Brianna White

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Jul 30, 2019
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For the past 15 years, B2B revenue teams have been generating enormous volumes of data, in tracing the steps towards digital transformation. However, effective use of that data has, until now, lagged far behind. 
 There are two big reasons for this: First, while the majority of B2B buyer, seller and customer interactions are digital, collection and storage of interaction data have been inconsistent, and that has left significant blindspots in the collected data. 
 Second, the capabilities required to derive insights and action from the data had yet to be productized and made available for the masses of B2B organizations. AI is changing that and more in the revenue technology landscape. That will mean huge advances in what revenue teams can accomplish in the year to come.  
1. AI Will Unlock Insights and Illuminate Blind Spots
 AI is now making it possible to collect and log nearly every buyer interaction, illuminating blind spots and enabling a much more complete, high-definition view of the B2B buying process. 
 With this will come new insights about things like the volume and intensity of buyer interactions, the length of solution research, decision-making processes, and much more. 
Continue reading: https://www.toolbox.com/marketing/ai-in-marketing/guest-article/ai_changing_revtech/
 

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