How a Product Manager can make a product more successful using ML and AI, without the help of a programmer

Are you planning multiple product growth and are not ready to spend the budget on a DS-specialist? Working with data is not always expensive and difficult, but in order to make the right decisions in a project, you need not be afraid to understand the approaches. On the live broadcast on February 3rd, you will learn how to tame ML and AI technologies for a product! What shall we talk about: ✔️ Why do you need AI and ML, and what to expect from them in your product. ✔️ When the product itself can implement these technologies with benefit. ✔️ What to do to implement AI or ML with your own hands: simple instructions. ✔️ Examples of successful implementations of simple AI and ML solutions in products. ✔️ How to screw it up: Examples of solutions you shouldn't waste your time on. ✔️ Where to start: step-by-step algorithm for Product Manager.  Speaker: Mikhail Dopira - has been developing and implementing machine learning algorithms for over 10 years. Founder of Data Tracer, a consulting company that helps clients get tangible results from deeper data analysis.  February 3 19:00 - 20:00 (UTC + 02!) Registration: https://bit.ly/39lBB2H