Advantage Algorithm Commerce Research 
CIO
MAY 16, 2023
According to research sponsored by techradar.pro, an astonishing 39% of U.S. To gain perspective, Iron Mountain sponsored research by Quadrant Strategies, which used digital listening technologies to study public online conversation trends among enterprise decision-makers. and tokenization.
bazaarvoice
SEPTEMBER 8, 2023
The social commerce renaissance continues. One nice side effect to this, though — aside from the continued influx of quality memes — is the sustained rise of social commerce. One nice side effect to this, though — aside from the continued influx of quality memes — is the sustained rise of social commerce.
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Smart Data Collective
MARCH 23, 2023
The Forbes Research Council wrote an article in October citing research showing that 71% of customers now expect a personalized experience. One solution to this challenge is omnichannel e-commerce, a customer-focused, AI-driven strategy that aims to provide a seamless shopping experience across multiple channels.
CIO
JULY 25, 2022
While researchers examined the pandemic in relation to how companies managed to keep afloat in such an unprecedented situation, auditors assessed the increased data vulnerability, lack of data compliance, and costs incurred by such events. The second data tokenization approach involves no vault.
Smart Data Collective
OCTOBER 31, 2021
The e-commerce sector is among those that has relied most heavily on analytics technology. Many e-commerce sites are discovering more innovative ways to apply data analytics. One of the most important benefits of analytics in e-commerce is in the web design process. However, this entails many issues beyond the design itself.
Smart Data Collective
MARCH 30, 2022
How Can Your New Ecommerce Startup Take Advantage of Analytics Technology? You can figure out how to take the online market for your goods and services by storm by following our guide to creating an e-commerce store! These algorithms are getting better all the time. But how do you go about dong this?
CIO
DECEMBER 11, 2023
Research is under way to correct biases, using synthetic data to address attributes such as gender, race, and ethnicity, he says, “but there will always be a need for a human-centric lens to be applied.” “Companies must fortify against attacks that could mislead AI models and result in ill-informed decisions.
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