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Transforming customer experiences has been a top priority for marketers for some time, however, a large percentage of marketers seem
01000011 01101100 01100101 01110110 01100101 01110010 01010100 01100001 01110000. Did you get that? For those of you who can’t read
Have you had the opportunity to work alongside award winners? We’re privileged to work with Jacob Joseph, our lead Data
Over 2 million apps are available on the Google Play Store and App Store. The average number of apps used
This post in intended to help readers to understand the algorithm behind our recommendation engine. We use Collaborative Filtering (CF)
Neural networks, as the name suggests, involves a relationship between the nervous system and networks. It’s a relationship loosely modeled
The concept of recommendations has been around since Amazon first added "inspired by your shopping trends" or "top picks for
Never before have marketers had access to more customer data. User profiles can go beyond basic name and demographic data
In today’s hyper connected, always-online world, companies are looking at AI to help them understand and overcome the challenges of
Do you often wonder when is the best time to send your campaigns? Your users are spread across geographies and
Ever wonder how Gmail or even Outlook knows when an email is spam? How does it automatically categorize messages as
Football season is finally back, and that 75” HD flat screen you’ve had your eye on for ages is on
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