AI, You Are 57 Years Old, but Are You Mature?

Duration: 60 minutes Host: Paweł Kryszkiewicz, Head of DS & AI Practice, Manager,
DS & AI Practice Team
This session is offered as a scheduled group session with our expert.
Ask for available time slots
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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.

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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. 

Ask for available time slots

Fill in and submit this form to signify your interest. Within two days of registering, a representative will reach out to you to discuss your team’s knowledge needs and provide available time slots for you to choose from.