2 Day Artificial Intelligence Event in Cambridge
Join our community of hundreds of researchers, analysts and data scientists for an opportunity to network, develop new skills and gain insight into the evolving field of data science.
Hear from industry and academic speakers representing a range of sectors, from research and bioinformatics to business and finance
Learn about the practical application and implementation of the latest tools, techniques to industry case-studies.
Share knowledge, pick up new ideas and connect with developers, analysts, researchers and executives.
The Data Science Summit’s are all about putting research into action. You can see how the latest techniques are implemented, network with other leaders and specialists in the field who make research actionable, and get insight on how you can help transform your company, teams and the way you work.
Sarah Curshen, Director of Executive Education Custom Programmes, Cambridge Judge Business School
Prof. Kenneth Benoit
Professor of Quantitative Social Research Methods, London School of Economics
Session: Quantitative Text Mining, the Social Scientific Way: Mining Social Media on Brexit
Dr. Sebastian Kaltwang and Brook Roberts
Machine Learning Engineer, FiveAI
Session: Overcoming the Data Bottleneck for Self-driving Cars
Kevin Nelson
Cloud Developer Advocate, Google
Session: Google Cloud AutoML
Alison Lowndes
Artificial Intelligence DevRel EMEA, Nvidia
Session: Artificial intelligence and the evolution of the computing platform
Dr Haitham Bou-Ammar
Head of Reinforcement Learning and Tuneable AI, Prowler
Session: Data-Efficient Reinforcement Learning
Dr Maksim Sipos
CTO, causaLens
Session: Automated feature extraction and selection for challenging time-series prediction problems
Dr Jeremy Bradley
Lead Data Scientist, Royal Mail
Session: Data Science as a Transformative process
Dr Steven McDermott
Qualitative Analysis and Social Media Lead, HMRC
Session: AI as Moderator/Mediator in the Recognition of Citizen’s Voice with Social Media
'SOCIAL' NETWORK ANALYSIS OF THE MEDIA ECOLOGY 