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3 Technologies You Can Use to Re-skill, Your Employees

Due to the pandemic of Covid-19, the business companies changed a lot. Most people move their business online. And the requirements of employees skills vary due to these changes. So at that time all workers and employees need to re-skills in a better way.

Here are three technologies that will help all leaders or owners discover more talents and re-skill their teams. So these technologies briefly mention below, which will very helpful for all employees learning.

These are:

1.      Bias Avoidance Talent Matching

2.      Predictive machine learning.'

3.      Evolution of the current Employees 

Bias Avoidance Talent Matching

 The first tool is a matching service SquarePeg for employers and job seekers who use assessments online to measure or discover the candidate's character trait, preference, or aptitude or determine the best fit organization.

All business leaders should ask employees in their interviews about do they can solve all analytical problems? Are they interested in working in a big organization? Do they work well will all team? They don't ask them about their school or their GPA. These are everyday things. And it is possible one person that does not have too much GPA but has more ability to work with an organization.

So the platform of SquarePeg takes such preferences and psychometrics into account.

How does it work?

Through this platform, the candidates that want to get the job can take an assessment from it. And these match their skills with a position in which they can properly fit. And after the judgment, when they get results, it tells them they compared with those companies. So then they will connect to those companies for the job.

On the other side, the manager of companies hiring employees for jobs can easily select the best employees for their organization. Because these employees will those that are interested in this job and match with requirements of this organization. And it is also easy to guide these employees about all aspects of this organization. And they also should tell them about what challenges they can face during working here. So this technology is the best approach. Because all candidates not perfect for all companies or organizations. Through this technology, they can easily find which company will be best to fit correctly.

Evolving Predictive Machine Learning at the speed of organization

Pymetrics uses machine learning and neuroscience to help companies hire candidates in diversity and predictive friendly way. Pymertics candidates can encounter the first step of the application process for any company's job. So Pymetrics uses machine learning or neuroscience games to predict which candidate will fit in the one workplace.

How does it work?

Every candidate can assess about 20 minutes in games on computers and analyze like planning, risk tolerance, memory, reward and risk profile, attention, or learning style. The Pymetrics compare this data to determine that in which workplace this candidate will be fit well.

This technology especially has three cool features. These are:

·        It's adaptive and self-learning

 As the need of one organization evolves with time, this technology also can grow with it. So which type of candidate required this organization in the future it is anticipated by Pymetrics. This company will need to forward the future person and which employee will be fit for this role these all we can do through this technology.

·        It formed to be bias-free

Either we want to accept that or not, but almost all people have biases. When candidates take an assessment, they do not have a chance to coll for an interview. If we think that candidate is older, a person of color or a woman, etc. but Pymetrics work on that algorithm without biases. A candidate's physical appearance is not considered only the centered features or qualities notice to hire them for work through this technology.

·        If one candidate is not fit well for one company, it refers to him another company where he will suit better.

It is the best feature of this technology. Because if one candidate is not fit for one company, they don't need to worry. Because these also provide many other options. Or they can then try for a job in those companies.


Evolving Current Employees

The internal current operations of us need to evolve, evaluated, or invested in. The technology that can change or transform them is Riff Learning. The conversational dynamics measures by this technology or after video interactions provide feedback.

Indeed most businesses like Essay Help UK and others conduct videoconferencing with high numbers. So in this conference, the satisfaction of all participants enhance by this Riff Learning. In every meeting, even through video conferencing or with a person, the goal is to maintain this meeting's overall good dynamic collaboration. And these want an environment in which all participants of the meeting can freely share their opinions and ideas. And as a people leader, it is important to know that where this collaboration will be happening or whether or not one person discourages the others participants, either subconsciously or consciously.

The platform of Riff also has core features to make every video conferencing more productive. The Riff uses facial-gesturing and vocal activity patterns to measure participants when they are talking or measure either they agree with each other or not and their level of engagement.

Through a meeting mediator feature, ut provide honest time feedback, and it tracks the turn talking in the notes and exchange, whether this conversation is dominating one person. Once the meeting over, we can analyze our interactions and the history of our previous video conferencing interactions through the Riff.

In many companies, a significant portion added the remotely working. So this technology also beneficial for this purpose. The more talkative people they can talk freely to everyone. But less talkative people feel that there is no opportunity to share their ideas or thoughts with others. So they mostly leave this opportunity due to feeling disengaged or frustrated. These dynamics measure in real-time by Riff technology and provide the employees with the data and be aware of that behavior that will impact the collaboration. This technology also values all team member's contributions. Or by measuring engagement or participation, the team members come to rethink their aim and conversational dynamics for better or genuine collaboration.

Whatever the current status of our organization, if we used this technology correctly, it will be a powerful tool for any company or organization. However, we should use one of the best technology that we need most for every type of re-skill that we want as a business leader. And we can make a better organization.


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