GENAI MULTIPLE: THE INFLUENCE OF GENERATIVE AI COMPONENTS IN BUSINESS MODELS ON COMPANY VALUATION

This article analyzes the influence of multiple generative artificial intelligence (GenAI multiple) components on business models and company valuation. The main aspects of using GenAI multiple are considered, such as process automation, reducing operating costs, improving forecasting accuracy and improving customer interaction. Special attention is given to the study of synergistic interactions between multiple artificial intelligence models for process optimization, which opens up new opportunities for companies in industries like finance, marketing, retail, and manufacturing. The article also discusses how GenAI multiple contributes to the growth of intangible company assets, such as data and intellectual property, thus increasing their market value. Examples of successful implementation of GenAI multiple by companies like Accenture and Bain & Company are provided.

Institutions

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2024-10-18
DOI
https://doi.org/10.5281/zenodo.13951893
Primary Topic
Historical Influence and Diplomacy
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

GENAI MULTIPLE: THE INFLUENCE OF GENERATIVE AI COMPONENTS IN BUSINESS MODELS ON COMPANY VALUATION

Zenodo (CERN European Organization for Nuclear Research)
Historical Influence and Diplomacy
article

GENAI MULTIPLE: THE INFLUENCE OF GENERATIVE AI COMPONENTS IN BUSINESS MODELS ON COMPANY VALUATION

article en

Abstract

This article analyzes the influence of multiple generative artificial intelligence (GenAI multiple) components on business models and company valuation. The main aspects of using GenAI multiple are considered, such as process automation, reducing operating costs, improving forecasting accuracy and improving customer interaction. Special attention is given to the study of synergistic interactions between multiple artificial intelligence models for process optimization, which opens up new opportunities for companies in industries like finance, marketing, retail, and manufacturing. The article also discusses how GenAI multiple contributes to the growth of intangible company assets, such as data and intellectual property, thus increasing their market value. Examples of successful implementation of GenAI multiple by companies like Accenture and Bain & Company are provided.

Zenodo (CERN European Organization for Nuclear Research)
Lomonosov Moscow State University (RU), Moscow State University (TJ)
Industry, innovation and infrastructure
Openalex Percentile: Top 35%
Historical Influence and Diplomacy
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.

GENAI MULTIPLE: THE INFLUENCE OF GENERATIVE AI COMPONENTS IN BUSINESS MODELS ON COMPANY VALUATION · Zenodo (CERN European Organization for Nuclear Research) (2024) | TGRS Research Map | TGRS