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A Preview of Potential L&D and HR Trends for 2023

Ongoing themes in 2023 will include employee well-being; empathy building; diversity, equity, and inclusion; hybrid working; and HR data analytics.
How to Create a DEIA Program

How to Create a DEIA Program

There are many elements to a DEIA program, and the best way to structure one is to identify what feels natural to the organization and its needs.
Invest in skills now to energize your employee experience

Invest in Skills Now to Energize Your Employees’ Experiences

Employees offered meaningful opportunities to learn and grow are nearly three times more likely to be engaged than those who aren’t.
Confronting the ‘Great Resignation’: Why it’s vital to upskill your employees

Confronting the ‘Great Resignation’ by Upskilling Your Employees

To battle the ‘Great Resignation,’ businesses should be doing more to support their employees' career development.
The metaverse

The Training Needed to Prepare for the Metaverse

As hybrid work evolves, immersive work experiences will be increasingly important. Here are four ways to prepare for the Metaverse.

2022 Training Industry Report

U.S. training expenditures passed the $100 billion-mark for the first time in 2021-2022, according to Training magazine's 2022 Training Industry Report.

Training Hall of Fame Outstanding Training Initiatives (November 2022)

Each year Training magazine requires all Training Hall of Famers to submit an Outstanding Training Initiative that is shared with our readers. Here are the details of IBM’s pre-hire experience, Start at IBM Learning, and KLA Corporation’s Values In Action (VIA) program for senior leaders.

Tech Talk (November 2022)

Find out about the latest advances in training technology.
Diverse group of people working together.

Checks and Balances: Using AI to Mitigate Bias

Companies can improve their workplace culture by implementing intentional hiring practices that mitigate bias and increase diversity.

3 Tips for Effective Data Science Training

To pursue a successful career as a data scientist, adequate training and complex problem-handling skills are crucial. Here are three practical training tips.

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