Artificial Intelligence and Big Data: Exploring Tech Trends

This essay delves into the technological trends of Artificial Intelligence (AI) and Big Data, highlighting their significance in modern advancements. AI, defined as machine intelligence, encompasses areas like speech recognition, learning, and problem-solving, with applications ranging from analytical to human-inspired systems. The essay explores AI's goals, including reasoning, knowledge representation, and planning, and discusses its benefits, such as enhanced efficiency, automation, and problem-solving capabilities, while also addressing potential risks. Big Data, the other focus, involves analyzing large datasets for strategic business decisions, emphasizing volume, velocity, variety, and variability. The essay outlines the benefits of Big Data, including cost reduction, improved decision-making, and the development of new products. It also covers different types of Big Data, including structured, unstructured, and semi-structured data, along with its characteristics and applications across various sectors. Overall, the essay underscores the transformative potential of AI and Big Data in driving technological innovation and societal progress.

Running head: ARTIFICIAL INTELLIGENCE AND BIG DATA IN TECHNOLOGY TRENDS
Artificial Intelligence and Big Data in technology trends
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1ARTIFICIAL INTELLIGENCE AND BIG DATA IN TECHNOLOGY TRENDS
Artificial Intelligence also known as machine intelligence is said to be the
intelligence that is demonstrated by the machines relevant to the natural intelligence as
depicted by humans. It can be stated as an area in computer science technology that tends to
emphasize the creation of the machines that are intelligent to work as well as react likely as
humans. Some of the activities that are performed by the computers associated with artificial
intelligence includes speech recognition, the learning methodology, the planning
methodology as well as the problem solving skills in a real time basis (Russell and Norvig,
2016). The core problems that are mitigated by the usage of this technology involves the
factors of knowledge, problem solving, and perception, reasoning as well as manipulation
ability.
The portion of the artificial intelligence can be divided into three various types of
system. This are likely to be analytical, humanized artificial intelligence as well as human
inspired. Analytical artificial intelligence has the characteristic of cognitive intelligence that
incorporates the past situations to take actions regarding the future decisions (Parkes and
Wellman, 2015). The human inspired artificial intelligence comprises of the elements like
emotional intelligence as well as cognitive intelligence. This type of AI focuses on the human
emotion with respect to machine learning.
The overall perception of this technology is to develop an enhanced technology that
will allow the computer as well as the machines to perform in an effective and intelligent
manner (Ahmad, 2018). The goals regarding the development of this type of technology
includes many factors. These are described below:
 Reasoning: Many developers in the field of artificial intelligence has developed many
algorithms that tends to provide a step wise reasoning facility that are relevant to the
use of intelligence by humans in the field of puzzle solving as well as making

2ARTIFICIAL INTELLIGENCE AND BIG DATA IN TECHNOLOGY TRENDS
deductions that are logical. Moreover, these reasoning algorithms are limited to
smaller reasoning solving issues (Copeland, 2015). They are not capable to solve
large reasoning problems. However, the technology of artificial intelligence uses fact
as well as intuitive judgements to solve the reasoning issues.
 Knowledge representation: the AI systems are quite capable to store explicit
knowledge contents. The knowledge base that are gathered with the help of this
technology comprises of objects, categories, properties the states, events as well as
time. This knowledge seems to be very useful in the future approaches (Russell et al.,
2015).
 Planning: Intelligent systems tends to plan goals as well as their task is to achieve
them. The agent associated with this sector provides great level of cooperation
regarding the planning procedure of any task that is to be carried out by this
technology.
The benefits regarding the usage of AI by the society of information technology can be
stated as follows:
1. Enhanced efficiency and throughput: The primary benefit provide by AI in the sector
of automobiles is the enhanced efficiency. This provided a huge benefit to the society
by developing new opportunities through generation of revenues as well as job
creation and many more (Pearson, Jolle and Evans, 2018).
2. Frees humans: The technology tends to serve with various tasks implying the factor
that allows most of the humans not to perform their tasks physically. Thus, it can be
said that this technology facilitates the users by performing their daily tasks. For
example the robots that are used for carrying out the daily tasks (Lu et al., 2018).

3ARTIFICIAL INTELLIGENCE AND BIG DATA IN TECHNOLOGY TRENDS
3. Strengthens the economy: This technology encourages an evolution for the job
market. The enhanced combination of the machine with the humans is said to be the
new future in terms of the technology implementation.
4. Pursues to loss of control: There is a concern regarding the loss of control in the
society if the machines become much smarter in respect to humans. However, if the
implementation is done in a limited manner then it will be fruitful for the society
(Koch, 2018).
5. Enhances the lifestyle: The implementation of the technology is said to enhance the
lifestyle of the society by developing more businesses.
6. Enhanced learning: The implementation of this technology enhances the learning
capabilities of the society in an excellent manner.
7. Increases automation: The AI possess the capability for performing the tasks that
requires extensive human labour.
8. Solve problems: The implementation of the AI solves many types of complex
problems that are persistent in the society.
However, the AI has two risks associated with respect to its implementation. This
includes the fact that if the implementation is carried out for performing any type of
devastating situation. The wide range of implementation of AI is now carried out in the
weapon sector. Hence, if this technology gets exposed to the wrong hands it can create
devastation regarding the society and can create a number of casualties. Therefore, it is
necessary to keep a constant track of this AI implemented weapons. Moreover sometimes the
architecture of AI is developed for performing something beneficial but it may happen that it
does not works out in the way it is planned. Hence, the ecosystem might observe an adverse
effect due to the implementation of the AI.

4ARTIFICIAL INTELLIGENCE AND BIG DATA IN TECHNOLOGY TRENDS
Thus from the above stated observations it can be deduced that the technology of AI
depicts a great enhancement in the field of technological advancement for future devices.
This can also be said that the technology will provide a number of opportunities in the field
of information technology and provide a great amount of benefits to the society .
Big data is said to be a field of technology that analyses the systematic information to
deal with the data sets with the help of the data-processing application software. This
describes a large amount of data whether it be structured or unstructured that are used in the
business on a day-to-day basis (Wamba et al., 2017). This technology is implemented for the
development of the better decisions as well as strategic business moves. The big data
analyses the current conditions of the business and eventually stores the data in terms of
volume, velocity, variability, variety as well as complexity.
The benefits of big data involves the fact that the most amount of data that is being
stored in the database of the businesses that are using this technology. This technology
mainly focuses on the four factors that are said to be reduction in the cost, the reduction in
time, the development of the new product as well as offerings of the optimized features to the
products and the smart as well as intelligent making of decisions (Tsai et al., 2015). If the big
data technology is combined with great power of analytics then the technology can enhance a
great number of tasks such as
 Determining the root causes of issues failures, as well as defects in a real time basis.
 Developing coupons at the sale point based on buying habits of the customers.
 Recalculating the overall risk in the whole system.
 Identification of the fraudulent behaviour prior it affects the organization.

5ARTIFICIAL INTELLIGENCE AND BIG DATA IN TECHNOLOGY TRENDS
The big data is associated with the fields such as in the sectors of banking, education,
government, healthcare, manufacturing as well as retail (Wang et al., 2016). This
technology is used in these fields as in this organizations a log of data is associated. This
data are stored for the future uses.
There are basically three types of big data technology that are in use in the fields a
stated above. These are
1. Structured: This sector stores the data, which can be processed as well accessed in a
fixed format that is the data is to store in an organised manner.
2. Unstructured: The data that is stored in the database in an unorganised format it is
known as the unstructured data.
3. Semi-structured: This type of data contains both the forms of data. The semi-
structured data can be defined as a table with the help of relational database
management system. Instance of semi-structured data is represented via an XML file.
The main characteristics if the big data is stated as follows:
Volume – The Big Data is related to an enormous size. The data size plays an important role
for determining evaluated data value. In addition, if a particular data is considered as a Big
Data, then it is dependent on the volume of the present data (Singh and Reddy, 2015).
Therefore, 'Volume' is a crucial characteristic, which i8s needed to be considered while
allocating with Big Data.
Variety – The next important characteristic of Big Data is the variety. This refers to the
heterogeneous sources as well as the nature of data, both unstructured as well as structured.
In the earlier days, the databases and the spreadsheets are depicted as the only resource of the
data that are mostly considered by applications (Erevelles, Fukawa and Swayne, 2016). The

6ARTIFICIAL INTELLIGENCE AND BIG DATA IN TECHNOLOGY TRENDS
data is stored in the form of photos, monitoring devices, videos, PDFs and many more
formats. These are also considered in the application analysis. This variation of unstructured
data indicates certain problems regarding storage, analysing and mining data.
Velocity – The word 'velocity' indicates the speed of data generation. It relates to the fact
thata how fast the generation and processing of data is done to cope with the demands thus
determining the original potential of data. The velocity characteristic of data deals with the
data speed flows in the sources like processes of business, application logs, sensors, and
social media sites, networks, electronic devices and many more The data flow is continuous
as well as massive (Ahmed et al., 2017).
Variability – this incorporates the inconsistency that is shown regarding the timing of data,
thus hampering the procedure of handling as well as effectively managing the data (Xu,
Frankwick and Ramirez, 2016).
Benefits of Processing Big Data: The ability to execute Big Data includes multiple
benefits, that are likely to be –
 Businesses can apply the intelligence while making decisions
 This can help to improve the service that are provided to the customers. The feedback
of the customers are very necessary regarding the implementation of the big data
technology.
 The prior risk identification regarding the services as well as products
 Better efficiency of the operations
 Big Data technologies are used for developing an area regarding the new data that are
to be stored in the warehouse of the data. Moreover, the integration of the

7ARTIFICIAL INTELLIGENCE AND BIG DATA IN TECHNOLOGY TRENDS
technologies of big data and the data warehouse will help the organization to keep a
track of the customer’s data.
Thus, the above essay describes the two technological trends in the informational
technology sector that is artificial technology and the big data technology. The
implementation of these technologies enhances the efficiency of the businesses as well as of
the society.

8ARTIFICIAL INTELLIGENCE AND BIG DATA IN TECHNOLOGY TRENDS
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