Insight, a new Science Foundation Ireland (SFI) Research Center for Data Analytics was launched in December 2013 in Ireland. In today’s society, an increasing torrent of data is being created every second. Insight will play a leading role in developing next generation technologies to capture and transform the raw databeing generated into valuable concepts and ideas that can inform better decisions about society, the economy, healthcare and government. Insight will work with more than 30 industry partners, ranging from small Irish startups to established SMEs and large multinationals, on a range of projects to advance data analytics technologies in Ireland.
Neelie Kroes, Commission vice president responsible for the Digital Agenda, participated in the World Economic Forum, in Davos on 21-25 January 2014. She talked about a vision for a connected, open and secure Europe and especially emphasized that Europe should not reject the huge economic and social opportunities offered by Big Data.
On 15 January, the European Commission organised an information and networking day focusing on the Big Data Innovation-related objectives of the Horizon 2020 Work Programme for 2014-2015. The first ICT call for H2020 opened 11 December and closes the 23 April.
The event gathered more than 400 participants with the aim to share information and present ideas on the objectives:
Today, leading representatives of industry, science, and politics kicked off the establishment of the Smart Data Innovation Lab (SDIL). This high-performance infrastructure facility and the supply of data from industrial processes are major prerequisites for excellent research relating to big data.
Big Data as a growth opportunity for the European economy and society was emphasized in a speech of Ms. Neelie Kroes, Commissioner for the Digital Agenda given in November 2013 during the ICT conference in Vilnius. In her speech, she stressed that policy makers should support this process in several ways and called for a European Public Partner Partnership.
Data scientists are often considered to be wizards that deliver value from big data. These wizards need to have knowledge in three very distinct subject areas, namely, scalable data management (e.g., data warehousing, Hadoop, parallel processing, query processing, SQL, and storage & resource management), data analysis (e.g., advanced statistics, linear algebra, optimization, machine learning, and mathematics) and domain area expertise (e.g., engineering, logistics, medicine, or physics).
In this blog post, I will discuss some economic, societal, and legal issues concerning big data. One often hears that ”data is the new oil.” Like oil, data is a complex product derived from numerous processing and refinement steps and an entire economic ecosystem involving drilling stations, refineries and distribution networks, which include filling/gas stations. Similarly, one can draw an analogy for the big data realm.
Today, analysts seek to derive insight from large, heterogeneous, high-velocity (i.e., big) data sets using varying data analysis methods. These data sets are ubiquitous. They arise due to burgeoning cloud computing services, the anticipated Internet of Services (IoS), and the emerging Internet of Things (IoT). Big data is often defined as any data set that cannot be handled using today’s widely available mainstream solutions, techniques, and technologies.