The role of machine learning and artificial intelligence in optimizing costs and increasing revenues of technological companies DOI

Ivan Khalimonchuk,

Iryna Didenko

Опубликована: Янв. 1, 2024

The following article delves into the profound impact of Artificial Intelligence (AI) and Machine Learning (ML) on enhancing business efficiencies streamlining processes. With technological advancements continuing to accelerate, this subject has gained increasing significance. In an era where economies heavily rely data, it become imperative for companies integrate AI ML models their operations maintain competitiveness, reduce expenses, boost revenues. research focuses implementing various paradigms, including Natural Language Processing (NLP) chatbots, across enterprises diverse scales. It specifically explores influence sales, marketing, customer service. These tools signify businesses' evolving strategies navigate intricate markets. This uses a quantitative analytical approach evaluate financial implications integrating artificial intelligence within companies. To achieve this, we are utilizing both linear regression random forest our analysis. methodology enables comprehensive analysis correlation between adopting advanced technologies subsequent performance. substantial body underscores escalating significance businesses adapt these changes. study contributes extensive knowledge by furnishing empirical evidence AI's augmenting outcomes. findings affirm that strategic development integration crucial company revenues overall economic well-being. For research, selected global Amazon investment report AI/ML growth from 2011 2023. practical benefits leveraging in real-world scenarios. conclusions suggest continuously refine incorporate optimal operational efficiency. By outlines advantages specific provides framework aiming utilize technology gain competitive edge market. Consequently, lies its capacity inform enhance through effective implementation ML.

Язык: Английский

Investigating the Impact of AI-powered Personalization on Brand Awareness in B2B E-commerce DOI
Tornike Khoshtaria, Arian Matin,

Gigi Abrakhamia

и другие.

FIIB Business Review, Год журнала: 2025, Номер unknown

Опубликована: Март 16, 2025

This study explores how AI-powered personalization enhances brand awareness in the B2B e-commerce sector. Through a quantitative approach, research examines six dimensions of AI personalization, testing seven hypotheses with data from 371 clients retail and agricultural sectors. Structural equation modelling using SPSS 25 AMOS reveals that AI-driven factors such as customer service, information recommendation, machine learning, satisfaction quality significantly boost awareness. We have conducted analysis demographics, exploratory factor (EFA) for reliability test validity assessment, confirmatory (CFA) structural (SEM) hypothesis, were used analysis. However, privacy, interaction accessibility, well mediational effect value co-creation, show no notable impact. provides fresh insights into AI’s role branding, offering valuable framework professionals looking to integrate their marketing strategies bolster

Язык: Английский

Процитировано

0
The role of machine learning and artificial intelligence in optimizing costs and increasing revenues of technological companies DOI

Ivan Khalimonchuk,

Iryna Didenko

Опубликована: Янв. 1, 2024

The following article delves into the profound impact of Artificial Intelligence (AI) and Machine Learning (ML) on enhancing business efficiencies streamlining processes. With technological advancements continuing to accelerate, this subject has gained increasing significance. In an era where economies heavily rely data, it become imperative for companies integrate AI ML models their operations maintain competitiveness, reduce expenses, boost revenues. research focuses implementing various paradigms, including Natural Language Processing (NLP) chatbots, across enterprises diverse scales. It specifically explores influence sales, marketing, customer service. These tools signify businesses' evolving strategies navigate intricate markets. This uses a quantitative analytical approach evaluate financial implications integrating artificial intelligence within companies. To achieve this, we are utilizing both linear regression random forest our analysis. methodology enables comprehensive analysis correlation between adopting advanced technologies subsequent performance. substantial body underscores escalating significance businesses adapt these changes. study contributes extensive knowledge by furnishing empirical evidence AI's augmenting outcomes. findings affirm that strategic development integration crucial company revenues overall economic well-being. For research, selected global Amazon investment report AI/ML growth from 2011 2023. practical benefits leveraging in real-world scenarios. conclusions suggest continuously refine incorporate optimal operational efficiency. By outlines advantages specific provides framework aiming utilize technology gain competitive edge market. Consequently, lies its capacity inform enhance through effective implementation ML.

Язык: Английский

Процитировано

1