2022
DOI: 10.37256/ccds.4120231653
|View full text |Cite
|
Sign up to set email alerts
|

An Overview of Trends in Information Systems: Emerging Technologies that Transform the Information Technology Industry

Abstract: Technology is mainly characterized by being changed rapidly. In other words, it is recognized as the ever-changing playing field. Those who aim to stay in the technology field need to quickly get adapted to such constant changes in this field. Due to the high pace of information technology advances, it is required to identify and implement appropriate technologies by which the organizations can effectively stay and compete in the business through the accurate and real-time efficiency delivered by such technolo… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1
1

Citation Types

0
5
0

Year Published

2023
2023
2024
2024

Publication Types

Select...
9
1

Relationship

0
10

Authors

Journals

citations
Cited by 23 publications
(5 citation statements)
references
References 55 publications
0
5
0
Order By: Relevance
“…AI is a subfield of computer science that incorporates a wide range of computational operations, from algorithmic production to machine learning and deep learning methods [29]. Traditional AI problem-solving methods are based on if-then rules, whereas machine learning and deep learning seek to iteratively evolve comprehension of a data set without explicitly coding any rules [30,31]. This permits the computing system on which they are implemented to automatically acquire knowledge and develop predictions beginning with a set of input data, adjusting the parameters by optimizing the performance standard defined on the data and decreasing the error rate at every phase of the learning process [32].…”
Section: Overview Of Machine Learningmentioning
confidence: 99%
“…AI is a subfield of computer science that incorporates a wide range of computational operations, from algorithmic production to machine learning and deep learning methods [29]. Traditional AI problem-solving methods are based on if-then rules, whereas machine learning and deep learning seek to iteratively evolve comprehension of a data set without explicitly coding any rules [30,31]. This permits the computing system on which they are implemented to automatically acquire knowledge and develop predictions beginning with a set of input data, adjusting the parameters by optimizing the performance standard defined on the data and decreasing the error rate at every phase of the learning process [32].…”
Section: Overview Of Machine Learningmentioning
confidence: 99%
“…In the age of digital transformation, organizations recognize the value and significance of making the right decisions at the right time, which is only possible by relying on the relevant and timely accessibility of information and data that are processed as a component of the decision-making process [27] . The process of making choices is supported at all organizational levels by data that can be meaningfully processed [28] . The sequence of visualizing, processing, and accumulating big data can assist an organization's management function in making informed decisions regarding the operations and approach of the organization.…”
Section: Decision Makingmentioning
confidence: 99%
“…The IT industry has witnessed significant changes throughout its history, with different countries coming to the forefront at different periods [4]. Additionally, the industry has seen a mixture of persistence and change, with computing machines transitioning from mainframes to smartphones, the growing role of software and services, and the shift in IT-hardware production from West to East [5].…”
Section: Introductionmentioning
confidence: 99%