Static segmentation isn't personalization. Sinch's Sophie Cheng on using behavioral signals, optimal channel, AI to make B2B ...
Indian Institute of Technology (IIT) Roorkee has collaborated with TeamLease EdTech and launched the Executive Program in AI for E-Commerce & Quick Commerce. IIT Roorkee, Team Lease EdTech introduce ...
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.
In this project, I have utilized survival analysis models to see how the likelihood of the customer churn changes over time and to calculate customer LTV. I have also implemented the Random Forest ...
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 ...
The art of crafting analytics dashboards goes far beyond displaying metrics on a screen. For marketing managers responsible for customer experience, these dashboards become the primary vehicle for ...
AI agents used in e-commerce necessitates secure payment protocols capable of handling high-determinism user authorization, agent authentication, and non-repudiable accountability. The Agent Payments ...