Future Of Customer Targeting: Inside Yash Mehta’s AI Playbook For Hyper-Personalized Retail

The future of customer targeting isn't about knowing more—it's about acting faster and smarter on what you already know.

Cybersecurity vs. Ethical Hacking: Which Career Path Should You Choose?

Examine the employment prospects for ethical hacking versus cybersecurity in 2026. Discover how AI is influencing the future ...

Stock Market Highlights 29 Dec 2025: Sensex sheds 346 pts, declines for 4th day on foreign fund outflows, thin year-end trading

Share Market highlights - Find here all the highlights related to Sensex, Nifty, BSE, NSE, share prices and Indian stock ...
Beebom

AI vs Machine Learning: What is the Difference?

AI is the broad goal of creating intelligent systems, no matter what technique is used. In comparison, Machine Learning is a specific technique to train intelligent systems by teaching models to learn ...
Morningstar

Machine Learning Can Forecast Which Stock Factors Will Outperform

A recent study, “Picking Winners in Factorland: A Machine Learning Approach to Predicting Factor Returns,” set out to answer a critical question: Can machine learning techniques improve the prediction ...
blockchain

How Machine Learning Predicts VM Lifetimes to Optimize Cloud Resource Placement: AI Business Impact

According to Jeff Dean (@JeffDean), machine learning is being leveraged to predict virtual machine (VM) lifetimes in order to optimize their placement within cloud computing environments. This ...
IEEE

Data-Driven Prediction of Campus Placement Success using Supervised Machine Learning Techniques

Abstract: Predicting campus placement victory is a critical trial in connecting the gap between academic achievements and qualified opportunities. This paper explores the application of machine ...
Journal of Medical Internet Research

Prediction of Moderate-to-Severe Sepsis-Associated Acute Kidney Injury Using a Dual-Timepoint Machine Learning Model: Development, Multiregional Validation, and Clinical ...

Objective: This study aimed to identify critical time points in SA-AKI progression development and validate dynamic, stratified machine learning prediction models for moderate-to-severe (Kidney ...