Advances in Data Science 2019

May 20-21, 2019 | UK

A two-day meeting to present recent developments in data science. This year's meeting is themed around four topics: Health & Wellbeing, AI & Robotics, NLP & Text Mining and Security & Privacy. Invited speakers include leading data scientists from industry and academia, and there will be the opportunity to submit abstracts for talks and posters. Talks will range from application-focussed to advanced data science methodologies.

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True transformation emerges when you take a data-first modernization approach. See how you can accelerate with a data-first modernization strategy.


OTHER PAST CONFERENCES

DMBD 2022 : 7th International Conference on Data Mining and Big Data

October 21-24, 2022 | China

The Seventh International Conference on Data Mining and Big Data (DMBD'2022) serves as an international forum for researchers and practitioners to exchange latest advantages in theories, algorithms, models, and applications of data mining and big data as well as artificial intelligence techniques. The main theme of this year DMBD'2022 is FinTech.

Google Data Cloud Live: Seattle

November 15, 2022 | USA

Join us for a half day of learning and innovation, exploring how you can harness the power of data to make smarter business decisions and solve your most complex challenges.

Data Science Connect Conference 2022

October 19-20, 2022 | USA

The Fifth Annual Data Science Connect Conference 2022: "Data Science: What Lies Ahead" will feature data experts and practitioners across industries and disciplines as they discuss what lies ahead for data science in their respective industries and domains.

Data Stewardship and the secure sharing of data

November 2-3, 2022 | South Korea

The UN Statistics Division and Statistics Korea (National Statistical Office of the Republic of Korea) have co-organized every year an international seminar regarding important issues on the global statistical agenda since 2010. The seminar has covered a variety of social and economic issues from the perspective of statistics. For example, we have discussed the role of data and statistics in understanding open data and data disaggregation for reaching Sustainable Development Goals; and using big data for official statistics. As we recover from the COVID-19 pandemic, the significance of timely data using new data sources and data linkage has increased and it has provided us with new opportunities to the international statistical community for discussing the data stewardship and the data security issues.