Artificial Inteligence Digital Marketing Machine Learning 
N2Growth Blog
DECEMBER 4, 2024
Complementary Roles: How Marketing and Digital Initiatives Enhance Each Other Integrating marketing and digital efforts creates a powerful engine for customer engagement and business expansion. Digital platforms amplify marketing campaigns, enabling companies to reach wider audiences with personalized content.
TechCrunch
OCTOBER 29, 2021
While at Wish, we learned that to offer the right shopping experience, you had to do absolute personalization,” Li told TechCrunch. That was done with machine learning engineers, but when I left Wish and was advising brands, I found that what we had at Wish was rare. Social commerce startup Social Chat is out to change that.
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AWS Machine Learning - AI
MARCH 20, 2025
Traditionally, transforming raw data into actionable intelligence has demanded significant engineering effort. It often requires managing multiple machine learning (ML) models, designing complex workflows, and integrating diverse data sources into production-ready formats.
TechCrunch
NOVEMBER 3, 2021
When marketers Paul Benigeri and Geoffrey Woo were at their former companies, in food tech and e-commerce infrastructure, respectively, they experienced how manual and repetitive digital marketing workflows were, especially as the number of disparate and unintegrated marketing tools grew.
Altexsoft
MARCH 27, 2019
We’ll discuss collecting data about client relationship with a brand, characteristics of customer behavior that correlate the most with churn, and explore the logic behind selecting the best-performing machine learning models. Identifying at-risk customers with machine learning: problem-solving at a glance.
TechCrunch
JULY 5, 2022
.” Wiesenberg previously co-launched over-the-top tech provider Tvinci and Frido Communication, a digital marketing boutique. This meta-algorithm is what creates the secret sauce, connecting the business impact with the ‘dry’ machine-learning mathematical formulation.”
TechCrunch
OCTOBER 28, 2020
The new upgrade to the company’s service provides brands with a faster matching service based on machine learning algorithms designed to parse available jobs over different attributes across specific functions. Brands can typically fill their open positions in as little as 48 hours, the company said.
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