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#9
#5
#4
#7
With sophisticated algorithms, huge sets of data to analyze and
the processing power to do so, we can draw the full benefits from
deep and machine learning and create a personalized experience
for individuals. The potential is enormous and might ultimately
lead to autonomous systems within the security sector: image
interpretation, speech recognition and decision support, to
mention a few.
The cryptocurrency Bitcoin is a worldwide payment system
that uses blockchain as its base. As an open ledger that can
record transactions between two parties in a verifiable and
permanent way, blockchain enables the authentication of
anything of value. In the coming year we will start to
see blockchain being tested in multiple applications
across numerous sectors.
102018
technology trends
that will shape
DEEP AND
MACHINE LEARNING
THE BLOCKCHAIN:
MORE THAN BITCOIN
#1
#3
CYBERSECURITY –
STAY SAFE IN SPACE
People are more connected than ever
and therefore more vulnerable to cyber­
attacks. Due to increased threats, more
pressure is put on companies to secure
devices from illegal access.
Deep learning could potentially deliver highly personalized services,
but there are concerns regarding privacy. These are met by legislation,
for example the EU’s General Data Protection Regulation (GDPR).
Organizations and businesses will have to balance increased perso­
nalization with the protection of each individual’s privacy.
PERSONALIZATION
VS. PRIVACY
MOVING TOWARD THE EDGE
A predicted quadruple increase in data transfer 2015-2020
will lead to a subsequent demand for greater bandwidth.1
This issue can be alleviated through edge computing.
By processing data at the “edge” of the network,
near the source, the need for bandwidth
is decreased.
INTEGRATING SMART CITY SILOS
Urbanization, where 66 percent of all people are expected to live in
cities by 20502
, will push for the use of sensors to help create a more
sustainable and safe environment. By sharing information and data
between previously isolated city silos, it will be possible to effectively
manage a city’s assets and deal with urban challenges, from traffic
congestion and ageing infrastructure to natural disasters and
terrorist attacks.
#8
SEEING WITH NON-VISUAL SENSORS
#2
IT infrastructures will see an increase in cloud computing, where data
is processed and stored outside the device. With an increasing number
of cloud-based services offered, the eco system is quickly taking over
traditional on-site solutions.
SEE YOU IN THE CLOUD
Internet of Things (IoT) will need scalable architecture to
collect and analyze data while managing the connected
devices effectively. Using existing network infrastruc­
ture, IoT platforms will allow equipment from different
node vendors to coexist and easily exchange informa­
tion to form smart systems. International or de facto
standards could push interoperability even further.
REALIZING THE FULL
BENEFITS OF IoT
#6
IoT
With the use of non-visual sensors, the view will become multi-
dimensional. The richness of data will enable a more rapid and accu­rate
assessment of situations and subsequently more effective response
to real alarms, while minimizing false alarms. Radar, for instance, is not
sensitive to things that normally trigger false alarms and can provide
details about any object’s exact position and direction of travel.
1
Cisco Global Cloud Index: Forecast and Methodology, 2015–2020
2
United nations: world urbanization prospects 2014
VIRTUAL ASSISTANTS &
AUGMENTED REALITY
Amazon’s Alexa, Google’s Home, Apple’s Siri, Micro-
soft’s Cortana and the forthcoming Facebook M
are virtual assistants that help people manage their
daily lives. This technology will inevitably find its
way into the business environment, as consumers
will expect the same level of help at work as they
get at home. Similarly, augmented reality (AR) that
has largely existed within the military and aviation
shows enormous potential in the business arena,
readily available in mobile devices and a number
of wearables.
#10

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10 technology trends that will shape security industry 2018

  • 1. #9 #5 #4 #7 With sophisticated algorithms, huge sets of data to analyze and the processing power to do so, we can draw the full benefits from deep and machine learning and create a personalized experience for individuals. The potential is enormous and might ultimately lead to autonomous systems within the security sector: image interpretation, speech recognition and decision support, to mention a few. The cryptocurrency Bitcoin is a worldwide payment system that uses blockchain as its base. As an open ledger that can record transactions between two parties in a verifiable and permanent way, blockchain enables the authentication of anything of value. In the coming year we will start to see blockchain being tested in multiple applications across numerous sectors. 102018 technology trends that will shape DEEP AND MACHINE LEARNING THE BLOCKCHAIN: MORE THAN BITCOIN #1 #3 CYBERSECURITY – STAY SAFE IN SPACE People are more connected than ever and therefore more vulnerable to cyber­ attacks. Due to increased threats, more pressure is put on companies to secure devices from illegal access. Deep learning could potentially deliver highly personalized services, but there are concerns regarding privacy. These are met by legislation, for example the EU’s General Data Protection Regulation (GDPR). Organizations and businesses will have to balance increased perso­ nalization with the protection of each individual’s privacy. PERSONALIZATION VS. PRIVACY MOVING TOWARD THE EDGE A predicted quadruple increase in data transfer 2015-2020 will lead to a subsequent demand for greater bandwidth.1 This issue can be alleviated through edge computing. By processing data at the “edge” of the network, near the source, the need for bandwidth is decreased. INTEGRATING SMART CITY SILOS Urbanization, where 66 percent of all people are expected to live in cities by 20502 , will push for the use of sensors to help create a more sustainable and safe environment. By sharing information and data between previously isolated city silos, it will be possible to effectively manage a city’s assets and deal with urban challenges, from traffic congestion and ageing infrastructure to natural disasters and terrorist attacks. #8 SEEING WITH NON-VISUAL SENSORS #2 IT infrastructures will see an increase in cloud computing, where data is processed and stored outside the device. With an increasing number of cloud-based services offered, the eco system is quickly taking over traditional on-site solutions. SEE YOU IN THE CLOUD Internet of Things (IoT) will need scalable architecture to collect and analyze data while managing the connected devices effectively. Using existing network infrastruc­ ture, IoT platforms will allow equipment from different node vendors to coexist and easily exchange informa­ tion to form smart systems. International or de facto standards could push interoperability even further. REALIZING THE FULL BENEFITS OF IoT #6 IoT With the use of non-visual sensors, the view will become multi- dimensional. The richness of data will enable a more rapid and accu­rate assessment of situations and subsequently more effective response to real alarms, while minimizing false alarms. Radar, for instance, is not sensitive to things that normally trigger false alarms and can provide details about any object’s exact position and direction of travel. 1 Cisco Global Cloud Index: Forecast and Methodology, 2015–2020 2 United nations: world urbanization prospects 2014 VIRTUAL ASSISTANTS & AUGMENTED REALITY Amazon’s Alexa, Google’s Home, Apple’s Siri, Micro- soft’s Cortana and the forthcoming Facebook M are virtual assistants that help people manage their daily lives. This technology will inevitably find its way into the business environment, as consumers will expect the same level of help at work as they get at home. Similarly, augmented reality (AR) that has largely existed within the military and aviation shows enormous potential in the business arena, readily available in mobile devices and a number of wearables. #10