AI Transformation

Work is being reshaped and expectations are rising. In 2027, job descriptions need a new standard to find people with the skills this era demands.

AI is changing how HR teams approach people analytics, and which data they need to make better people decisions.

Why AI makes workforce redeployment necessary, and three criteria to build into any AI competency assessment of your employees.

AI job postings are surging. To find the AI talent your company needs, assess real-world problem-solving, not just credentials.

Knowing a lot about AI doesn’t mean using it well. Here’s how companies now test employees’ real-world AI skills, as KBS reporters found out firsthand.

Three criteria to apply when evaluating AI competency assessment solutions, and how four leading solutions in Korea measure up against them.

A multiple-choice quiz alone can’t reveal AI competency. Here’s how to measure AI knowledge, applied skill, and everyday use separately.

What should you measure when assessing AI competency at work? A guide to structuring AI competency along two axes: depth and breadth.

Highlights and the full Q&A from Telta’s first webinar on April 21: what HR needs to know before investing further in AI.

Beyond testing knowledge to tracing the thought process: a new standard for verifying how well people actually use AI at work.

In the AI era, psychological safety has to be built on predictability, not just good relationships.

The return on AI adoption depends not on the tools but on the AI literacy of the people who use them.

Concrete, AI-powered ways to turn the promise of data-driven HR into reality.