Speaker Details

Dale Lane

IBM

Dale is an architect for Kafka and event-streaming in IBM Integration. As the lead developer for IBM Event Streams, he learned about managing Apache Kafka in Kubernetes, and how to make this useful to enterprises. He is also the creator of Machine Learning for Kids, which is a resource for teaching AI and ML which is used by schools around the world.

Dale is an architect for Kafka and event-streaming in IBM Integration. As the lead developer for IBM Event Streams, he learned about managing Apache Kafka in Kubernetes, and how to make this useful to enterprises. He"/>

Explaining machine learning to kids

Children are growing up in a world where machine learning is fast becoming ubiquitous and will affect many aspects of their lives. So we should be helping them to understand what machine learning is and what it can do, and how it impacts the world around them. 

This session will demonstrate free tools from IBM, MIT, Mozilla, and Google that can be used by children to learn about machine learning through hands-on creative activities. Children in schools and code clubs around the world are using these to make their own games and interactive ML projects, and learning about the way these technologies behave and are applied.

 

Artificial Intelligence
Education
Machine Learning

The evolution of the AI developer

Learning to code in the modern era is a world away from how many of us developed our skills. 


Programming used to be algorithmic and is becoming ever more heuristic in its nature, with machine learning and artificial intelligence coming more to the fore.


Having been a developer for 18 years - yes, his development career is officially an adult - Dale Lane has spent much of his time working on AI and ML projects. From involvement in large-scale research ML projects led by expert PhD’s to fun educational projects with a school class of 8-year olds, he has seen first hand how the developer experience has changed massively. 


Join us as we take a retrospective look at how we have coded in the past, speculate on what might come next, and consider what that could mean for the next generation of developers. 

Artificial Intelligence
Development
Learning
Developer
Machine Learning