Hiring the wrong individual or placing a good candidate on the wrong team holds dire consequences for organizations.
PPI evaluates, improves a company’s workforce, brand and culture by revealing the personality traits and sentiment buried in human expression.
With PPI, savvy organizations can make better hiring decisions, reduce employment attrition and improve workplace culture.
Hiring the right talent and personality for a job is vital for employees — and employers — to be engaged and happy in the workplace, yet it can be hard to know when the person and position are perfect for each other. According to a Forbes article, artificial intelligence (“AI”) technology may be just what companies need to make those types of decisions (https://ccw.fm/v6E9X). That’s good news for DigiMax Global (CSE: DIGI) (OTC: DBKSF), an artificial intelligence technology and services company, whose Projected Personality Interpreter can be effectively used by employees to identify the ideal employees.
“Hiring the wrong individual or placing a good candidate on the wrong team holds dire consequences for organizations, including lost productivity and diminished workplace morale,” Forbes reported. “According to the State of the American Workplace report by Gallup Inc., 51 percent of American workers are ‘not engaged’ in their work and an additional 16 percent are ‘actively disengaged’ in their work.
“This dissatisfaction adds up to real money for corporations with Gallup estimating that an actively disengaged employee costs their organization $3,400 for every $10,000 of salary, or 34 percent. Furthermore, in hot job markets, such as the technology sector, employers are also spending heavily on additional benefits such as meals, transportation and fitness facilities. Even with these perks, turnover is high.”
The article went on to discuss DIGI’s Projected Personality Interpreter (“PPI”), originally conceived and launched by Darwin Ecosystems, a company that was acquired by DigiMax late last year (https://ccw.fm/3FLhB). Based on the Darwin Analytics Engine, PPI evaluates and improves a company’s workforce, brand and culture by revealing the personality traits and sentiment buried in human expression (https://ccw.fm/dK9GX).
By leveraging IBM Watson and a customer algorithm that analyzes applicant responses across 52 different traits and compares those scores with a baseline, PPI can provide HR personnel with complete information that supports and guides decision making and removes bias. With PPI, savvy organizations can make better hiring decisions, reduce employment attrition and improve workplace culture.
“Employers can leverage the PPI service to understand if a job applicant has the right mix of personality traits for the role or to work within a specific team,” the article continued. “While many interviews focus on communications skills and previous work history, the PPI measures personality traits such as curiosity, susceptibility to stress and self-discipline levels. In a world that focuses on interviewing for the ‘hard skills’ of a job such as technical proficiency and metrics, it’s been difficult for companies to define interview protocols that uncover skills such as a sense of ethics, cautiousness and cooperation levels.”
Employers aren’t the only ones that can use PPI. The platform is available as an app, enabling users to identify the personality projected by their social media footprint as well as blogs and web pages. Users can even submit student essays, research papers, work reports and executive summaries to measure the personality traits projected (https://ccw.fm/fRX33).
DIGI is an official IBM Watson partner, reselling or embedding Watson into applications and solutions that it offers. In addition to its deep expertise in AI, DigiMax’s engineering team boasts extensive experience in other key elements including machine learning, neural language processing, big data and cryptocurrency technology.
For more information, visit the company’s website at www.DigiMax-Global.com.
NOTE TO INVESTORS: The latest news and updates relating to DBKSF are available in the company’s newsroom at https://ccw.fm/DBKSF
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