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{"id":60808,"date":"2019-06-12T11:23:32","date_gmt":"2019-06-12T15:23:32","guid":{"rendered":"https:\/\/www.beet.tv\/?p=60808"},"modified":"2019-06-12T11:23:32","modified_gmt":"2019-06-12T15:23:32","slug":"spark-foundry-lisa-giacosa","status":"publish","type":"post","link":"https:\/\/dev.beet.tv\/2019\/06\/spark-foundry-lisa-giacosa.html","title":{"rendered":"Spark Foundry’s Giacosa Wants AI To Get Emotional"},"content":{"rendered":"

People keep talking about artificial intelligence as though it is some distant future. The reality is that many companies are now using variants of AI to enhance their business processes.<\/p>\n

Case in point – Publicis agency Spark Foundry is using machine learning on audience data points to enable the creation of dynamically-produced ad creative, customized for distinct audience types.<\/p>\n

In this video interview with Beet.TV, Lisa Giacosa, Spark Foundry global EVP data, technology, analytics and insights, says the machine speed is fantastic – but she also wants the machine to become more human.<\/p>\n

“The reality is is that we can’t move as fast as a machine can go,” she says. “We’ve already rolled out machine learning on a number of campaigns across the Publicis network, to great success.<\/p>\n

“In an instance in Europe, we have over 500 permutations of creative running within a week, within one campaign across multiple markets. And that’s limitless – it starts to get to the point where you can get completely one-to-one in terms of how creative you can get in terms of the bespoke messaging.<\/p>\n

“We have a plethora of data, enables us to truly understand where people are and what they are doing, but we need to overlay that emotional connection.”<\/p>\n

So, how exactly is Spark Foundry getting data in to the machine learning system? And how is it building up those fragments in to a picture of an audience member’s actual identity.<\/p>\n

Giacosa lifted the lid on a series of data sources she uses:<\/p>\n