In this session participants learned how to build AI based proof of concepts from ideation and co-creation to rapid prototyping!
With the help of a computer vision game Natalie Faber, Practice Lead at Liquid Studio Accenture ASG, demonstrated how an AI solution was developed using deep learning techniques such as facial and mood recognition, object detection as well as gamification. During the session participants had the opportunity to try out and play the game themselves.
A project always starts with a problem. The problem needs to be identified to define goals from where a solution can be designed and developed.
Innovation goes along with POCs
POCs help to try out something new in a simple, fast and completely decoupled way from the existing solution.
AI needs the right data
Without enough and good quality data even the best developed AI system can’t provide good results.
Sample lightweight architecture which can be moved with low effort from offline to scalable cloud solution by using microservice approach.