Impact of Cybersecurity, Machine Learning, Autonomous Vehicles, and Robots on IT World

Running Head: INFORMATION TECHNOLOGY 1
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Assignment title: Information Technology
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INFORMATION TECHNOLOGY 2
Introduction
In the IT world, cybersecurity, machine learning, autonomous vehicles, and robots have greatly
impacted and change ways in which things work out in the digital world. These four areas have a
different state of the art in contribution towards the new technology. Additionally, various things
can be done to improve them, both now and in future (Salmeron 2019, p. 120)
What it does
In many developed countries amongst them, the European countries, cybersecurity has faced
several deficiencies forcing law enforcers to pass laws that can help in filling the gaps
experienced in the field of IT. Additionally, several data regulation and protection agencies have
been established with the task of implementing technical and organizational measures that can
help to enhance cybersecurity (Treichel & Fongaro 2019, p. 200). Almost all the legal sources
are demanding that cybersecurity should be brought up to the level of "state of the art," but they
have failed in stating out clearly what needs to be understood by this. Based on the findings
obtained on a daily basis regarding cybersecurity, there are several loopholes which need to be
addressed and fixed (Salmeron 2019, p. 120)
Machine learning has been of great importance in technological advancements in the fields of
mathematics, computer science, IT, and other fields that need coding. It has been the heart of
various technological innovations and discoveries by mathematicians and computer experts.
Without the innovation and discovery of machine learning by computer scientists, life was hard
since the entire process of finding resources and papers on subjects of interest was so hectic.
Therefore, the new technology on machine learning can be said to be of great positive impact on
people's lives and has greatly improved as well as easing online experience (Timko 2019, p. 108)

INFORMATION TECHNOLOGY 3
Autonomous vehicles technology has recently seen billions of recommendations from the
investment sector, spectacular readvancements, and tragic reminders on measures than can be
implemented to improve customer experience in this field. It has been classified to be improving
and undergoing advancements on day to day basis thus getting positive recommendations about
its technological advancements (Huang 2019, p. 3)
Lastly, robots have been developed in various fields. There are various forms of robots meant to
serve different purposes in the new technology. For example, there are robotic vehicles
developed in a manner through which they serve the purpose of human being in vehicle
operation, service robots, space robots, humanoid robots and robots for both biological and
medical use based on the criteria of their functioning and commercialization (Treichel &
Fongaro 2019, p. 200).
A number of things can be done to improve on the cybersecurity, machine learning, autonomous
vehicles, and robots in enhancing their positive impact on this new technology of innovations.
For example, in the case of cybersecurity, government agencies and statutory bodies need to pass
laws to curb cyber insecurity. For the case of machine learning, autonomous vehicles, and robots,
the government needs to invest more into these innovations and allocate more finances into
scientific innovators who can do more research and come up with measures and innovations to
improve on this new technology (Tsihrintzis, Sotiropoulos & Jain 2019, p. 2). Additionally, in
future dates, for example, three years to come, there is a likelihood of advancements in the
technology of these four areas of the IT world. There is a likelihood of innovation of new
measures that can be put in place to improve on the cybersecurity, innovations of the new
technology and coding in machine learning, innovation of new models of autonomous vehicles
as well as coming up with the current up to date robots that can be used in several fields as