Today, 80% of projects containing artificial intelligence (AI) ultimately fail to deliver on their intended promises to business. AI teams claims a major source of challenges is to be found in senior leadership who are lacking to see the value it can bring. However, is this the real problem? This keynote takes you behind the scenes of the AI world and looks in a non-technical way at the different components that are needed in order to succeed.

According to research, despite increased interest in and adoption of artificial intelligence (AI) in the enterprise, only companies able to position AI in the new economical model (people, profit & planet) return value when it gets to AI.   

Multiple factors come into play when developing and implementing an AI project: Data, skills, domain understanding, company culture, AI strategy, data strategy, team setup, ... are a just few topics that play a key role in the success of AI projects.  

In this session, it will become clear that the major focus should not be on data and technology, but on people and processes. You will understand the current maturity of the technology and learn what’s needed to move beyond the typical PPP (Pilot, POC & Prototype) phase.  The goal of the session is to guide you towards the successful drivers of AI projects in an accessible way.