New York: Dynamic Yield, the AI-Powered Personalization Anywhere platform, today announced the release of Affinity-Based Personalization – a new capability allowing brands to leverage automatically generated user affinity profiles to easily build a new class of user segments and deliver highly-targeted experiences across channels. While retailers track purchases, they've missed out on a trove of highly valuable information in the form of product and category browsing activity over the years. This structured data can be used for the creation of more relevant and individualized marketing campaigns, but instead, often goes completely unsaved. Dynamic Yield can now match a visitor's browsing activities with the attributes of the products they interact with, leveraging the data to build a unique affinity profile for each individual in real-time. In turn, this allows for the automated creation of new and sophisticated user segments that can be utilized across all channels, including web, mobile, app, email, as well as sent to external third party platforms like DMPs, BI tools, DSPs and more.
"Am I going to be replaced by a Robot?" The elephant in the room for Sales Enablement professionals at SES (Sales Enablement Society) meetings is the question, "Will AI take over my job?" At a panel discussion in Seattle this week led by author and CEO of ScaleX.ai, Chad Burmeister, the collective answer was, "PROBABLY NOT… if you engage and evolve!". The panelists included Sales Enablement expert, trainer and program designer Cheryl McCurdy Christensen,(CEO of Data2Develop), Parth Mukherjee (Head of Product marketing, chorus.ai),
IFI CLAIMS Patent Services has a global patent database with more than 110 million records from about 100 countries that the company has painstakingly assembled over the years. "We take information from different data sources and we standardize it and put it in a usable format that companies can either access directly or they can build a user interface on top of it," Director of Marketing Catherine Suski said. Could the company have acquired this comprehensive dataset instead? There is nothing like it in the world, she said. Furthermore the company is continually adding to it and monitoring it for quality.