Effective B2B personalization requires more than audience segments. Discover how unified customer profiles, cross-channel ...

For a discounting strategy to have any chance at success, gut feelings won’t do. Real data and performance metrics must guide ...

Static segmentation isn't personalization. Sinch's Sophie Cheng on using behavioral signals, optimal channel, AI to make B2B ...

The programme will be held in live sessions. This will help working professionals or aspirants who wants to enter-commerce and quick commerce complete the course without leaving the work.

Researchers at the University of Notre Dame have developed a new open-source toolkit intended to make iris recognition technology more transparent, easier to test, and more accessible to academic ...

TRACARDI is an API-first solution, low-code / no-code platform aimed at any business that wants to start using user data for automated customer engagement. Reuse your current infrastructure Tracardi ...

From stock market analysis to AI-powered predictions, explore projects that boost your portfolio Whether beginner or expert, these R projects can accelerate your career in 2026 Data science today ...

Python remains a top-3 global language, driven by demand for AI, data analytics, and automation across industries like fintech and healthcare. High-growth roles include data science, AI engineering, ...

Ecommerce and Meta often go hand in hand. You can give Meta a 20,000-item catalog and a budget, and with its AI-powered Advantage+ campaigns, it’ll try to pair the right person with the right product, ...

Back in 2022, marketers were told to learn machine learning operations. In my post on machine learning, I predicted then that open-source ML frameworks would democratize model building for marketing ...

Abstract: Customer segmentation is a method that uses un- supervised machine learning to segment customers by common characteristics, behaviors, and wants. This technique enables companies to market ...