Artificial Intelligence: Framework of driving triggers to past, present and future applications and influencers of industry sector adoption
This paper provides a broad overview of AI's evolution and adoption across industries, but it is incremental as it synthesizes existing knowledge without introducing new methods or data.
The research analyzes the historical development, current applications, and future predictions of Artificial Intelligence, highlighting key changes and industry sector examples along with factors influencing adoption speed.
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.