Page 3 - Big data - Concept and application for telecommunications

Foreword

Our future will be built on the smart use of data. With
ICTs everywhere, data is being generated everywhere.
We have amassed an enormous wealth of data,
creating a resource of enormous productive value. In
our knowledge-driven modern economies, data will
fuel innovation in all industry sectors and public-sector
bodies.

ITU standardization aims to provide the technical
foundations of this innovation.

Maximizing the collective benefits of our fast-growing
wealth of data will call for the collaboration of a
multitude of different communities. Collaboration on
the ITU platform will be fundamental in ensuring that
data drives social and economic development in all
regions of the world.

‘Big Data’, as its name suggests, refers to the rapid
generation of very large volumes of data and associated
challenges in managing, analysing and visualizing this
data.

ITU standardization work addresses the Big Data
ecosystem, the lifecycle of Big Data, Big Data security
and management, and ICT applications supported by
Big Data.

The foundational ITU standards for Big Data presented
by this publication offer a common point of reference
to all interests innovating with the help of Big Data.
They also provide a common point of reference to ITU
standardization experts.

Data is omnipresent in ITU standardization work.
Chaesub Lee
Data gives life to Artificial Intelligence and Machine Director of the ITU Telecommunication
Learning. Data analytics are bringing more automation,
precision and dynamism to network management and Standardization Bureau
control. Data generated by smart cities informs the
improvement of public services and environmental
sustainability. Advances in multimedia rely on advances
in data compression and analytics. Cloud computing
systems record event data from aircraft, cars and other
connected machinery to pinpoint the source of
performance anomalies. Security measures for data
protection are crucial in building trust in ICT.

These areas form just a sample of the many dimensions
of data’s influence on ITU standardization.

This publication aims to build greater understanding of
the concepts, driving forces and key features of Big
Data and associated implications for ITU’s ongoing and
future standardization work.
I welcome you to take advantage of the ITU
standardization platform – a platform where all voices
are heard, where standards efforts do not favour
particular commercial interests, and where resulting
standards have the consensus-derived support of the
growing and diverse ITU membership.

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