Abstract
Artificial Intelligence has become a ripe topic of discussion, including among business leaders and in the popular press. While some of this discussion has a speculative element to it, much of it is predicated on the enormous successes of AI over the last decade, especially owing to deep learning. This chapter begins with a brief introduction to AI and its relatively young history and the differences between AI, machine learning, and deep learning. We then turn to a discussion of industries of the future and why we prefer that terminology to others. Drivers of industries of the future, including non-AI drivers, are discussed, with real-world examples and citations. We then turn briefly to the interesting question of where AI-based innovations driving industries of the future will likely come from and the important role of fundamental research. In the subsequent chapters, we dive into many of these issues in depth.
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Notes
- 1.
As is all too common in online news today, the title can sometimes be more dramatic than the actual content of many such articles, which tend to be more moderate in their conclusions.
- 2.
Defined as the process of creating an integrated circuit by combining thousands of transistors into a single chip.
- 3.
As case in point, technologies like the smartphone and the touchscreen were invented decades before they were commercialized into products that are now ubiquitous.
- 4.
The exact numbers of these patents depend on a thornier question of which patents count as AI patents. However, the press has been covering the issue of ramped-up patent activity by Big Tech in some detail [32].
- 5.
This includes not just AI but also many of the emerging technologies we discussed earlier in the chapter, including QIS and biotech.
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Kejriwal, M. (2023). Artificial Intelligence: An Introduction. In: Artificial Intelligence for Industries of the Future. Future of Business and Finance. Springer, Cham. https://doi.org/10.1007/978-3-031-19039-1_1
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