graphic for The 2018 Index of Predictive Tools in HRTech: The Emergence of Intelligent Software

 

HRIntelligencer v1.24

On November 7, 2017, in HR Intelligencer, HRExaminer, by John Sumser

HRIntelligencer logo 544px

Big Picture
  • The 10 Top Recommendations for the AI Field in 2017.  When a new drug is released into the marketplace, it must first undergo rigorous scientific trials and testing and continued monitoring of its medium and long-term effects. Care and caution is paramount in this domain, because if things go wrong, many people experience significant harm. The same is true for AI systems in high stakes domains.
  • Automation vs Humanization: The 21st-Century’s Two Most Powerful Trends  Yes, automation will kill a ton of jobs in the coming years. But in an automated world there will also be ever-greater demand for the truly human, and new ways for individuals to profit from their unique knowledge, passion, and personality. In other words, in a world where the functional and transactional is automated, what we’ll have left is each other. New jobs, and a new kind of economy, will be built on new ways to entertain, inspire, inform and simply be with your fellow humans.
HR’s View
Execution
Tutorial
  • Webcast: Using natural language processing to build applications in the enterprise  Wednesday, November 15, 2017 10:00 AM PT. If you’re trying to build an intelligent application that uses unstructured data, then you need to understand the fundamentals of natural language processing (NLP). Join Tom Markiewicz as he overviews NLP and discusses real-world examples of how NLP has been used to build applications in the enterprise.
Quote of the Week

“Companies need to approach gender inequality as they would any business problem: with hard data. Most programs created to combat gender inequality are based on anecdotal evidence or cursory surveys. But to tailor a solution to a company’s specific problems, you need to seek data to answer fundamental questions such as “When are women dropping out?” and “Are women acting differently than men in the office?” and “What about our company culture has limited women’s growth?” When organizations implement a solution, they need to measure the outcomes of both behavior and advancement in the office. Only then can they transition from the debate about the causes of gender inequality (bias versus behavior) and advance to the needed stage of a solution.”  – A Study Used Sensors to Show That Men and Women Are Treated Differently at Work.

About

Curate means a variety of things: from the work of vicar entrusted with the care of souls to that of an exhibit designer responsible for clarity and meaning. At the core, it means something about the importance of empathy in organization. HRIntelligencer is an update on the comings and goings in the Human Resource experiment with Artificial Intelligence, Digital Employees, Algorithms, Machine Learning, Big Data and all of that stuff. We present a few critical links with some explanation. The goal is to give you a way to surf the rapidly evolving field without drowning in information. We offer a timeless curation of the intersection of HR and the machines that serve it. We curate the emergence of Machine Led Decision Making in HR.

graphic for The 2018 Index of Predictive Tools in HRTech: The Emergence of Intelligent Software


 
Page 1 of 11
Read previous post:
2017-11-06-hrexaminer-photo-img-cc0-via-pexels-by-pixabay-photo-221310-article-544x165px.jpg
Privilege

"For organizational leaders, I think one of the challenges of our times is going to be centered around privilege. What...

Close