This paper evaluates the prospects of artificial intelligence across different industries and apparent progress and/or developments observed as of the year 2024. To these models, fine-tuning techniques and open-source datasets are added, thus giving way to the development of multimodal AI and mini-language models. The advancement in AI has made it almost a household name given that it is used in smart home structures, the educational systems with learning management systems and recommendatory systems in our daily lives. AI has several uses mainly in industries whereby it helps in effectiveness, customer experience customization, and optimization of tasks. In e-commerce, the AI application is for building recommendation engine and chatbot which increases customer satisfaction and sales. The utilization of AI is an advantage to the education sector since specific learning content is facilitated and administrative desk work is enhanced. Lifestyle apps include smart personal assistant and smart home, while business apply AI in analyzing data for marketing segment, customizing messaging and optimizing marketing campaign. Most of the social media platforms incorporate the use AI for data analysis, user tracking and management, and content moderation. In finance, one gets help from AI in investments and handling of risks. Other categories include autonomous vehicles, e-mail sorting and identifying objects or people, and home help appliances.

1.
A.
Van Looy
, “
Artificial Intelligence
”, Jan.
2024
, doi: . Journal Article IEEE
2.
Artificial Intelligence, Jan.
2022
, doi: . Journal Article IEEE
3.
Artificial Intelligence, Jul.
2024
, doi: . Journal Article IEEE
4.
N.
Trivedi
, “
Artificial Intelligence
”, vol.
11
, no.
9
, Sep.
2023
, doi: . Journal Article IEEE
5.
G.
Kumar
, “
Web Application Testing Challenges
”, vol.
9
, no.
3
, Jan.
2018
, doi: .
6.
D.
Ratnayake
, “
Artificial Intelligence
”, vol.
65
, no.
4
, Nov.
2023
, doi: ., Journal Article IEEE
7.
J.
Smit
, “
Artificial intelligence
”, Jun.
2022
, doi: https://doi.org/10.5281/zenodo.7654529. Journal Article IEEE
8.
L.
Floridi
, “
Artificial artificial intelligence
”, vol.
64
, no.
64
, Nov.
2014
, doi: . Journal Article IEEE
9.
P. M.
Parikh
, “
Artificial Intelligence: ChatGPT to Artificial Intelligence Washing
”, vol.
8
, no.
1, Apr
.
2024
, doi: . Journal Article IEEE
10.
J. M.
Puaschunder
, “
Artificial Intelligence Ethik (Artificial Intelligence Ethics)
”, Mar.
2018
, doi: .
11.
E.
Kambur
, “
Emotional Intelligence or Artificial Intelligence?: Emotional Artificial Intelligence
”, vol.
7
, no.
2
, Jan.
2015
, doi: . Journal Article IEEE
12.
E.
Altulaihan
,
A.
Alismail
and
M.
Frikha
, “
A Survey on Web Application Penetration Testing
”, vol.
12
, no.
5
, Mar.
2023
, doi: . Journal Article IEEE
13.
B.
Qehaja
,
G.
Krasniqi
,
A.
Bajraliu
and
A.
Shabani
, “
Web application penetration testing”, Oct.
2016
, doi: .
14.
G.
Kumar
, “
Web Application Testing Challenges
”, vol.
9
, no.
3
, Jan.
2018
, doi: .
15.
B.
Qehaja
,
G.
Krasniqi
,
A.
Bajraliu
and
A.
Shabani
, “
Web application penetration testing
”, Oct.
2016
, doi: . Journal Article IEEE
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