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Machine Learning Can Change Your Workspace Featured

The leading organizations today are using artificial intelligence and machine learning technologies to enhance their operations in different ways. These two technologies promise to help transform workplaces by automating work and guiding business executives in their decision-making responsibilities. Furthermore, it will improve the efficiency of staff and enhance their productivity. Data visualization ability using AI and 3D applications has been one of the key areas when it comes to machine learning. It gives clarity to workplace planning and offers profitability for companies, especially in production and marketing. The competitive nature of modern workplaces demands that they adapt and work smarter. Machine learning and AI will augment jobs and make work more interesting and attractive. However, it will also displace some people and create new jobs. Some of the uses of machine learning and AI in workplaces include the following.

  1. Finding and hiring new staff

Machine learning and AI improve the hiring process. With this technology, human resource managers can quickly identify the right talent from a large pool by analyzing millions of profiles and resumes and detecting potential candidates for the job. AI can then interact with the candidates engagingly to identify the candidates that are best suited for the job. Arya is one of the companies that offer intelligence to organizations on the right talent. Once you have a list of potential candidates or a group of candidates that fit the job description, AI can assist you to pick the right ones for your organization.

  1. Machine learning and workplace training

Employee training is one of the areas that are central to the performance of the business. Although this area is critical to the performance of an organization, conventional methods have been used for decades to train staff. Some of these approaches are not effective. However, with the advances in AI and machine learning technologies, the training of staff has received a boost. Although the traditional training approaches made a huge impact, about 74 percent of staff do not feel that they are reaching their full potential at work.  With the global pandemic that has affected face-to-face training, machine learning and other online-based approaches are critical.

  1. Intelligent reporting

Aside from being used in hiring remote workers, AI can be useful in improving remote work itself. It can help remote workers save time by automating admin tasks that would normally have to be completed manually. Furthermore, it enables telerobotics (machines remotely operated by humans). These robots can completely change the workspace, especially when they are integrated with virtual reality (VR). This technology can enable employees to work from home.

  1. Employee productivity

Every organization seeks to earn the maximum profit using minimal resources, including employees and finances. Sadly, this is easier said than done. However, with the help of software and automation software, managing multiple tasks in the office can be achieved with ease. Companies are adopting centralized cloud-based AI systems that will help in establishing an employee-friendly environment. Machine learning and AI-enabled robots are helping employees finish their tasks quickly and with minimal costs compared to traditional methods.

  1. Marketing automation

According to the Digital Marketing Institute, most business leaders (97%) believe that the future of marketing is made up of marketers and machines that work together to improve business outcomes. Companies are nowadays using machine learning to identify and target new audiences, reach customers and find new ones. These are the tasks that were once done manually, ending up being slow and ineffective. However, thanks to machine learning, these tasks can be done efficiently and time can be saved. Some tools can streamline how you find and message prospects after analyzing the existing data.

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Scott Koegler

Scott Koegler is Executive Editor for PMG360. He is a technology writer and editor with 20+ years experience delivering high value content to readers and publishers. 

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