(g)
(h)
Encourage universities and tertiary institutions to establish post-doctoral fellow research
posts on contract terms to undertake R&D activities in collaboration with industry players and
Government agencies; and
Establish R&D institutions in the counties to instil the spirit of innovation.
18 NEW INNOVATIONS AND SERVICES IN ICT
18.1 Introduction
The dynamic nature of ICT's continues to create new and emerging issues which pose new challenges
in the governing, administration and regulation of ICT usage. Technological changes in ICT demand
that there is corresponding changes in ICT infrastructure, applications, devices, legal and regulatory
environment among others. These technological changes come with immense challenges in terms of
resources, skills, infrastructure, and other amenities required in order to adapt to the new and
emerging ICT technologies. Some of the emerging issues in ICT Include: -
18.2 Internet of Things (IoT) and M2M Communications
The Internet of Things (IoT) is a system of interrelated computing devices, mechanical and digital
machines, objects, animals or people that are provided with unique identifiers (IP addresses). IoT will
address the problem of capturing data about things in the real world by reducing or even eliminating
dependency of computers on human beings for information in favour of a system of interrelated
devises with the ability to transfer data over a network without requiring human-to-human or humanto-computer interaction.
For Internet of Things to be deployed successfully there is need to increase IP addresses, number of
smart nodes and the amount of upstream data the nodes generate which is expected to raise new
concerns about data privacy, data sovereignty and security.
18.2.1
(a)
(b)
(c)
(d)
(e)
(f)
(g)
Policy objectives
Immediate need for information privacy policy and legislation;
Ipv6 adoption;
Cyber/Information security;
IOT devices with regards to law enforcement;
Internet mobile and broadband coverage- promote expansion of coverage;
Create environment for local innovation to solve issues relevant to Kenya;
Adopt efficient frequency and spectrum management techniques.
18.3 Big Data
Big data is data that exceeds the processing capacity of conventional database systems. The data is
too big, moves too fast, or doesn’t fit the structures of known database architectures. To gain value
from this data, alternative ways to process it must be choose. One of the ways is Machine to Machine
communications whereby information is collected and processed by machines rather than human
beings. The value of big data to an organization falls into two categories: analytical use, and enabling
new products. Big data analytics can reveal insights hidden previously by data too costly to process,
such as peer influence among customers, revealed by analysing shopper’s transactions, social and
geographical data. Being able to process every item of data in reasonable time removes the
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