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Artificial Intelligence (AI) Use Cases

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This article series is designed to provide you with insight on the ways artificial intelligence (AI), machine learning (ML), and deep learning (DL) can be (or already are being) utilized in a variety of industries.

Artificial Intelligence (AI) Use Cases

Although artificial intelligence (AI), machine learning (ML), and deep learning (DL) have been around for more than half a century, we still aren’t anywhere close to being able to create complex machines that possess all the characteristics of human intelligence. However, we have learned how to get computers to perform certain tasks – especially repeatable tasks – as well as, or in some cases, better than human beings. And, we have learned how to embed AI, ML, and DL into business processes to generate insights that can have a profound impact on the way an organization sets themselves apart from their competitors.

In fact, AI, ML, and DL are being used in this manner today to:

  • Disrupt industry leaders (by enabling smaller companies with fewer resources to create innovative techniques that challenge the established way of doing business – for example Uber and Airbnb)
  • Expand a company’s demographic reach (by predicting customer behavior, evaluating customer sentiment towards products and services offered, and using predictive analytics to gain insight into how a new product or service will be accepted)
  • Personalize interactions with customers
  • Improve IT operational efficiency
  • Detect fraud – not only after it has taken place – but also before a fraudulent transaction is completed
  • Improve employee and/or operational productivity (by looking at behavioral patterns of employees or characteristics of targeted operations)

The use cases for AI, ML, and DL are endless. And research has shown that companies are rapidly becoming adopters. In a recent study titled, The State of Machine Learning Adoption in the Enterprise, O’Reilly noted that “49% of organizations reported they were exploring or looking into deploying ML, while a slight majority of 51% claimed to be early adopters.” Moreover, Forbes’ Roundup Of Machine Learning Forecasts And Market Estimates, 2020 states that one in ten enterprises now use ten or more AI applications.

Chatbots, process optimization, and fraud analysis lead in use cases. And according to MMC Ventures’ The State of AI Divergence, 2019, report (referenced in the Forbes report just cited), the most prevalent AI applications include consumer/market segmentation (15%), computer-assisted diagnostics (14%), call center virtual assistants (12%), sentiment analysis/opinion mining (12%), face detection/recognition (11%), and HR applications such as those used to screen resumes (10%).

Stay Tuned
In the next part of this article series, we’ll take a look at how AI, ML, and DL are being used in the financial sector.

Sources:

The State of Machine Learning Adoption in the Enterprise: (O’Reilly)

https://www.oreilly.com/data/free/state-of-machine-learning-adoption-in-the-enterprise.csp

Roundup Of Machine Learning Forecasts And Market Estimates, 2020 (Forbes)

https://www.forbes.com/sites/louiscolumbus/2020/01/19/roundup-of-machine-learning-forecasts-and-market-estimates-2020/?sh=5f8e2ce75c02

 

Roger Sanders

Roger E. Sanders is a Principal Sales Enablement & Skills Content Specialist at IBM. He has worked with Db2 (formerly DB2 for Linux, UNIX, and Windows) since it was first introduced on the IBM PC (1991) and is the author of 26 books on relational database technology (25 on Db2; one on ODBC). For 10 years he authored the “Distributed DBA” column in IBM Data Magazine, and he has written articles for publications like Certification Magazine, Database Trends and Applications, and IDUG Solutions Journal (the official magazine of the International Db2 User's Group), as well as tutorials and articles for IBM's developerWorks website. In 2019, he edited the manuscript and prepared illustrations for the book “Artificial Intelligence, Evolution and Revolution” by Steven Astorino, Mark Simmonds, and Dr. Jean-Francois Puget.

From 2008 to 2015, Roger was recognized as an IBM Champion for his contributions to the IBM Data Management community; in 2012 he was recognized as an IBM developerWorks Master Author, Level 2 (for his contributions to the IBM developerWorks community); and, in 2021 he was recognized as an IBM Redbooks Platinum Author. He lives in Fuquay Varina, North Carolina.


MC Press books written by Roger E. Sanders available now on the MC Press Bookstore.

QuickStart Guide to Db2 Development with Python QuickStart Guide to Db2 Development with Python
Discover how Python, SQL, and Db2 can successfully be used with each other.
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Don't even think about attempting to take the DB2 Fundamentals exam without this indispensable study guide.
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DB2 10.1 Fundamentals (Exam 610) DB2 10.1 Fundamentals (Exam 610)
Let one of the world's leading DB2 authors and a participant in the exam development help you succeed.
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Artificial Intelligence: Evolution and Revolution Artificial Intelligence: Evolution and Revolution
Operational AI has become available to the masses, setting the wheels in motion for a worldwide AI revolution that has never been seen before.
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DB2 10.5 DBA for LUW Upgrade from DB2 10.1: Certification Study Notes DB2 10.5 DBA for LUW Upgrade from DB2 10.1: Certification Study Notes
Here's everything you need to know to take and pass Exam 311, complete with a practice exam and study key.
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From Idea to Print From Idea to Print
Here's everything you need to know to turn your technical knowledge and expertise into a published article or book.
List Price $49.95

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DB2 9 Fundamentals (Exam 730) DB2 9 Fundamentals (Exam 730)
Use this review before taking the test to prove you've mastered the basics of DB2 9.
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DB2 9 for Linux, UNIX, and Windows Database Administration (Exam 731) DB2 9 for Linux, UNIX, and Windows Database Administration (Exam 731)
Use this indispensable study guide to prepare to take, and pass, Exam 731.
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DB2 9.7 for Linux, UNIX, and Windows Database Administration (Exam 541) DB2 9.7 for Linux, UNIX, and Windows Database Administration (Exam 541)
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DB2 9 for Linux, UNIX, and Windows Advanced Database Administration (Exam 734) DB2 9 for Linux, UNIX, and Windows Advanced Database Administration (Exam 734)
Review all exam topics and take the included practice test to be sure you're ready on testing day.
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This book explains the concepts and values that a data fabric approach can deliver to both technical and business communities.
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