddochi pointed out key things that businesses need to take into serious consideration. This includes the accuracy and reliability of data, ethical considerations around data collection and processing, and data security and privacy. Very concretely, Haddochi presented three AI project cases that demonstrated best practices in dealing with data. For instance, OKO App engaged with the community to collect accurate and reliable data; FARI’s SIMPLEX project with Brussels’ Public Administration was done through established partnerships with reliable institutions and organizations; and UNIPLAY collected data through gamified quizzes created with relevant scientific sets of questions.
Haddochi also identified two biggest challenges facing AI businesses as of late. The first is to find the right data, while the second is to tackle the high cost and time-consuming process involved in generating data. The latter challenge, however, is the only viable option that determines the success of the AI projects and these two challenges make AI projects complex to implement.
Two other speakers, Danielle Jacobs, CEO of Beltug, and Marc Toledo, managing director of bit4you, also shared their insights on the topic alongside Haddochi.
Data Innovation Talk is a platform that delivers actionable insights about data innovation through the Data Innovation Talk Podcast and Live DITalk Webcasts with an objective to grow the audience’s data innovation knowledge and experience.