Microsoft Corp's LinkedIn boosted subscription revenue by 8% after arming its sales team with artificial intelligence software that not only predicts clients at risk of canceling, but also explains how it arrived at its conclusion.
A 3D-printed logo of Microsoft is seen in front of a displayed LinkedIn logo in this illustration taken June 13, 2016. REUTERS/Dado RuvicLinkedIn boosted subscription revenue by 8% after arming its sales team with artificial intelligence software that not only predicts clients at risk of canceling, but also explains how it arrived at its conclusion.
Proponents of explainable AI say it has helped increase the effectiveness of AI’s application in fields such as healthcare and sales. Google Cloud But after two years of trial and error in a relatively low-stakes application, LinkedIn says its technology has yielded practical value. Its proof is the 8% increase in renewal bookings during the current fiscal year above normally expected growth. LinkedIn declined to specify the benefit in dollars, but described it as sizeable.
"It has helped experienced salespeople by arming them with specific insights to navigate conversations with prospects. It’s also helped new salespeople dive in right away," said Parvez Ahammad, LinkedIn's director of machine learning and head of data science applied research.In 2020, LinkedIn had first provided predictions without explanations. A score with about 80% accuracy indicates the likelihood a client soon due for renewal will upgrade, hold steady or cancel.
In addition, an index that measures a client's overall success with LinkedIn recruiting tools surged 25% in the last three months.
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