• Home
  • About Us
  • Contact Us
  • Privacy Policy
  • Special Offers
Business Intelligence Info
  • Business Intelligence
    • BI News and Info
    • Big Data
    • Mobile and Cloud
    • Self-Service BI
  • CRM
    • CRM News and Info
    • InfusionSoft
    • Microsoft Dynamics CRM
    • NetSuite
    • OnContact
    • Salesforce
    • Workbooks
  • Data Mining
    • Pentaho
    • Sisense
    • Tableau
    • TIBCO Spotfire
  • Data Warehousing
    • DWH News and Info
    • IBM DB2
    • Microsoft SQL Server
    • Oracle
    • Teradata
  • Predictive Analytics
    • FICO
    • KNIME
    • Mathematica
    • Matlab
    • Minitab
    • RapidMiner
    • Revolution
    • SAP
    • SAS/SPSS
  • Humor

How machine learning can make humans better managers

November 27, 2016   Big Data
shutterstock 501705940 780x780 How machine learning can make humans better managers

Machine learning is rapidly infiltrating today’s workplace, in businesses of all shapes, sizes and industries — and it’s here to stay. In fact, so far in 2016 over 200 AI-focused companies have raised nearly $ 1.5 billion in funding, and equity deals to startups in AI increased 6x from roughly 70 in 2011 to almost 400 in 2015.

Large companies like Google, Microsoft, and Amazon have already begun to build their machine learning capabilities to handle large data sets and recognize patterns. But an area that machine learning hasn’t yet fully infiltrated — and one that it has the ability to transform — is people management. In fact, 55 percent of organizations still report being weak at using HR data to predict workforce performance and improvement.

Especially as more companies begin to ride this new wave of machine learning, it won’t be long before they’re leveraging their machine learning capabilities to transform ineffective people management processes. The benefits are twofold: First, machine learning has the ability to eliminate inherent workplace biases; and second, it can help prompt managers to provide the right feedback and recognition to the right employees, helping maintain a positive culture and retain good employees.

Problems with people management today

More than half of executives today believe that their current performance management approach is not effective in driving employee engagement or high performance. Additionally, managers account for at least 70 percent of the variance in employee engagement scores across business units. Only 30 percent of U.S. workers are engaged, demonstrating a clear link between poor managing and a nation of “checked out” employees.

In addition to those challenges, inherent biases linked to gender, age, well-liked employees, and more continue to be a huge problem in the workplace. Earlier this year, it was reported that companies need to make retention of female employees a priority, especially with 56 percent of women in computing jobs leaving their positions at the “mid-level” point. Additionally, women are 20 percent less likely than men to say they get management feedback that helps them improve their performance.

Making humans better managers

With the use of machine learning, companies can ensure that these biases in the workplace, whether inherent or on purpose, are eliminated. Machine learning already has the opportunity to make an impact on people management. Companies like Accenture, SAP, and Deloitte are trading in their traditional performance management ratings and rankings systems for technologies that bring transparency to data around the work employees do. This creates huge opportunities to leverage data to provide the right assessment of employees and get a holistic picture of what’s driving work. As this data surfaces, so does the ability to apply machine learning to turn managers into effective coaches.

In today’s work environment, managers seldom focus their energies on coaching employees continuously. Yet feedback and recognition are most effective when they’re given instantly with appropriate context and specificity. Waiting until the end of the year introduces different biases focusing on recent wins or only well-liked employees. Instead of basing these things on the personal biases of a manager, a machine learning tool that collects data surrounding an employee’s actual work prompts managers to give that constructive criticism or praise when it’s relevant and warranted.

Machine learning can help humans become better managers by removing any biases a manager might have. With machine learning, employee performance is backed up by raw, inarguable data that shows how employees are actually performing. By taking advantage of this rich repository of data, managers can better recognize which employees are achieving important goals. In turn, they can provide appropriate feedback without relying on their personal opinions.

With its ability to eliminate bias and prompt a data-driven approach to feedback and recognition from managers, machine learning can completely transform the workplace by making coming to work an engaging experience for every employee — no matter their age, race or gender. Employees shouldn’t have to worry about the personal biases of their managers. Instead, they should focus on progressing toward their goals and improving their work. On the flip side, managers should focus on giving better feedback and recognition to guide employees toward success. People management needs to keep up with today’s fast-paced digital age, and with help from machine learning technology to make humans better managers, it won’t get left behind.

Let’s block ads! (Why?)

Big Data – VentureBeat

Better, Humans, Learning, Machine, Managers
  • Recent Posts

    • Accelerate Your Data Strategies and Investments to Stay Competitive in the Banking Sector
    • SQL Server Security – Fixed server and database roles
    • Teradata Named a Leader in Cloud Data Warehouse Evaluation by Independent Research Firm
    • Derivative of a norm
    • TODAY’S OPEN THREAD
  • Categories

  • Archives

    • April 2021
    • March 2021
    • February 2021
    • January 2021
    • December 2020
    • November 2020
    • October 2020
    • September 2020
    • August 2020
    • July 2020
    • June 2020
    • May 2020
    • April 2020
    • March 2020
    • February 2020
    • January 2020
    • December 2019
    • November 2019
    • October 2019
    • September 2019
    • August 2019
    • July 2019
    • June 2019
    • May 2019
    • April 2019
    • March 2019
    • February 2019
    • January 2019
    • December 2018
    • November 2018
    • October 2018
    • September 2018
    • August 2018
    • July 2018
    • June 2018
    • May 2018
    • April 2018
    • March 2018
    • February 2018
    • January 2018
    • December 2017
    • November 2017
    • October 2017
    • September 2017
    • August 2017
    • July 2017
    • June 2017
    • May 2017
    • April 2017
    • March 2017
    • February 2017
    • January 2017
    • December 2016
    • November 2016
    • October 2016
    • September 2016
    • August 2016
    • July 2016
    • June 2016
    • May 2016
    • April 2016
    • March 2016
    • February 2016
    • January 2016
    • December 2015
    • November 2015
    • October 2015
    • September 2015
    • August 2015
    • July 2015
    • June 2015
    • May 2015
    • April 2015
    • March 2015
    • February 2015
    • January 2015
    • December 2014
    • November 2014
© 2021 Business Intelligence Info
Power BI Training | G Com Solutions Limited