Dr Detlef Nauck, BT on " Programming with Data"

Conference TFNetworkAutumn21

Data Science - The beating heart of AI
➣ Conference overview and registration 
➣ YouTube TFNetworkSummer21 Conference Playlist 

Dr Detlef Nauck is the Head of AI & Data Science Research.

He runs BT’s AI and Data Science research programme where he focuses on making best use of data through AI and machine learning. A key part of his work is to establish best practices in Data Science and Machine Learning for conducting data analytics professionally and responsibly. 

He has a keen interest in AI Ethics and explainable AI as means to tackling bias and increasing transparency and accountability in AI. He has a PhD and a post-doctoral degree in Computer Science with a focus on Data Science and Machine Learning. He is also a visiting professor at Bournemouth University.

LinkedIn

Programming with Data

Experienced Data Scientists know that the biggest challenge to using insights from data in an operational setting is to get hold of good quality data. Pretty much every talk or blog mentions that 80% of the effort in any data science project are spent on data access and data wrangling. My take is that this effort will approach 99% soon simply because the analytics and machine learning parts are becoming largely automated. It is time that we shift focus from techniques and software to data and make it clear to ourselves what we are doing in Data Science and in particular in Machine Learning – we are programming with data.