Data Science in Cyberspace

June 23-25, 2019 | China

Data science in cyberspace is an integral part of competitive intelligence, a newly emerging field that encompasses a number of activities, such as data mining and data analysis. Data science in cyberspace inspires novel techniques and theories drawn from many areas, such as mathematics, statistics, information theory, computer science, and social science, and involves many specific domains, such as signal processing, probability models, machine learning, statistical learning, data mining, database, data engineering, pattern recognition and learning, visualization, predictive analytics, uncertainty modeling, data warehousing, data compression, computer programming, and high performance computing.

Spotlight

Advances in machine learning are powering new products from speech recognition to Smart Reply. But how does the "intelligence" in these systems actually work—what's going on inside a finished product, and what major challenges remain? In this session, we share a behind-the-scenes look at three machine learning technologies we're working on at Google.


OTHER PAST CONFERENCES

Microsoft Dataverse Summit

November 17-18, 2022 | UK

We are Excited to Announce the Microsoft Dataverse Summit is taking place on the 17th & 18th November 2022 for Beginner to Advanced Deep Dive Sessions on Dataverse Administration and Development #Dataverse Zero To Hero from Beginner to Advanced!

Data + AI World Tour

December 1, 2022 | Singapore

Lakehouse is fast emerging as the new standard for data architecture but every region has its own unique stories and challenges. Please join us for this virtual event with speakers, customers and content designed with you in mind.

Advances in Data Science and AI: Aline Villavicencio

November 29, 2022 | UK

This will be a hybrid event, taking place at The University of Manchester and online. Aline Villavicencio | Computational modelling of idiomaticity in language Contextualised word representation models have been successfully used for capturing distinct (and very specific) word usages, and therefore could provide an attractive alternative for accurately determining meaning in language.

Data Modeling Essentials

December 5-7, 2022 | USA

The modeling landscape is rapidly evolving as demands for data increase at all levels of the enterprise and data management technology evolves to support new development processes. While many things have changed, the practice of data modeling continues to play an important role in helping organizations provide context and a coherent structure to their data.

Spotlight

Advances in machine learning are powering new products from speech recognition to Smart Reply. But how does the "intelligence" in these systems actually work—what's going on inside a finished product, and what major challenges remain? In this session, we share a behind-the-scenes look at three machine learning technologies we're working on at Google.

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