AI business model: an integrative business approach

Shrutika Mishra,A R Tripathi

doi:10.1186/s13731-021-00157-5

Shrutika Mishra, A R Tripathi

Open Access

https://doi.org/10.1186/s13731-021-00157-5

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Abstract

Artificial intelligence is the ecosphere’s prevalent and most comprehensive general acquaintance common-sense cognitive engine. The artificial intelligence (AI) business platform model is virtually at affluence with cloud SaaS model. It concerns AI solutions that can work together on the top layer of the other digital systems, like a Customer Relationship Management (CRM) and Enterprise Resource Planning (ERP) business system. AI admittances in the digital data fluid through the coordination, fueling business enhancements over phases. In this business model, the business will safekeep a recurrent subscription. This paper endeavors to emphasize on the preventative side of the use of AI and machine learning (ML) technology to enterprise digital platform business model innovation and business dynamics. We acme the strategic implications and innovations with analytics. We explore the derivations of data-driven insights, models, and visualizations.

Highlights

Artificial intelligence and machine learning models are computational and mathematical algorithmic models which execute trained data and humanoid experiences input to produce a decision an expert would make when provided that same information (Alhashmi, Salloum, & Abdallah, 2019, Gentsch, 2018a, González-González & Jiménez-Zarco, 2014, Yorks, Rotatori, Sung, & Justice, 2020)
More studies are called for to subordinate emergent algorithmic and technological expertise to business model innovation (Iansiti & Lakhani, 2020; Lo’ai, Mehmood, Benkhlifa, & Song, 2016). These studies leantos graceful on reliant dynamics influencing digital business model innovation instigated by the evolving technology
Businesses are progressively observing for workforces who can modernize and who have a ground-breaking approach because they diagnose the requirement for teams who see foremost hitches, view them as openings, and devise ground-breaking elucidations (Muthusamy, Slominski, & Ishakian, 2018; Paul, Haque Latif, Amin Adnan, & Rahman, 2019)

Summary

Introduction

Artificial intelligence and machine learning models are computational and mathematical algorithmic models which execute trained data and humanoid experiences input to produce a decision an expert would make when provided that same information (Alhashmi, Salloum, & Abdallah, 2019, Gentsch, 2018a, González-González & Jiménez-Zarco, 2014, Yorks, Rotatori, Sung, & Justice, 2020). Data and knowledge, learning from experiences, reasoning and planning, safe human interaction through AI technology, multiagent systems, secure and private artificial intelligence communication, and machine vision and language processing are some of the key hubs of artificial intelligence (Burgess, 2018, Fountaine et al, 2019, Schulte & Liu, 2017) These things with their significant landscapes can be pictorially represented as below (Fig. 1)

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