IDEAS home Printed from https://ideas.repec.org/h/spr/fuobcp/978-3-031-19039-1_3.html

AI in Industry Today

In: Artificial Intelligence for Industries of the Future

Author

Listed:
  • Mayank Kejriwal

    (University of Southern California, Information Sciences Institute, Ste 1001)

Abstract

This chapter provides an extensive dive into AI research and innovation in industry today. We begin by considering the most important source of AI innovation outside of academia: Big Tech research labs. While it is not always evident who should, and should not, be included under the umbrella of “Big Tech,” some candidates are fairly apparent, including Apple, Meta, and Alphabet. These companies and their products have had an outsize impact on smartphones (and other similar devices, as well as enabling services such as digital payment systems and media), social media, and Web search. At the same time, it has become evident over the last several years that companies not traditionally or currently classed as Big Tech companies, such as Tesla, but also large defense companies, such as Lockheed Martin, have also made important innovations in various subfields of AI. We briefly comment on these, before switching our discussion to the Chinese “Big Tech.” Finally, we comment on the important and disruptive role that small- and medium-sized enterprises, including startups, play in fostering and commercializing innovation in emerging technologies such as AI. We close the chapter with a case study on neural language models that have revolutionized applications in natural language processing and potential ethical concerns.

Suggested Citation

Handle: RePEc:spr:fuobcp:978-3-031-19039-1_3
DOI: 10.1007/978-3-031-19039-1_3
as

Download full text from publisher

To our knowledge, this item is not available for download. To find whether it is available, there are three options:
1. Check below whether another version of this item is available online.
2. Check on the provider's web page whether it is in fact available.
3. Perform a
for a similarly titled item that would be available.

More about this item

Keywords

;
;
;
;
;
;
;
;
;
;
;
;
;
;
;

Statistics

Access and download statistics

Corrections

All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:fuobcp:978-3-031-19039-1_3. See general information about how to correct material in RePEc.

If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

We have no bibliographic references for this item. You can help adding them by using this form .

If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

Please note that corrections may take a couple of weeks to filter through the various RePEc services.

IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.