Towards AI-Driven Enterprises: Economic and Technical Changes in Modern Business Environments

The introduction of artificial intelligence (AI) has transformed the face of a traditional modern business environment and is welcoming a new era by establishing economic as well as other technical changes. This paper aims to take a comprehensive look through the application of AI in businesses leaning over its implications. The study explained how AI technologies were reforming business processes and decision making paradigms in various sectors, fast-tracking innovation. In this paper, we begin by examining the economic impacts of AI adoption. This highlights the fact AI enhances productivity, thus resulting in more savings and consequently aiding reduction cost/furtherance of profit margins. This also proves how this new technology has disrupted the existing business models where it does correspond to automation on routine AI work and data based intelligent insights creation. This underscores the changing labor market - many roles are being eliminated and new ones demand more sophisticated technical skills. This has huge implications for the current international division of labour, as seen in terms of regulation and competition at a global level. Strictly technically, this is about how AI can be embedded into business processes - the paper itself. The analytics comprising machine learning algorithms, natural language processing and predictive analytics help organizations to enhance their end-to-end customer experience management operations.

Authors

Institutions

Publication Details

Published
2024-11-23
DOI
https://doi.org/10.1109/icicat62666.2024.10923372
Citations
2
Primary Topic
Digital Transformation in Industry
Type
article
Field-Weighted Citation Impact
0.70
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Towards AI-Driven Enterprises: Economic and Technical Changes in Modern Business Environments

Haitham Obaid Abd Alzahrh
2 citations
Digital Transformation in Industry
0.70
article

Towards AI-Driven Enterprises: Economic and Technical Changes in Modern Business Environments

Haitham Obaid Abd Alzahrh
article en
2 citations

Abstract

The introduction of artificial intelligence (AI) has transformed the face of a traditional modern business environment and is welcoming a new era by establishing economic as well as other technical changes. This paper aims to take a comprehensive look through the application of AI in businesses leaning over its implications. The study explained how AI technologies were reforming business processes and decision making paradigms in various sectors, fast-tracking innovation. In this paper, we begin by examining the economic impacts of AI adoption. This highlights the fact AI enhances productivity, thus resulting in more savings and consequently aiding reduction cost/furtherance of profit margins. This also proves how this new technology has disrupted the existing business models where it does correspond to automation on routine AI work and data based intelligent insights creation. This underscores the changing labor market - many roles are being eliminated and new ones demand more sophisticated technical skills. This has huge implications for the current international division of labour, as seen in terms of regulation and competition at a global level. Strictly technically, this is about how AI can be embedded into business processes - the paper itself. The analytics comprising machine learning algorithms, natural language processing and predictive analytics help organizations to enhance their end-to-end customer experience management operations.

University of Babylon (IQ)
Decent work and economic growth
Openalex Percentile: Top 23%
Digital Transformation in Industry
0.70
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.