In the context of a growing maturity of companies on Big Data, the question of deploying an agile organization that will place data at the heart of the decision-making process is more than ever.
In addition, the rise of Machine Learning and Artificial Intelligence combined with Big Data offers unprecedented opportunities to develop applications in various domains: fraud detection, customer experience revolution, predictive ...

More information about the event here: https://www.bigdataparis.com

Businesses are changing more and more quickly to take advantage of the opportunities of digitizing business processes and markets. Big data technologies form the core of digital transformation. The data science is going to mature the process from the artisan to the industrialization.

The Big Data Summit has been the annual meeting of data management decision makers since 2013. Over 650 users of advanced big-data solutions, policy-makers, technology providers, strategy and innovation consultants, as well as academics are being brought together.

OASC hosts the 4th Connected Smart Cities Conference on Thursday, January 12, 2017 in Brussels, Belgium, in collaboration with the European Committee of the Regions and other close partners. Registration is free. City leaders, community initiatives, representatives of the European institutions, tech experts and business developers will join the conference. We are looking forward to an exciting conference.

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Le PCN TIC organizes, with the collaboration of DG CONNECT an information day about Big Data Topics in H2020. 

The event will bring together the Cyber-Physical Systems, embedded intelligent systems and advanced computing communities across Europe and is set to reinforce exchange and strengthen the links between the Horizon2020 CPS projects, Artemi

Big Data PPP Information and Networking Days 2017, organised by the Unit Data Policy and Innovation (CNECT G1), will take place on 17 and 18 January 2017 in Luxembourg Congrès in Luxembourg. 

The new biennial conference series on Language, Data and Knowledge (LDK) aims at bringing together researchers from across disciplines concerned with the acquisition, curation and use of language data in the context of data science and knowledge-based applications. With the advent of the Web and digital technologies, an ever increasing amount of language data is now available across application areas and industry sectors, including social media, digital archives, company records, etc.