Despite the promise of AI, business benefits remain scarce. But the path to operationalize AI starts with ample data and proving a concept. Join Devron and Publicis Sapient AI Labs data science experts to hear about overcoming AI challenges, like data access, tool selection, and data mining. During this 1-hour event, they will discuss lessons learned from failed AI projects and new approaches to preserving data privacy and delivering better AI outcomes.
In this webinar we'll discuss how to: Implement faster, more successful POCs - where to focus & how to avoid pitfalls Access more data while strengthening privacy controls for AI development Rapidly test AI and data science hypotheses Operationalize explainable AI for competitive benefits and decisioning balance Improve user engagement - identify user needs and deliver transformation