The Role of Artificial Intelligence in Business: Navigating the Potential and Pitfalls of a Data-Centric Environment

Artificial Intelligence (AI) is becoming an integral part of both business operations and our daily lives. From education and healthcare to marketing, tourism, and finance, the use of AI has expanded rapidly across industries. Many businesses using AI are seeing improved productivity, but they’re also facing growing risks—especially when it comes to how AI is implemented. At the heart of this issue is data: most AI systems rely heavily on market-sourced information, much of which includes sensitive customer data. This makes the responsible and secure use of data more important than ever. This paper explores how AI technologies intersect with key concerns like data protection and customer privacy. By reviewing existing research, the study highlights the promises AI holds for businesses operating in data-driven environments, as well as the challenges that come with it.

Institutions

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-03-30
DOI
https://doi.org/10.5281/zenodo.15704090
Primary Topic
Lepidoptera: Biology and Taxonomy
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

The Role of Artificial Intelligence in Business: Navigating the Potential and Pitfalls of a Data-Centric Environment

Zenodo (CERN European Organization for Nuclear Research)
Lepidoptera: Biology and Taxonomy
article

The Role of Artificial Intelligence in Business: Navigating the Potential and Pitfalls of a Data-Centric Environment

article en

Abstract

Artificial Intelligence (AI) is becoming an integral part of both business operations and our daily lives. From education and healthcare to marketing, tourism, and finance, the use of AI has expanded rapidly across industries. Many businesses using AI are seeing improved productivity, but they’re also facing growing risks—especially when it comes to how AI is implemented. At the heart of this issue is data: most AI systems rely heavily on market-sourced information, much of which includes sensitive customer data. This makes the responsible and secure use of data more important than ever. This paper explores how AI technologies intersect with key concerns like data protection and customer privacy. By reviewing existing research, the study highlights the promises AI holds for businesses operating in data-driven environments, as well as the challenges that come with it.

Zenodo (CERN European Organization for Nuclear Research)
The World Academy of Sciences (IT), Mahsa University (MY), Bharati Vidyapeeth (Deemed to be University) (IN)
Decent work and economic growth
Openalex Percentile: Top 52%
Lepidoptera: Biology and Taxonomy
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.