Data science: What AI and analytics can do for omnichannel retailers

Omni-Channel Retailing in the Age of AI and Enhanced Analytics

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On average, small companies store analytical data from 8 different sources, mid-size organizations use 22 different sources and large enterprises have around 36 different sources from which they store data for analytical purposes, according to Aberdeen Research.

Over 50% of respondents in these 3 categories state they have insufficient ability to utilize growing data, and over 50% of mid-size and large enterprises state they have data stored in too many different silos.

View this IBM webcast to discover potential solutions to these problems with AI and analytics integration, and how retailers can apply it in an omnichannel strategy to recruit and retain customers.

Vendor:
IBM
Premiered:
Dec 31, 2018
Format:
HTML
Type:
Webcast
Language:
English
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