AI Use Cases

Useful, based on a study of 400 use examples.  Still speculative, since it depends on the complexity of these use cases.  In what was needed to solve the problem and the nature and stability of the data involved, and the support from decision makers.  Still a proponent of finding simpler problems for quick wins, to learn the context.  Follow the  most attention, which is often driven by money.  Or risk or disruptive competition.

Most of AI’s Business Uses Will Be in Two Areas
By Michael Chui, Nicolaus Henke,Mehdi Miremadi in HBR

While overall adoption of artificial intelligence remains low among businesses (about 20% upon our last study), senior executives know that AI isn’t just hype. Organizations across sectors are looking closely at the technology to see what it can do for their business. As they should—we estimate that 40% of all the potential value that can created by analytics today comes from the AI techniques that fall under the umbrella “deep learning,” (which utilize multiple layers of artificial neural networks, so-called because their structure and function are loosely inspired by that of the human brain). In total, we estimate deep learning could account for between $3.5 trillion and $5.8 trillion in annual value.

However, many business leaders are still not exactly sure where they should apply AI to reap the biggest rewards. After all, embedding AI across the business requires significant investment in talent and upgrades to the tech stack as well as sweeping change initiatives to ensure AI drives meaningful value, whether it be through powering better decision-making or enhancing consumer-facing applications.

Through an in-depth examination of more than 400 actual AI use cases across 19 industries and nine business functions, we’ve discovered an old adage proves most useful in answering the question of where to put AI to work, and that is: “Follow the money.”  .... "