Artificial Intelligence: Framework of driving triggers to past, present and future applications and influencers of industry sector adoption

TL;DR

This paper reviews the historical, current, and future trends of Artificial Intelligence, highlighting key technological changes, industry applications, and factors influencing adoption speed across sectors.

Contribution

It provides a comprehensive framework analyzing AI development over time, industry sector applications, and the driving triggers that accelerate AI adoption.

Findings

AI has evolved significantly over decades with key technological milestones.

Industry sectors are increasingly adopting AI driven by cost, speed, and accuracy benefits.

Factors like diversity and interdisciplinary collaboration influence AI adoption rates.

Abstract

To gain a sense of the development of Artificial Intelligence (AI), this research analyzes what has been done in the past, presently in the last decade and what is predicted for the next several decades. The paper will highlight the biggest changes in AI and give examples of how these technologies are applied in several key industry sectors along with influencers that can affect adoption speed. Lastly, the research examines the driving triggers such as cost, speed, accuracy, diversity/inclusion and interdisciplinary research/collaboration that propel AI into an essential transformative technology.