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The Growing Role of AI in Hiring: A Double-Edged Sword
From screening résumés to conducting initial interviews, AI algorithms are becoming integral to the hiring process. This technological shift offers numerous advantages but also raises critical concerns. Efficiency and Skill Matching AI's primary allure in recruitment...
Bias Mitigation Methods for Machine Learning Classifiers
In the paper titled "A Comprehensive Empirical Study of Bias Mitigation Methods for Machine Learning Classifiers" by Zhenpeng Chen et al., the authors address the critical issue of bias in machine learning (ML) models. The study evaluates 17 different bias mitigation...
The Current State and Future Opportunities of AI in Organisations
Artificial Intelligence (AI) is revolutionising how organisations operate by enabling machines to perform human-like cognitive tasks such as problem-solving, decision-making, and innovation. Despite its potential, AI remains in its infancy within most large...
Understanding OKRs: Origins, Benefits, Criticisms, and Alternatives
What are OKRs? OKRs stand for Objectives and Key Results. This framework helps organisations set and track goals with measurable outcomes. An Objective is a clearly defined goal, while Key Results are specific, quantifiable actions used to achieve the objective. For...
Understanding the Growth Hacking Funnel: A Strategic Approach to Rapid Growth
The Growth Hacking Funnel, a concept that has gained significant traction over the past decade, offers a strategic approach to drive user acquisition, retention, and revenue. This blog post explores the origins of the Growth Hacking Funnel, how it fits with other...
Understanding Jobs To Be Done (JTBD): A User-Centric Approach to Innovation
What is Jobs To Be Done (JTBD)? The JTBD framework was popularised by Clayton Christensen, a professor at Harvard Business School. At its core, JTBD posits that users "hire" products and services to get specific jobs done in their lives. Instead of merely categorising...