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Detlef Nauck

Chief Research Scientist for Data Science
BT

Detlef is the head of data science research in BT's Research and Innovation Division located at Adastral Park, Ipswich, UK. He is leading a group of international scientists working on Intelligent Data Analysis and Autonomic Systems. His interest is making data analytic techniques more widely available by automating analytics and embedding them into systems and processes. His research focusses on developing new ways of analysing data to achieve better insights and how to conduct analytics professionally and responsibly. Detlef is a Visiting Professor at Bournemouth University and a Private Docent at the Otto-von-Guericke University of Magdeburg, Germany. He has also published over 120 papers, holds 6 patents and 30 active patent applications.

Check out the incredible speaker line-up to see who will be joining Detlef.

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Day 1 - Making Analytics A Game Changer Today

Sunday, December 4th, 2016

14:25 Synergy Workshop: Building a sophisticated analytics hub- How to identify the right mix of platforms and best in breed providers that will allow you to deliver the actionable insights your business needs

Fit for purpose: How to master the trick of sourcing analytics technology that supports your specific business needs
Getting past the tech hype: How do you prioritise all the platforms out there based on what you actually need?
No silver bullet: How do you assess complimentary technologies that will work in harmony to better facilitate your analytics capabilities?
Embedding the intelligence: How can you leverage new analytics solutions that allow your business users to easily get the information they need as autonomous agents?

Day 2 - Setting Your Division Up For Future Success

Wednesday, January 4th, 2017

14:55 Case Study: Hiring right-How to best leverage data science university programmes to enhance your recruitment process

How are universities tailoring new data science programmes to support the talent shortfall?
Promoting your company as a data science innovation hub: How do you build and maintain better partnerships with academia to attract fresh data talent?
Making the right match: How do you coordinate your talent needs with academic initiatives to enhance your recruitment success?
Creating appeal: How to build training programmes that appeal to graduates to fill the data science skills gaps in your team
How can you collaborate with universities to increase business acumen in current graduates to improve the success rate of the future generation of data scientists?