Columns

As we bid goodbye to 2023, the cybersecurity domain has once again proven to be a very dynamic and challenging one.

By Shalini A. Nair, Associate Vice President, Corporate Transformation Initiatives, Quality, Infosys Be it a technology leader like Intel, a non-profit organisation like Code for...

Ongoing debates globally about generative AI are not restricted to the risks the technology poses but also about how it can be harnessed for good.

Dropbox's recent move to discontinue its unlimited cloud storage plan is part of an industry-wide trend.

As a result, most workplaces will see more younger people walking in through their doors than ever before. However, the younger workforce also brings with it different expectations.

The potential of artificial intelligence (AI) is unlocking vast opportunities, particularly for central banks, as it brings considerable cost-saving and efficiency benefits besides providing cybersecurity.

In addition to security and compliance, customer identity verification enhances customer experiences when implemented effectively.

Artificial Intelligence (AI) has emerged as a transformative technology, revolutionizing enterprises by empowering them to streamline and optimize their operations. Specifically, Generative AI has showcased remarkable potential for exploration and groundbreaking innovation.

While data fuels machine learning, not all data is equal. Skewed data can cause significant havoc on machine learning models as most parametric machine learning models like Linear Regression or LDA assume that data is normally distributed.

In the ever-evolving landscape of cybersecurity, DDoS attacks remain a persistent and concerning threat. According to Radware’s 2023 H1 Global Threat Analysis Report, Web DDoS attacks have become more sophisticated, utilising high Request Per Second (RPS) traffic while randomising multiple elements of the request to create seemingly legitimate traffic