AI as Talent Scout
Using analytics to identify nontraditional job candidates who are as qualified and high performing as traditional candidates
Using analytics to identify nontraditional job candidates who are as qualified and high performing as traditional candidates
With millions of employees collaborating virtually with their colleagues via platforms like Zoom and Slack, companies now have access to a plethora of data that could be used to track the productivity of their employees. But should they use it?
This post explores the potential of people analytics in a military environment. Using a study of from USC involving Marines in a training environment, it argues that a focus on quantifiable and objective data is necessary for widespread adoption of analytics in decision making.
As the SARS-CoV-2 pandemic pushes office work to digital platforms, employees are creating more, and more complete, communications data than ever before. Should companies view this as an opportunity to roll out new analytics tools?
Amazon has experimented with a variety of tracking systems for warehouse employees, including tracking wristbands and automated termination. What are the human costs of these systems, and how can they be best corrected?
Uplevel, a Seattle-based people analytics and productivity startup, emerged from stealth mode in January 2020 and announced a $7.5M seed financing from Madrona Venture Group, Norwest Venture Partners, and Voyager Capital.
Schools in China are monitoring children’s concentration levels using AI – can we imagine similar moves at the workplace?
This blog explores the future of data mining in the trucking industry. Although at first glance, monitoring the brain activity of a driver might appear to be a gross violation of privacy, it may be a better alternative than current regulatory standards.
In 2019, IBM noted that its artificial intelligence can predict with 95% accuracy which workers are about to quit their jobs[1]. It is a remarkable achievement as cost of employee replacement is estimated to be between 30 and 400% of […]
Experts argue how organizational network analysis has fallen short of its promise, but an organization's approach makes a big difference.