We all know how the Internet of Things has made it possible to turn everyday devices into raw data sources for analytics to create business insights. It has also been observed that artificial intelligence (AI) has made workplace analytics more productive and efficient.
The enterprises expect that more data will be generated in the coming years than the data generated over the years.
It is believed that AI has now begun to enter the workplace and corporate firms and this change has forced leaders to rethink their business processes and functions. Nowadays, startups are adopting AI technology to reduce manpower, increase work efficiency and save time. AI can create insights, provide remote and virtual support, and analyze the structural data produced by everyday devices. Experts predict that more than 20182 percent of companies will somehow start implementing AI applications by the end of 2018 and a big reason for this is that AI has provided a lot of benefits to the enterprise.
According to a Demand Base survey, about 80 percent of decision makers predict that AI will revolutionize marketing by 2020.
With neural networks including AI there is no time for diaphragm isolated data and make sure there is a perfect solution at the fingertips of the decision maker. The data generated is constantly being updated, which means that machine learning models will also be updated at regular intervals. Enterprises will be able to access up-to-date information – groundbreaking insights – that can be effective for quickly changing the business environment. Here are three key ways in which AI benefits the workplace:
1. Quick decision with more confidence: What would you do first if something went wrong with your industry’s production center? I am sure that most of the employees working at this plant will remain unmoved. In this case, the AI helps the maintenance team to decide with confidence what to fix first, as the AI will automatically align the decision-making process for the maintenance team.
2. Access to Insights from Big Data: An exciting opportunity after implementing AI in your workplace is AI’s ability to recognize and understand the patterns that people can’t in BI data.
3. Sensitive data protection: AI enables people to eliminate errors which in turn helps to improve output quality and strengthen cyber security.
After the deployment of AI, a noticeable difference in the role of staff was observed. There is a greater focus on data automation and scale data to facilitate better decision-making in the management and implementation of strategic initiatives as well as analytical tools.
Let’s see how AI improves the work landscape:
Technology Creating new technology-related jobs: In fact, a report predicts that the demand for AI-skilled workers will increase over the past few years. When there is a shortage of job seekers who can meet this requirement, the skills become more valuable to their employers.
Busy uses machine learning to reduce busy work: Automation allows employees to free up their time for other necessary tasks by completing their mission critical tasks. According to a Digital Ocean report, 26 percent of developers are using AI-based tools in their work processes and about 81 percent are interested in being educated about automated tools.
Automation Helps Prevent Workplace Injuries: A study by Injury Claims Coach predicts that a lot of damage can be reduced by applying automation in the workplace. The same study further found that in 2016, about 5,190 workers died due to workplace injuries. By 2030, about 14 percent of automation could save an estimated 3,500 lives each year. Hence, instead of thinking about how AI is getting a job, it’s time to think about how much risk people don’t need to do.
These are just some of the goal setting shareware that you can use. What is your idea about AI? Have you already applied it to your organization?