6
Read Time: Min
The industry is buzzing with talk about how Artificial Intelligence (AI) and Machine Learning (ML) are going to revolutionize talent sourcing.
$authorProfileLink
6
Read Time: Min
According to report of The Future of Jobs 2018 prepared for the World Economic Forum, 75 million working places will possibly disappear by 2022 and 133 million new places will be created.
$authorProfileLink
6
Read Time: Min
Your organization values people. But what does your organization value most about your people? What they’re producing now or their full potential?
$authorProfileLink
6
Read Time: Min
Lots of HR technology news happens daily, and I don’t always write about it. However, the news that Montage (@montagetalent) and Shaker (@shakervjt) are merging is indicative of a broader change I’ve been watching over the last year or two.
$authorProfileLink
6
Read Time: Min
Artificial Intelligence is currently revolutionizing human resources. Although seemingly contradictory, AI automates repetitive tasks and allows managers to focus on what really matters - the people
$authorProfileLink
6
Read Time: Min
No, the resume is not dead. Diversity and inclusion efforts may lead to its eventual demise, however.
$authorProfileLink
6
Read Time: Min
Technology is already impacting the way we hire today. Forward-thinking employers are constantly looking for new ways to connect and engage with talent.
$authorProfileLink
6
Read Time: Min
Acquiring quality, experienced leaders to fill a C-suite role might be the most difficult recruiting process out there, requiring extensive due diligence and lengthy interview processes until a best-in-class individual is found to become a new leader at a company.
$authorProfileLink
6
Read Time: Min
With this in mind, business should be digging into their hiring practices to find efficiencies. Many quickly realize they can significantly streamline this process with the help of technology.
$authorProfileLink
6
Read Time: Min
Artificial Intelligence (AI) still dominates the conversation, yet we are still in the early stages of understanding its potential impact. In most cases, companies have launched small or disparate experiments, leaving AI lingering in pilot phase.
$authorProfileLink
Cover Article
