Learning from Failure to Find Success
Learn from the experience of Business Leaders as they share stories of professional failures.
Success doesn’t
come easily.
Our speakers have been working in data science and AI for many years. During that time, they’ve experienced instances that have changed the course of their lives or careers.
Perfection is
impossible.
Although failure is uncomfortable, it can be the best vehicle for learning how to overcome difficulties and self doubt to learn how to succeed in the future.
Learn how to make the most of your mistakes and failures.
Hear from industry experts how to learn from your mistakes and grow from difficulties. Get insights on how to use mistakes and failures to propel you to success later on.
You will hear stories from:
Marta Markiewicz
Head of Data Science Objectivity
Hold your data horses
Modelling is so much fun! There is no such feeling in the world as when you achieve high accuracy and low error, you just feel like telling the whole world about it. What’s more, you want to get as
fast as possible to this exciting phase, so you tend to remove the only obstacle in your way – the data dirt, and you do it with the world record of typing speed. Beautifully done!
Though… is it really?
Setting a foundation for successful machine learning projects
Set a foundation for successful machine learning projects that get people’s buy-in and turn a successful notebook project to a successful feature project.
Eitan Anzenberg, PhD
Chief Data Scientist Bill.com
Joseph Nelson
Professor of
Condition Monitoring Luleå University of Technology
Overestimating the power of data driven in prognosis
Predictive maintenance is one of the most promising domains where Industrial AI might perform. However, predicting the lifespan of assets based on data collected from sensors and neglecting or ignoring the models of those assets may led to many mistakes in the remaining useful estimation and therefore terrible decisions.