Are you a product manager who wants to learn from other people’s mistakes and create better AI products? Are you a consumer of enterprise software who wants to better distinguish between “good" and “bad" AI products? Are you a product leader who wants to set her team up for success?

While working on Einstein at Salesforce, Sensei at Adobe, and Freddy at Freshworks, I have come to several obvious and several non-obvious conclusions about building (successful) AI-based business software products and I want to share them with you.

Incorporating some of these strategies into your practice will allow you to have more satisfied customers, happier employees, and better software for your business needs. Most importantly, implementing these practices will lead you closer to a better career since you will have access to job opportunities like never before. Further, it will help you make the transition from the Internet era to the AI era. It will even help you ease into the next inevitably emerging technology trend, leaving you proactive and prepared before the trend fully takes off.

About the speaker:

Peter Stadlinger is an experienced product leader with a demonstrated history of working in SaaS. Skilled in Artificial Intelligence, Machine Learning, and Digital Marketing. Strong product management professional with a Master’s degree focused in Computer Science from Karlsruhe Institute of Technology (KIT). In his current role, Peter focuses on democratizing artificial intelligence, specifically deep learning and natural language processing, for the purpose of personalizing customer experiences at scale.