Log in

Relevant bibliographies by topics / AI-driven business solutions / Journal articles

To see the other types of publications on this topic, follow the link: AI-driven business solutions.

Journal articles on the topic 'AI-driven business solutions'

Author: Grafiati

Published: 7 June 2025

Last updated: 2 August 2025

Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles

Select a source type:

Consult the top 50 journal articles for your research on the topic 'AI-driven business solutions.'

Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.

You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.

Browse journal articles on a wide variety of disciplines and organise your bibliography correctly.

1

Charllo, Bala Vignesh. "AI and the new era of business intelligence: Insights that drive growth." International Journal of Multidisciplinary Research and Growth Evaluation 6, no. 1 (2025): 2126–30. https://doi.org/10.54660/.ijmrge.2025.5.1.2126-2130.

Full text

Abstract:

The convergence of Artificial Intelligence (AI) and Business Intelligence (BI) heralds a transformative era in data-driven decision-making. While traditional BI focused on descriptive analytics and historical reporting, AI-driven BI extends capabilities to predictive analytics, real-time insights, and autonomous recommendation systems. This article examines how AI enriches BI processes, enabling organizations to glean deeper, more actionable insights that propel business growth. Core AI technologies such as machine learning, natural language processing (NLP), and explainable AI empower stakeho

APA, Harvard, Vancouver, ISO, and other styles

2

Tairov, Iskren, Nadezhda Stefanova, Aleksandrina Aleksandrova, and Martin Aleksandrov. "Review of AI-Driven Solutions in Business Value and Operational Efficiency." Economics Ecology Socium 8, no. 3 (2024): 55–66. http://dx.doi.org/10.61954/2616-7107/2024.8.3-5.

Full text

Abstract:

Introduction. Artificial intelligence (AI) refers to a wide spectrum of breakthroughs that offer multiple advantages to companies in terms of increased sales. Considering the abundance of data and the significant increase in computational resources, organisations have rapidly turned to artificial intelligence (AI) to create financial benefits. Nevertheless, businesses continue to discover it is challenging to implement and employ AI in their everyday activities. Therefore, a comprehensive understanding is required due to the absence of an integrated comprehension of how artificial intelligence

APA, Harvard, Vancouver, ISO, and other styles

3

Yusuf Onifade, Abiodun, Jeffrey Chidera Ogeawuchi, and Abraham Ayodeji Abayomi. "Scaling AI-Driven Sales Analytics for Predicting Consumer Behavior and Enhancing Data-Driven Business Decisions." International Journal of Advanced Multidisciplinary Research and Studies 4, no. 6 (2024): 2181–201. https://doi.org/10.62225/2583049x.2025.5.3.4269.

Full text

Abstract:

The rapid advancement of artificial intelligence (AI) has transformed sales analytics, enabling businesses to predict consumer behavior with unprecedented accuracy. AI-driven sales analytics leverages machine learning, natural language processing (NLP), and predictive modeling to extract actionable insights from vast datasets, enhancing decision-making and driving revenue growth. This study explores strategies for scaling AI-driven sales analytics, focusing on key challenges, technological innovations, and the impact on data-driven business decisions. The research highlights how AI-powered mod

APA, Harvard, Vancouver, ISO, and other styles

4

Yusuf Onifade, Abiodun, Jeffrey Chidera Ogeawuchi, and Abraham Ayodeji Abayomi. "Scaling AI-Driven Sales Analytics for Predicting Consumer Behavior and Enhancing Data-Driven Business Decisions." International Journal of Advanced Multidisciplinary Research and Studies 4, no. 6 (2024): 2181–201. https://doi.org/10.62225/2583049x.2024.4.6.4269.

Full text

Abstract:

The rapid advancement of artificial intelligence (AI) has transformed sales analytics, enabling businesses to predict consumer behavior with unprecedented accuracy. AI-driven sales analytics leverages machine learning, natural language processing (NLP), and predictive modeling to extract actionable insights from vast datasets, enhancing decision-making and driving revenue growth. This study explores strategies for scaling AI-driven sales analytics, focusing on key challenges, technological innovations, and the impact on data-driven business decisions. The research highlights how AI-powered mod

APA, Harvard, Vancouver, ISO, and other styles

5

Asha, Ayesha Islam, MD Sheam Arafat, Kirtibhai Desai, Mir Abrar Hossain, and Sharmin Akter. "The Role of Blockchain and AI in Revolutionizing Electronic Health Records: A Business-Driven Approach to Data Security and Interoperability." International Interdisciplinary Business Economics Advancement Journal 06, no. 05 (2025): 08–38. https://doi.org/10.55640/business/volume06issue05-02.

Full text

Abstract:

Advanced technological solutions need to address critical data security problems and interoperability issues that emerge from EHR systems developing in complexity. This document evaluates the combination of Blockchain technology and Artificial Intelligence tools for EHR system transformation from a business analytical standpoint. Blockchain technology maintains a secure environment through its indestructible record system and distributed computing framework that locks out breaches and unlawful data modifications thus meeting healthcare requirements of HIPAA and GDPR. AI-driven predictive analy

APA, Harvard, Vancouver, ISO, and other styles

6

Hossain, Mir Abrar, MD Sheam Arafat, Kirtibhai Desai, Sharmin Akter, and Ayesha Islam Asha. "The Economic Impact of AI-Driven Remote Patient Monitoring: A Business Intelligence Perspective on Healthcare Cost Optimization." International Interdisciplinary Business Economics Advancement Journal 06, no. 05 (2025): 39–67. https://doi.org/10.55640/business/volume06issue05-03.

Full text

Abstract:

Healthcare cost optimization has improved through the implementation of Artificial Intelligence in remote patient monitoring because it increases operational efficiency and predictive analytics and allows immediate patient care management. This paper examines AI-powered RPM's economic value by showing its capacity to decrease hospital admissions together with reducing healthcare expenses while directing resources effectively. Business intelligence tools with AI help RPM systems create predictive intervention strategies for better patient results without affecting operational costs. This resear

APA, Harvard, Vancouver, ISO, and other styles

7

Calvo, Jorge. "High-Tech Start-Ups in Japan: Cogent Labs, AI-OCR Solutions for Automated Business Process Outsourcing." International Journal of Entrepreneurial Knowledge 6, no. 2 (2018): 12–31. http://dx.doi.org/10.2478/ijek-2018-0011.

Full text

Abstract:

Abstract This business research case introduces Cogent Labs, a Japanese high-tech start-up that provides AI-driven technologies, is making the critical transition from an entrepreneur-driven to a mature management-run organization, the company’s business context and technology development. That requires to harmonize the entrepreneurial and managerial capacity, by a collaborative approach integrating cross-functional product teams. The high-tech start-up has demonstrated ability to overcome the transitional stage of the first entrepreneurship to stability and sustainability through the manageme

APA, Harvard, Vancouver, ISO, and other styles

8

Arif, Md, Md Parvez Ahmed, Abdullah Al Mamun, et al. "DYNAMIC PRICING IN FINANCIAL TECHNOLOGY: EVALUATING MACHINE LEARNING SOLUTIONS FOR MARKET ADAPTABILITY." International Interdisciplinary Business Economics Advancement Journal 05, no. 10 (2024): 13–27. http://dx.doi.org/10.55640/business/volume05issue10-03.

Full text

Abstract:

The rapid advancement of technology has transformed the financial services sector, leading to the rise of fintech companies that leverage cutting-edge tools such as artificial intelligence (AI) and machine learning (ML) to offer innovative solutions. One area where fintech is particularly impactful is dynamic pricing, which involves adjusting prices in real-time based on market conditions, user behavior, and external factors. The ability to optimize pricing in response to fluctuating conditions is critical for maximizing profitability, improving customer satisfaction, and maintaining competiti

APA, Harvard, Vancouver, ISO, and other styles

9

Researcher. "HOW AI IMPROVES DATA QUALITY FOR BETTER BUSINESS INSIGHTS." International Journal of Computer Engineering and Technology (IJCET) 15, no. 6 (2024): 590–601. https://doi.org/10.5281/zenodo.14197959.

Full text

Abstract:

In today's rapidly evolving digital landscape, organizations face unprecedented challenges in managing and maintaining data quality across their enterprise systems. This comprehensive article explores how Artificial Intelligence (AI) revolutionizes data quality management, offering sophisticated data cleaning, validation, and enrichment solutions. The article examines the current state of data quality challenges, presents AI-powered solutions, and demonstrates their impact through real-world applications in the financial services and manufacturing sectors. Through detailed case studies and ind

APA, Harvard, Vancouver, ISO, and other styles

10

Aladebumoye, Tolulope. "Integrating AI-Driven Tax Technology into Business Strategy." International Journal of Research and Review 12, no. 1 (2025): 224–31. https://doi.org/10.52403/ijrr.20250128.

Full text

Abstract:

The integration of Artificial Intelligence (AI) into tax technology presents transformative potential for enhancing business strategies by significantly improving efficiency, accuracy, and compliance. This paper delves into these advancements and critically evaluates their strategic implications across various sectors, providing a thorough analysis of how AI-driven innovations are reshaping tax practices. It highlights the dual role of AI in not only simplifying and automating complex tax operations but also in enabling businesses to navigate the increasingly complex maze of global tax regulat

APA, Harvard, Vancouver, ISO, and other styles

11

Kolawole Joseph Ajiboye. "Ethical challenges in AI-Driven automation: A case study of power platform solutions." International Journal of Science and Research Archive 10, no. 1 (2023): 1160–74. https://doi.org/10.30574/ijsra.2023.10.1.0845.

Full text

Abstract:

Incorporating AI automated systems through the Microsoft Power Platform has transformed business operations by advancing organizational performance and better decision-making throughout multiple business sectors. Fast AI deployment methods bring important moral problems, ranging from biased AI systems to unclear systems, personal data threats, and workforce replacement issues. This research identifies ethical problems by analyzing concrete AI automation situations that show the hazards during Power Platform deployment. The paper presents proven practices and necessary policies to control these

APA, Harvard, Vancouver, ISO, and other styles

12

Garbuio, Massimo, and Nidthida Lin. "Artificial Intelligence as a Growth Engine for Health Care Startups: Emerging Business Models." California Management Review 61, no. 2 (2018): 59–83. http://dx.doi.org/10.1177/0008125618811931.

Full text

Abstract:

The future of health care may change dramatically as entrepreneurs offer solutions that change how we prevent, diagnose, and cure health conditions, using artificial intelligence (AI). This article provides a timely and critical analysis of AI-driven health care startups and identifies emerging business model archetypes that entrepreneurs from around the world are using to bring AI solutions to the marketplace. It identifies areas of value creation for the application of AI in health care and proposes an approach to designing business models for AI health care startups.

APA, Harvard, Vancouver, ISO, and other styles

13

Eido, Warveen Merza, and Subhi R. M. Zeebaree. "Smarter Marketing with AI: How Cloud Technology is Changing Business." Asian Journal of Research in Computer Science 18, no. 4 (2025): 331–59. https://doi.org/10.9734/ajrcos/2025/v18i4623.

Full text

Abstract:

The integration of Artificial Intelligence (AI) and cloud computing has revolutionized enterprise systems, particularly in predictive marketing. AI-powered enterprise solutions enable businesses to analyze vast amounts of data in real-time, enhancing decision-making, customer engagement, and operational efficiency. Predictive analytics allows companies to anticipate consumer behavior, refine marketing strategies, and optimize customer interactions. Cloud computing further supports AI-driven predictive marketing by providing scalable and cost-effective solutions that enhance data processing cap

APA, Harvard, Vancouver, ISO, and other styles

14

Ali Bakeer. "Exploring AI-driven solutions for Libyan agriculture: Current applications and strategic pathways." World Journal of Advanced Research and Reviews 24, no. 1 (2024): 1344–49. http://dx.doi.org/10.30574/wjarr.2024.24.1.3144.

Full text

Abstract:

This paper aims to investigate the usability of AI in the agriculture sector for Libyan business development. The study employs an online survey with an interview with an expert to gather insights from participants operating in the agriculture sector in Libya. The survey comprises a set of questions covering various aspects related to AI adoption in agriculture business development. The collected data helped to assess the current utilization of AI technologies, identify potential areas of improvement, and explore the perceptions and expectations regarding AI's future role in Libyan agriculture

APA, Harvard, Vancouver, ISO, and other styles

15

Ali, Bakeer. "Exploring AI-driven solutions for Libyan agriculture: Current applications and strategic pathways." World Journal of Advanced Research and Reviews 24, no. 1 (2024): 1344–49. https://doi.org/10.5281/zenodo.15031753.

Full text

Abstract:

This paper aims to investigate the usability of AI in the agriculture sector for Libyan business development. The study employs an online survey with an interview with an expert to gather insights from participants operating in the agriculture sector in Libya. The survey comprises a set of questions covering various aspects related to AI adoption in agriculture business development. The collected data helped to assess the current utilization of AI technologies, identify potential areas of improvement, and explore the perceptions and expectations regarding AI's future role in Libyan agriculture

APA, Harvard, Vancouver, ISO, and other styles

16

Varghese, Aleena. "AI-Driven Solutions for Energy Optimization and Environmental Conservation in Digital Business Environments." Asia Pacific Journal of Energy and Environment 9, no. 1 (2022): 49–60. http://dx.doi.org/10.18034/apjee.v9i1.736.

Full text

Abstract:

The potential of AI-driven solutions for environmental preservation and energy optimization in digital business settings is examined in this paper. The main goals were to investigate how AI technologies may support sustainability, identify major obstacles and opportunities, and evaluate the policy implications for implementation. The approach thoroughly examined the literature, including research articles and case studies, to assess AI's uses in energy optimization and environmental preservation. The main conclusions show how AI technologies can revolutionize energy optimization by enabling in

APA, Harvard, Vancouver, ISO, and other styles

17

Ravindar, Reddy Gopireddy, and Malik Bushra. "Artificial Intelligence, Security, and Business Analytics: A Convergence for Cyber Defense and Risk Mitigation." European Journal of Advances in Engineering and Technology 8, no. 12 (2021): 18–22. https://doi.org/10.5281/zenodo.15075069.

Full text

Abstract:

The growing complexity of cyber threats in financial and governmental sectors has necessitated the integration of Artificial Intelligence (AI) with cybersecurity and business analytics. AI-driven security solutions enhance threat detection, automate responses, and provide predictive insights that enable proactive risk management. Business analytics, powered by AI, is revolutionizing cybersecurity frameworks by offering data-driven decision-making models that enhance security postures. This research explores the role of AI in cybersecurity, its applications in fraud detection, risk assessment,

APA, Harvard, Vancouver, ISO, and other styles

18

Juanda, Juanda, Reza Juang Riansyah, Arsadi Arsadi, and Laurens Bethany. "Towards Entrepreneurial Campus Sustainability: Integrating Artificial Intelligence for Resource Allocation in Business Management." Aptisi Transactions on Technopreneurship (ATT) 6, no. 3 (2024): 314–23. http://dx.doi.org/10.34306/att.v6i3.410.

Full text

Abstract:

This research delves into the utilization of artificial intelligence (AI) within the framework of campus resource allocation, with a primary focus on enhancing business management practices and fostering entrepreneurial sustainability within educational institutions. Through an innovative amalgamation of AI technology and SmartPLS methodology, the study constructs a comprehensive analytical framework aimed at tackling the multifaceted challenges inherent in resource allocation within campus environments. The findings underscore the transformative potential of AI integration in optimizing resou

APA, Harvard, Vancouver, ISO, and other styles

19

Snigdha, Esrat Zahan, MD Nadil khan, Kirtibhai Desai, Mohammad Majharul Islam, MD Mahbub Rabbani, and Saif Ahmad. "AI-Driven Customer Insights in IT Services: A Framework for Personalization and Scalable Solutions." American Journal of Engineering and Technology 07, no. 03 (2025): 35–39. https://doi.org/10.37547/tajet/volume07issue03-04.

Full text

Abstract:

New developments in Artificial Intelligence (AI) in IT services have drastically altered how companies use customer insights to supply personalized and scalable responses to a wide variety of client necessities. The focus of this study consists in the use of AI tools and algorithms in customer data analysis, but also in the sense that they are useful for providing targeted and efficient IT service solutions. The findings are robust because a mixed-methods approach was employed, using qualitative analysis of case studies and quantitative evaluations of service outcomes. The results show that ad

APA, Harvard, Vancouver, ISO, and other styles

20

Bheemarpu, Naga Sai Uday Kiran. "Agentforce 2.0: Transforming Business Processes Through AI-Driven Automation." European Journal of Computer Science and Information Technology 13, no. 30 (2025): 67–77. https://doi.org/10.37745/ejcsit.2013/vol13n306777.

Full text

Abstract:

This article examines Agentforce 2.0, Salesforce's advanced AI-driven automation platform that transcends conventional automation capabilities by integrating natural language processing and dynamic decision-making algorithms. The platform represents a fundamental paradigm shift in business process architecture, enabling organizations to reimagine core functions through contextually-aware intelligent agents capable of managing complex, multi-stage processes with minimal human intervention. The technological framework combines sophisticated multi-tiered infrastructure with fifth-generation enter

APA, Harvard, Vancouver, ISO, and other styles

21

Maud Avevor, Gallas Tugil Attionu, Deborah Osahor, Tony Azonuche, and Obah Tawo. "Beyond funding: rethinking small business administration strategies and public-private partnerships for minority-owned business resilience (AI, FinTech, and Policy Synergy)." World Journal of Advanced Research and Reviews 19, no. 3 (2023): 1677–91. https://doi.org/10.30574/wjarr.2023.19.3.1748.

Full text

Abstract:

The resilience of minority-owned businesses has been a persistent challenge, exacerbated by systemic barriers that limit access to capital, resources, and market opportunities. While funding remains a critical support mechanism, it is not sufficient by itself to address the multifaceted issues faced by these businesses. This research explores how the Small Business Administration (SBA), in collaboration with Public-Private Partnerships (PPPs), can strategically integrate Artificial Intelligence (AI), Financial Technology (FinTech), and adaptive regulatory policy innovation to foster sustainabl

APA, Harvard, Vancouver, ISO, and other styles

22

Tripathi, Ritik. "Enhancing Business Intelligence with AI and Machine Learning: Trends and Future Directions." INTERNATIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 06 (2025): 1–9. https://doi.org/10.55041/ijsrem50264.

Full text

Abstract:

Abstract As the global economy becomes increasingly data-driven, organizations are integrating Artificial Intelligence (AI) and Machine Learning (ML) into Business Intelligence (BI) systems to gain real-time, actionable insights. This paper investigates the transformative role of AI and ML in modern BI by analyzing current industry practices, challenges, and future trajectories. Using a mixed-methods approach, including a survey of 100 professionals and interviews with BI experts, the study reveals that AI significantly enhances decision-making, forecasting, and operational efficiency. However

APA, Harvard, Vancouver, ISO, and other styles

23

mamun, Abdullah al, Muhammad Saqib Jalil, Mohammad Tonmoy Jubaear Mehedy, et al. "Optimizing Revenue Cycle Management in Healthcare: AI and IT Solutions for Business Process Automation." American Journal of Engineering and Technology 07, no. 03 (2025): 141–62. https://doi.org/10.37547/tajet/volume07issue03-14.

Full text

Abstract:

Revenue Cycle Management (RCM) stands as an essential healthcare financial element since it manages efficient claim handling combined with payment receipt processes that optimize organizational profits. The conventional RCM operational model suffers from multiple difficulties including inefficiencies, administrative burdens and regular billing mistakes that eventually generate revenue loss and operational delays. This paper investigates the potential of IT and AI solutions to transform RCM operations by streamlining procedures and boosting financial projection quality as well as improving clai

APA, Harvard, Vancouver, ISO, and other styles

24

Kommera, Adisheshu Reddy. "Harnessing the Power of AI in Salesforce: An Empirical Study on Enhanced Data Insights and Organizational Efficiency." International Journal for Research in Applied Science and Engineering Technology 12, no. 9 (2024): 288–94. http://dx.doi.org/10.22214/ijraset.2024.64174.

Full text

Abstract:

Abstract: This article examines the integration of Artificial Intelligence (AI) in Salesforce platforms to enhance business analytics and decision-making processes. We explore how AI-powered solutions are revolutionizing data analysis, providing organizations with actionable insights, and improving market responsiveness. The article investigates key AI techniques implemented in Salesforce, including machine learning algorithms for pattern recognition and natural language processing for unstructured data analysis. We analyze the impact of these technologies on identifying trends, forecasting, t

APA, Harvard, Vancouver, ISO, and other styles

25

Erwin Ernestus Kadar Slamet and Tiur Ayya Zakiyah. "AI-Driven Marketing Solutions For Ethical Product Branding In MSMES." Lokawati : Jurnal Penelitian Manajemen dan Inovasi Riset 1, no. 4 (2023): 269–79. http://dx.doi.org/10.61132/lokawati.v1i4.855.

Full text

Abstract:

This research aims to explore the efficacy of AI-driven marketing solutions in facilitating ethical product branding within Micro, Small, and Medium Enterprises (MSMEs). The research adopts a descriptive model, employing purposive sampling to gather data from a diverse range of MSMEs engaged in ethical product branding practices. Data analysis utilizes thematic analysis to identify patterns and insights from qualitative data. The study aims to unveil the impact of AI-driven marketing strategies on enhancing sustainability and ethical branding efforts among MSMEs. Results are expected to shed l

APA, Harvard, Vancouver, ISO, and other styles

26

Peram, Pranav. "Strategic Utilization of Artificial Intelligence for Entrepreneurial Competitive Advantage in the Digital Age." International Journal of Social Science and Economic Research 10, no. 05 (2025): 1807–16. https://doi.org/10.46609/ijsser.2025.v10i05.025.

Full text

Abstract:

This study explores how small business owners perceive and approach artificial intelligence (AI) in their everyday operations. Although AI is often associated with large corporations and technology-driven industries, it is increasingly becoming relevant for smaller businesses. To understand this shift, interviews were conducted with six business owners across various sectors. The aim was to identify current usage, challenges faced, and potential solutions related to AI adoption. A thematic analysis revealed four primary themes: interest in AI-driven innovation, the desire for operational effic

APA, Harvard, Vancouver, ISO, and other styles

27

Yaman Tandon. "AI-powered data products: The key to unlocking business value from enterprise data." World Journal of Advanced Research and Reviews 26, no. 2 (2025): 4244–52. https://doi.org/10.30574/wjarr.2025.26.2.2083.

Full text

Abstract:

The digital transformation landscape continues evolving rapidly as enterprises shift toward cloud infrastructure and AI-driven solutions, necessitating fundamental changes in data management approaches. Traditional methods characterized by centralized warehouses, static reporting, and periodic analytics no longer meet the demands for real-time insights and automated decision-making capabilities essential in contemporary business environments. AI-powered data products represent a transformative evolution in enterprise data strategy, encapsulating analytics and intelligence within self-contained

APA, Harvard, Vancouver, ISO, and other styles

28

Ilango, Kessavane. "The Evolution of SaaS-Based HR Solutions : A Study of Workday's Impact on Business Operations." INTERNATIONAL JOURNAL OF INNOVATIVE RESEARCH AND CREATIVE TECHNOLOGY 11, no. 1 (2025): 1–6. https://doi.org/10.5281/zenodo.15087501.

Full text

Abstract:

Due to the arrival of SaaS-based HR solutions, businesses have significantly changed the way in which they manage their workforce. It is totally different compared to the traditional HR practices which were lengthy and time-consuming. This comprehensive study explores the development of SaaS-based HR solutions and explains about the role of Workday in transforming business operations. It offers insights into AI-driven HR automation tools, discusses challenges related to these solutions, and highlights future trends. Specifically, it explores Workday which has incorporated Al and ML into its HR

APA, Harvard, Vancouver, ISO, and other styles

29

Sreenu, Maddipudi. "AI in SAP -SAP transforms Joule with collaborative AI agents to drive business innovation." International Journal of Innovative Research in Engineering & Multidisciplinary Physical Sciences 12, no. 4 (2024): 1–7. https://doi.org/10.5281/zenodo.14280092.

Full text

Abstract:

The integration of Artificial Intelligence (AI) in SAP, particularly in transforming Joule with collaborative AI agents, represents a breakthrough in the digital transformation journey for businesses. This paper examines the role of AI in driving business innovation by enhancing the functionality of SAP systems through the introduction of AI-powered agents that foster collaboration, optimize business processes, and enhance decision-making. Through a review of case studies, technical frameworks, and best practices, the paper explores how AI agents can revolutionize enterprise resource planning

APA, Harvard, Vancouver, ISO, and other styles

30

Prasenjit Chakrabarty. "Cross-Disciplinary Collaboration: Bridging Management and Computer Engineering for Innovation." Journal of Information Systems Engineering and Management 10, no. 3 (2025): 1764–75. https://doi.org/10.52783/jisem.v10i3.8397.

Full text

Abstract:

Background: The integration of management and computer engineering has become a crucial driver of AI innovation, allowing organizations to bridge technical expertise with strategic leadership for sustained technological advancements. Effective interdisciplinary collaboration enhances AI adoption by aligning engineering-driven developments with business objectives and regulatory frameworks. Objectives: This study examines AI-driven interdisciplinary collaboration through three case studies: Google, Tesla, and Singapore’s Smart Nation Initiative. It investigates how corporate, industry-led, and

APA, Harvard, Vancouver, ISO, and other styles

31

Kubiczek, Jakub, Elżbieta Roszko-Wójtowicz, Julianna Koczy, Izabela Waszkiewicz, and Klaudia Woś. "Harnessing AI for business transformation: strategies for effective implementation and market advantage." Statistics in Transition new series 26, no. 2 (2025): 199–213. https://doi.org/10.59139/stattrans-2025-022.

Full text

Abstract:

The rapid digitalization of consumer behavior presents businesses with unprecedented opportunities and challenges. Artificial Intelligence (AI) has emerged as a key driver of efficiency, enabling companies to analyze vast amounts of consumer data, personalize experiences and enhance decision-making processes. The paper aims to examine how AI-driven tools contribute to business transformation, focusing on their impact on operational efficiency, customer engagement and market competitiveness. The research employs a multi-method approach, including literature reviews, secondary data analysis and

APA, Harvard, Vancouver, ISO, and other styles

32

Feng, Tong, and Qinglun Li. "Artificial Intelligence in Education Management: Opportunities, Challenges, and Solutions." Frontiers in Business, Economics and Management 16, no. 3 (2024): 49–54. http://dx.doi.org/10.54097/raxsbp45.

Full text

Abstract:

Education management, as an integral part of management science, encompasses core functions such as organizing, planning, coordinating, and controlling educational resources, which closely align with the management concepts used in business administration. Whether in the field of education or business, managers need to improve organizational performance through effective strategy development, resource allocation, and decision-making support. The emergence of Artificial Intelligence (AI) has profoundly transformed several industries, and its impact on education is progressively gaining prominen

APA, Harvard, Vancouver, ISO, and other styles

33

Onyeka Chrisanctus Ofodile, Adeoluwa Omoyemi Yekeen, Ngodoo Joy Sam-Bulya, and Chikezie PaulMikki Ewim. "Artificial intelligence and business models in the fourth industrial revolution." Open Access Research Journal of Multidisciplinary Studies 4, no. 1 (2022): 117–30. http://dx.doi.org/10.53022/oarjms.2022.4.1.0091.

Full text

Abstract:

The Fourth Industrial Revolution (4IR) represents a paradigm shift in technology, marked by the convergence of advanced technologies such as Artificial Intelligence (AI), the Internet of Things (IoT), and big data analytics. This revolution transforms traditional business models, fostering innovation and enhancing operational efficiency. AI plays a pivotal role in 4IR, enabling businesses to leverage data-driven insights for strategic decision-making. By automating processes and personalizing customer experiences, AI enhances productivity and competitiveness. This paper explores the impact of

APA, Harvard, Vancouver, ISO, and other styles

34

Khair, Mohammad Afghanul, Nusrat Shaheen, Mohammed Misbahul Khair, and Shalu Jain. "HCM AI Agents and Data-Driven Decision Making." International Journal of Research in Modern Engineering & Emerging Technology 13, no. 3 (2025): 36–54. https://doi.org/10.63345/ijrmeet.org.v13.i3.3.

Full text

Abstract:

In the modern enterprise landscape, Human Capital Management (HCM) is undergoing a paradigm shift, leveraging artificial intelligence (AI) agents and data-driven decision-making. AI-powered HCM solutions optimize talent acquisition, workforce planning, and employee engagement by harnessing machine learning, natural language processing, and predictive analytics. These intelligent agents enhance efficiency by automating repetitive HR tasks, such as recruitment screening, performance evaluations, and employee sentiment analysis. Furthermore, data-driven insights empower HR leaders to make strateg

APA, Harvard, Vancouver, ISO, and other styles

35

Nagaraju Velur. "Transforming Payment Security: AI-Driven Solutions for Enterprise Fraud Prevention." International Journal of Scientific Research in Computer Science, Engineering and Information Technology 11, no. 2 (2025): 944–57. https://doi.org/10.32628/cseit25112427.

Full text

Abstract:

This article examines PayPal's innovative implementation of artificial intelligence and behavioral analytics to revolutionize enterprise security and fraud prevention in digital payment systems. As a global payment platform processing millions of daily transactions across hundreds of markets, PayPal faced unique challenges balancing robust security with frictionless user experience. The article explores how PayPal transformed its security architecture from traditional rule-based systems to an intelligent, adaptive framework capable of evolving alongside emerging threats. The article details th

APA, Harvard, Vancouver, ISO, and other styles

36

Singh, Alok. "Optimizing Retail Operations with AI-Driven Data Analytics." British Journal of Marketing Studies 13, no. 3 (2025): 72–84. https://doi.org/10.37745/bjms.2013/vol13n37284.

Full text

Abstract:

This comprehensive article explores the transformative impact of artificial intelligence on retail operations, with a focus on data-driven strategies that optimize business performance. The article examines how AI technologies are revolutionizing inventory management through advanced demand forecasting and stock level optimization while enhancing customer experiences via personalized recommendations and targeted marketing initiatives. By investigating implementation methodologies, technological requirements, and potential challenges, the article provides retail executives and technology leader

APA, Harvard, Vancouver, ISO, and other styles

37

Mallikarjun Reddy Ramasani. "AI-Driven Business Intelligence and Financial Data Visualization: Transforming Modern Analytics." International Journal of Scientific Research in Computer Science, Engineering and Information Technology 11, no. 1 (2025): 3461–67. https://doi.org/10.32628/cseit251112369.

Full text

Abstract:

The convergence of Artificial Intelligence (AI) with Business Intelligence (BI) and Financial Data Visualization has fundamentally transformed how financial institutions approach data analysis and decision-making. This comprehensive article examines the evolution and impact of AI-driven technologies in financial services, focusing on advanced analytics, visualization techniques, and automated decision support systems. It explores how machine learning, deep learning, and natural language processing capabilities have enhanced financial institutions' ability to process complex data sets, detect p

APA, Harvard, Vancouver, ISO, and other styles

38

Adetumi Adewumi, Chioma Susan Nwaimo, Daniel Ajiga, Mercy Odochi Agho, and Kate Aigbaifie Iwe. "AI and data analytics for sustainability: A strategic framework for risk management in energy and business." International Journal of Science and Research Archive 8, no. 2 (2023): 767–73. https://doi.org/10.30574/ijsra.2023.8.2.0158.

Full text

Abstract:

This paper explores the integration of artificial intelligence (AI) and data analytics in promoting sustainability and enhancing risk management within the energy and business sectors. It highlights the role of AI technologies in driving energy efficiency and sustainable practices, demonstrating how predictive analytics can optimize energy usage and integrate renewable energy sources. The significance of data analytics in risk mitigation and strategic planning is discussed, showcasing its capacity to provide data-driven insights for proactive risk management. Furthermore, the paper outlines AI

APA, Harvard, Vancouver, ISO, and other styles

39

Sayed Ahammad Smarn, MD Sakibul Hasan, Sangida Jahan Ripa, Sk Md. Mahibur Rahman Cheragee, Md. Abdul Mannan Rana, and Monsurul Islam Chowdhury. "Integrating Artificial Intelligence into Business Strategy: Opportunities and Challenges." Journal of Computer Science and Technology Studies 7, no. 2 (2025): 427–35. https://doi.org/10.32996/jcsts.2025.7.2.44.

Full text

Abstract:

Artificial Intelligence (AI) has become a transformative business force, providing unparalleled opportunities for innovation, competitive advantage and efficiency. Artificial Intelligence (AI) is a technology that is here to stay and has the revolutionary potential to alter the corporate strategy landscape, so much so that it will improve the organization's competitiveness in a time of crisis. This literature explores the role of AI, particularly innovations driven by machine learning, in improving operational effectiveness and optimizing strategic decision-making, which business process manag

APA, Harvard, Vancouver, ISO, and other styles

40

Shilesh Karunakaran and Prof. (Dr) Sangeet Vashishtha. "Data Governance, Privacy and Compliance for Business Intelligence Solutions." International Journal for Research Publication and Seminar 16, no. 1 (2025): 248–64. https://doi.org/10.36676/jrps.v16.i1.134.

Full text

Abstract:

In today's data-driven business world, Business Intelligence (BI) solutions have emerged as a cornerstone of decision-making. However, the rapid growth of data and extensive use of cloud-based and AI-driven BI solutions have created massive challenges in data governance, privacy, and compliance. While these solutions are promising, there exists a crucial research gap in the understanding of how organizations can efficiently implement governance frameworks that strike a balance between data security and regulatory compliance and standards such as GDPR and CCPA. Existing literature is primarily

APA, Harvard, Vancouver, ISO, and other styles

41

Temitayo Oluwadamilola Adesoga, Courage Ojo, Omotoyosi Qazeem Obani, Kenneth hukwujekwu Nwafor, and Oladapo A. Rasul. "AI integration in business development: Ethical considerations and practical solutions." GSC Advanced Research and Reviews 20, no. 1 (2024): 376–80. http://dx.doi.org/10.30574/gscarr.2024.20.1.0282.

Full text

Abstract:

The winds of change are sweeping through the business landscape, propelled by the transformative power of artificial intelligence (AI). This integration isn't merely a technological upgrade; it's a paradigm shift, unlocking a treasure trove of opportunities for companies to achieve unprecedented growth, efficiency, and innovation. Imagine AI-powered systems that analyze vast amounts of data, identify new market opportunities, predict customer behavior with uncanny accuracy, and even automating tedious tasks associated with lead generation and qualification. This is the future that AI promises,

APA, Harvard, Vancouver, ISO, and other styles

42

Temitayo, Oluwadamilola Adesoga, Ojo Courage, Qazeem Obani Omotoyosi, Chukwujekwu Nwafor Kenneth, and A. Rasul Oladapo. "AI integration in business development: Ethical considerations and practical solutions." GSC Advanced Research and Reviews 20, no. 1 (2024): 376–80. https://doi.org/10.5281/zenodo.13684970.

Full text

Abstract:

The winds of change are sweeping through the business landscape, propelled by the transformative power of artificial intelligence (AI). This integration isn't merely a technological upgrade; it's a paradigm shift, unlocking a treasure trove of opportunities for companies to achieve unprecedented growth, efficiency, and innovation. Imagine AI-powered systems that analyze vast amounts of data, identify new market opportunities, predict customer behavior with uncanny accuracy, and even automating tedious tasks associated with lead generation and qualification. This is the future that AI promises,

APA, Harvard, Vancouver, ISO, and other styles

43

Godbless Ocran, Samuel Omokhafe Yusuf, Peprah Owusu, Enis Agyeman Boateng, Sylvester Obeng Krampah, and Adedamola Hadassah Paul-Adeleye. "AI-driven business analytics for SMES: Unlocking value through predictive and prescriptive analytic." International Journal of Science and Research Archive 13, no. 1 (2024): 3009–22. http://dx.doi.org/10.30574/ijsra.2024.13.1.2001.

Full text

Abstract:

Introduction: With an emphasis on predictive and prescriptive analytics, this study examines the revolutionary implications of AI-driven analytics on small and medium-sized organizations (SMEs). SMEs play a crucial role in the global economy and require advanced solutions to improve decision-making and operational efficiency. The research aims to explore how AI-powered analytics, particularly in predictive and prescriptive forms, can add value to SMEs by enhancing demand forecasting, customer behavior insights, and financial planning. To determine how AI-driven analytics might affect SMEs, a t

APA, Harvard, Vancouver, ISO, and other styles

44

Das, Rupali, B. Suneela, Dheeraj Akula, Swapnil Saurav, Shruti Tyagi, and D. Esther Rani. "Integrating AI-Driven Data Analytics into Healthcare Business Models: A Multi-Disciplinary Approach." Journal of Neonatal Surgery 14, no. 5S (2025): 761–73. https://doi.org/10.52783/jns.v14.2126.

Full text

Abstract:

The integration of AI-driven data analytics into healthcare business models has emerged as a transformative approach to improving patient outcomes, optimizing operational efficiency, and enhancing financial sustainability. This study investigates the impact of AI-powered predictive analytics, automation, and patient engagement strategies on key healthcare performance metrics. Our findings indicate that AI models significantly reduce patient readmission rates, with Artificial Neural Networks (ANN) achieving an accuracy of 88.1% in predicting hospital readmissions. This led to an estimated €900

APA, Harvard, Vancouver, ISO, and other styles

45

Burhan, Nahshal. "AI-DRIVEN MARKETING CHALLENGES IN ARABIC–LANGUAGE CAMPAIGNS IN MIDDLE EASTERN COUNTRIES." EKONOMIKA I UPRAVLENIE: PROBLEMY, RESHENIYA 6/2, no. 159 (2025): 108–13. https://doi.org/10.36871/ek.up.p.r.2025.06.02.011.

Full text

Abstract:

Artificial Intelligence is revolutionizing marketing across the globe, yet a vast majority of Arabic-speaking consumers are still out of reach. this article, explores a vital issue: AI marketing technology is currently struggling with Arabic campaigns. The Arabic language's inherent complexity - including its numerous dialects, cultural sensitivities - is frustrating algorithms developed primarily on English data. We identify the reasons why existing AI solutions fall short and assess the implications for marketers operating in the Middle East. The study shows how limited support for Arabic NL

APA, Harvard, Vancouver, ISO, and other styles

46

Ebule, Amejuma Emmanuel. "Business Intelligence and Artificial Intelligence for Sustainable Business Operations." International Journal of Scientific Research and Management (IJSRM) 13, no. 01 (2025): 1917–35. https://doi.org/10.18535/ijsrm/v13i01.ec05.

Full text

Abstract:

In the modern business landscape, sustainability has become a fundamental goal for organizations, driven by growing environmental concerns, social responsibility, and the need for long-term profitability (Bocken et al., 2014). Companies are under increasing pressure to reduce their environmental footprint, optimize resources, and improve operational efficiency, all while maintaining competitiveness. Business Intelligence (BI) and Artificial Intelligence (AI) have emerged as key technologies in this transition, offering organizations the ability to make data-driven decisions that promote sustai

APA, Harvard, Vancouver, ISO, and other styles

47

Shivpuja, Amit. "The Transformative Role of AI and Generative AI in Modern Data and AI Governance." European Journal of Computer Science and Information Technology 13, no. 33 (2025): 117–24. https://doi.org/10.37745/ejcsit.2013/vol13n33117124.

Full text

Abstract:

This article examines the transformative role of Artificial Intelligence (AI) and Generative AI in modernizing data and AI governance frameworks within organizations. As enterprises face mounting challenges in managing expanding data ecosystems, these technologies offer innovative solutions for enhancing governance efficiency and effectiveness. The article explores four key areas: current governance challenges, natural language interfaces, AI-powered automation, and business-centric decision support systems. Through a comprehensive analysis of recent research, this article demonstrates how AI-

APA, Harvard, Vancouver, ISO, and other styles

48

SHOHONI MAHABUB, MD RUSSEL HOSSAIN, and ESRAT ZAHAN SNIGDHA. "Data-Driven Decision-Making and Strategic Leadership: AI-Powered Business Operations for Competitive Advantage and Sustainable Growth." Journal of Computer Science and Technology Studies 7, no. 1 (2025): 326–36. https://doi.org/10.32996/jcsts.2025.7.1.24.

Full text

Abstract:

In the modern era, data-driven business world, firms are under more and more pressure to use cutting-edge technology to maintain their competitiveness and achieve long-term success. The integration of Artificial Intelligence (AI) and Machine Learning (ML) into company operations and leadership initiatives is pivotal to this transition. This research examines the influence of data-driven decision-making and strategic leadership on improving corporate performance using AI-powered solutions. This research explores the synergies between AI technology and leadership techniques, demonstrating how bu

APA, Harvard, Vancouver, ISO, and other styles

49

Zein Samira, Yodit Wondaferew Weldegeorgise, Olajide Soji Osundare, Harrison Oke Ekpobimi, and Regina Coelis Kandekere. "Development of an integrated model for SME marketing and CRM optimization." International Journal of Management & Entrepreneurship Research 6, no. 10 (2024): 3209–42. http://dx.doi.org/10.51594/ijmer.v6i10.1612.

Full text

Abstract:

The development of an integrated model for optimizing marketing and customer relationship management (CRM) in small and medium-sized enterprises (SMEs) presents a crucial advancement in enhancing business competitiveness and customer engagement. This paper proposes a unified model that merges scalable software solutions for social media analytics with AI-driven CRM to provide a comprehensive framework for SMEs to enhance their marketing strategies and customer interactions. Social media platforms have become vital channels for customer outreach, engagement, and feedback, yet SMEs often face ch

APA, Harvard, Vancouver, ISO, and other styles

50

Irshadullah Asim Mohammed. "The Role of Artificial Intelligence in Enhancing Business Efficiency and Supply Chain Management." Journal of Information Systems Engineering and Management 10, no. 10s (2025): 509–18. https://doi.org/10.52783/jisem.v10i10s.1413.

Full text

Abstract:

Artificial Intelligence (AI) is revolutionizing business operations and supply chain management by enhancing efficiency, reducing costs, and optimizing decision-making. This paper explores the transformative impact of AI in streamlining supply chain processes, improving demand forecasting, and enhancing inventory management. AI-driven automation, predictive analytics, and real-time data processing are enabling businesses to minimize inefficiencies, mitigate risks, and enhance overall productivity. The study highlights key AI technologies, including machine learning, natural language processing

APA, Harvard, Vancouver, ISO, and other styles

We offer discounts on all premium plans for authors whose works are included in thematic literature selections. Contact us to get a unique promo code!