Over the years, technology has become a staple in our everyday lives. From appliances to software, devices, and in the workforce, advances in technology are almost necessary for today’s modern lifestyle. The monumental shift in our economy due to the global pandemic made us even more dependent on technology. Today’s young generation grew up with it and is the primary user and the heart of the digital age—they think of innovative ideas with and through new technologies.
Artificial Intelligence (AI) is a simulation of human intelligence demonstrated by machines. When programmed accordingly, AIs can imitate human intelligence and reasoning to some extent.
There is no question that millennials are seizing on the new platforms of the digital era, and incorporating AIs in the workplace can ease a ton of employee burnout influenced by excessive workload and work-life imbalances.
Here are some areas where AI Able To Help Increase Employee Productivity:
Automating repetitive work, usually characterized by redundant and monotonous tasks, can be programmed for the AI to carry out instead. When appropriately configured, AIs can effectively execute vast amounts of data with precision. It can help boost employee productivity by taking off “low-value” work and mundane duties, allowing employees to focus on more important tasks without affecting the overall workflow, and serves as an additional labor force working as a team player.
Several fields benefit from the use of automation. In engineering and production, the preprogrammed machine use governs the manufacturing and delivery process; in e-commerce and marketing, AIs execute data gathering and analysis instead of manually going through thousands of information. Educational systems can also benefit from automating tuition fees and Income Share Agreements, which are highly beneficial for students who can only afford deferred payments.
However, the disadvantages of automation are when data outside the AI program is highly variable or if data not present in the program appears. Human supervision is still necessary in case some changes are needed to be done manually. Many robots also replaced actual humans in the workforce, especially in production, causing unemployment and lay-offs.
Data Gathering & Analytics
Since AIs can gather and access numerous data based on specific parameters, businesses can use the information and make a comparison without spending too much time and resources. Data gathering can be extra challenging, especially for remote teams working within the same task. Deduplicating can be an additional task on top of looking for leads.
Gathering several data and analyzing them can help provide insight into your customers’ demographics, behaviors, and buying patterns. From these results, AIs can predict what works and what probably would not, preventing you from wasting time on the minors and get you straight to where the potential opportunity is present. The results may serve as a basis for strategic planning and decision-making or give your business a competitive edge.
When customers have a question about your business, they must receive a prompt answer. The fast response shows them that you received their concern and that you care. Millennials, generally, have shorter attention spans, and this is where chatbots come in handy. These bots can perform different tasks, from scheduling meetings, providing product information, and answering customers’ concerns. Preprogrammed to answer the most basic queries, they significantly reduce the need for human chat support by filtering the common questions, leaving the more complex ones that require human judgment. The company can use the extra costs saved elsewhere.
Mobile & Web Applications
The most popular AI in mobiles is an intelligent assistant, like Siri and Alexa, that can solve everyday tasks. However, AI is not limited to assistance; it’s present in almost all applications we use. Used by various mobile app developers, they aim to take advantage of AI to improve user satisfaction.
Based on the idea that machines could learn and adapt through user’s experience, machine learning includes automatic address recognition and mail sorting carried out by neural networks. It offers a realistic and personalized interaction based on the user’s likes, tailored specifically for the consumer’s needs and wants, e.g., Netflix’s Smart Suggestions.
If you’re reading motivational quotes, you may receive or see similar quotes the next time you browse. Other examples include biometrics, face, voice, and text recognition. The keywords you type on search engines are stored and are used to customize the ads you see. If you search for gigster opportunities, you will see similar sites offering the same services in the ads.
The AI-powered crime analysis tool was first used in “predictive policing” or the strategic deployment of the police force in areas that are high risk, e.g., public airports, to predict when terrorists or other threats will strike.
In privacy protection and cybersecurity, AI’s threat intelligence can recognize potential harms by detecting and identifying patterns seen from the past. The threats are filtered and compared with the existing variants. Cyber attacks from hackers wanting to steal personal and confidential information are dangerous. The stolen data, then, can be used in identity theft or scams. Since some cybercriminals are funded and can operate 24/7, AIs can protect your business while you’re away or asleep. AI’s can also instantly spot and fix any malware on a network, guide incident response, detect intrusions and prevent them from incurring further damage.
When programmed correctly, AIs can answer questions, troubleshoot problems, and protect your personal (or company) information from hackers. AIs or bots are helpful tools that can do redundant tasks for employees and help them focus on the more essential duties. Scenarios such as going through numerous data being too overwhelming can result in human errors or manual labor in production slowed down due to fatigue and loss of strength.
Using bots may be a smart move since a machine can’t make deviations from its programmed task. On the other hand, AIs may poorly handle queries from customers with personal requests or unique concerns since these were not included in the algorithm. The strategic use of AI technology alongside human supervision can produce superior results compared to using only either.
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