AI, You Are 57 Years Old, but Are You Mature?
DS & AI Practice Team This session is offered as a scheduled group session with our expert.


What To Expect
It’s one thing to think about AI’s age in and of itself, and another to think about how long and how much it has impacted organizations so far. In this session, we’ll explore the reasons for the gap between AI’s technological potential and practical application — and how organizations can close this gap for their benefit.
AI Maturity as a Concept
AI Maturity as a KPI
Business Cases of AI Immaturity
Practical Advice
See how wide the gap is between AI’s potential and its practical business application.
Learn how you can measure the AI maturity of your enterprise in terms of how effectively you use AI and machine learning to build strategies and govern data.
Understand more deeply what keeps businesses from better realizing AI’s full potential.
Learn the practical steps your enterprise can take to reach a higher level of AI maturity.
AI Maturity as a Concept
AI Maturity as a KPI
See how wide the gap is between AI’s potential and its practical business application.
Learn how you can measure the AI maturity of your enterprise in terms of how effectively you use AI and machine learning to build strategies and govern data.
Business Cases of AI Immaturity
Practical Advice
Understand more deeply what keeps businesses from better realizing AI’s full potential.
Learn the practical steps your enterprise can take to reach a higher level of AI maturity.
AI Maturity as a Concept
See how wide the gap is between AI’s potential and its practical business application.
AI Maturity as a KPI
Learn how you can measure the AI maturity of your enterprise in terms of how effectively you use AI and machine learning to build strategies and govern data.
Business Cases of AI Immaturity
Understand more deeply what keeps businesses from better realizing AI’s full potential.
Practical Advice
Learn the practical steps your enterprise can take to reach a higher level of AI maturity.


About Our Speaker
Before becoming Lingaro's Head of Data Science and AI Practice at Lingaro, Paweł Kryszkiewicz gained experience as an AI product manager, AI delivery leader, and R&D consulting director. He is responsible for the development of tools and solutions based on new technologies for various sectors, such as finance, CPG, telecommunications, and healthcare. He is a travel enthusiast, and his work allows him to mix business with pleasure in the best way possible.