Kieran McCorry, National Technology Officer at Microsoft Ireland discusses interesting initiatives around education & inclusivity, helping businesses deliver a better customer experience, successful examples of AI and cloud services in the industry & what to expect at the AI Awards
Welcome to episode 52 of AI in Action Ireland, the podcast that breaks down the hype and explores the impact that Data Science, Machine Learning and Artificial Intelligence are making on our everyday lives.
Continue reading “E52 Kieran McCorry, National Technology Officer at Microsoft Ireland”
Suzanne Little, Funded Investigator at the DCU Insight Centre for Data Analytics discusses the Smart Stadium project with Croke Park, the need for more education on AI, the potential of deep learning and much more
Welcome to episode 23 of AI in Action, the podcast that breaks down the hype and explores the impact that Data Science, Machine Learning and Artificial Intelligence are making on our everyday lives.
Continue reading “E23 Suzanne Little, Funded Investigator at the Insight Centre for Data Analytics”
It was a packed house once again for the sixth Data Science Ireland meetup with another excellent line-up of speakers. On Wednesday we learned about Creative AI disrupting the entertainment business and how we can increase public awareness of Artificial Intelligence.
Continue reading “Data Science Ireland Meetup August Review”
In episode 17, Kevin Koidl, Research fellow with the ADAPT Centre at Trinity College Dublin discusses his belief that there is a lot more to come from AI in Education, the challenges businesses face adhering to the new GDPR rulings, Wripl Technologies and much more
Welcome to episode 17 of AI in Action, the podcast that breaks down the hype and explores the impact that Data Science, Machine Learning and Artificial Intelligence are making on our everyday lives.
Our goal is to share with you the insights of technologists and data science enthusiasts to showcase the excellent work that is been done within AI in Ireland.
Today’s guest on the show is Kevin Koidl. Kevin is a Research Fellow with the ADAPT Centre at the School of Computer Science and Statistics in Trinity College Dublin. His main research lies in content personalisation, the future of social networks, eLearning, data privacy and ethics.
Kevin completed his PhD in Computer Science at Trinity College in 2014 and he commercialised the findings of his research by setting up Wripl Technologies, which offers trend and engagement prediction software. He is also a speaker and writer focused on Social Network Innovation, AI and Machine Learning and has delivered presentations at likes of 3XE Digital and the Predict Conference.
In today’s episode, Kevin will tell you about:
What did you make of Kevin’s podcast? Where do you see the future of Artificial Intelligence heading in the next few years? I would love to hear your thoughts so please leave a comment below.
If you would like to hear more from AI in Action then please subscribe and don’t forget to like and share with your friends on social media.
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AI Awards 2018: Applications Open
Connecting Ireland’s AI ecosystem for a higher purpose
Applications are still open for you to take part in the inaugural AI Awards and showcase your skills and expertise to the AI community on the island of Ireland.
The AI Awards is a not-for-profit organisation dedicated to promoting, advancing and rewarding corporate and academic excellence in Artificial Intelligence (AI) innovation, research & development and products.
It is our mission to support the AI community by recognising the hard work and dedication of those working in the field and to help promote and market Ireland globally as the first-choice home for AI investment and job creation in research and product development.
For more information about the awards and how to apply, head over to www.aiawards.ie
Applications for the inaugural AI Awards are now open for you to take part in a fantastic opportunity to showcase your skills and expertise to the Irish AI community.
It is obvious to me that a lot of use cases and business problems today are already resolved using ‘the machine.’ However, behind what we have already established, what is ahead of us?
