Presented By O'Reilly and Cloudera
Make Data Work
22–23 May 2017: Training
23–25 May 2017: Tutorials & Conference
London, UK

Schedule: Emerging Technologies sessions

17:2518:05 Wednesday, 24 May 2017
Location: Capital Suite 14
Level: Non-technical
Daniele Quercia (Bell Labs), Giovanni Quattrone (UCL)
Sharing economy platforms are poorly regulated because there is no evidence upon which to draft policies. Daniele Quercia and Giovanni Quattrone propose a means for gathering evidence by matching web data with official socioeconomic data and use data analysis to envision regulations that are responsive to real-time demands, contributing to the emerging idea of algorithmic regulation. Read more.
17:2518:05 Wednesday, 24 May 2017
Location: Capital Suite 15/16
Secondary topics:  AI, Text Analysis and Mining
Level: Non-technical
Adam Smith (Automated Insights)
Average rating: ***..
(3.75, 4 ratings)
Natural language generation, the branch of AI that turns raw data into human-sounding narratives, is coming into its own in 2016. Adam Smith explores the real-world advances in NLG over the past decade and then looks ahead to the next. Computers are already writing finance, sports, ecommerce, and business intelligence stories. Find out what—and how—they’ll be writing by 2026. Read more.
16:3517:15 Thursday, 25 May 2017
Location: Hall S21/23 (B)
Level: Beginner
Galiya Warrier (Microsoft)
Galiya Warrier demonstrates how to apply a conversational interface (in the form of a chatbot) to communicate with an existing data science model. Read more.