Justin Osborne

For example, there is a video explaining how Google funds the creation of robot journalists. On the other side, JPMorgan has begun to automate the work of its law firms using machine learning, thus cutting more than 360 thousand man-hours.

Although it sounds terrifying, the truth is that AI simply cannot replace the majority of human workers because it’s not as advanced as many people believe it to be. As a matter of fact, it turns out that smart robots are clever enough to augment our businesses without jeopardizing the actual jobs.

How come? Let’s see seven practical examples in the following chapter!

7 Ways Robots Augment Our Work

AI can have countless business applications, but we decided to analyze the seven most popular use-cases. Here they are:

1. Customer service

Customer service often encompasses a broad scope of boring, manual, and repetitive tasks, which is exactly where AI excels. Thanks to smart chatbots, human agents don’t need to perform so many annoying activities anymore, but rather focus on building stronger relationships with customers.

For example, UK Essays relies on chatbots to speed up communication, keep track of all interactions, and simplify user analytics. This leaves more than enough time for human representatives to concentrate on the most challenging inquiries.

2. Cybersecurity

The number of malware attacks keeps growing daily. Cybersecurity specialists cannot work around the clock, which gives hackers the opportunity to breach security systems and place malicious software.

Jake Gardner, a tech analyst at the essay writing service, says this is where AI steps in to help digital security experts: “AI-powered platforms are fully operational 24⁄7 as they take no rest, sick leaves, or days off. In such circumstances, cybersecurity specialists earn more time to test new defense mechanisms and improve digital safety platforms.”

3. Logistics and inventory management

Do you know that the expected value of the global smart transport market should reach $5 billion in 2020? It’s a staggering figure that proves the impact of AI on logistics, shipping, and inventory management.

AI is much better than humans at making data-driven assessments and creating optimal routes for millions of vehicles worldwide. However, robots cannot replace humans as the latter make final decisions and prioritize actions. The two parties have to establish close cooperation in order to maximize the productivity of their companies.

4. Risk management

Banks and other financial institutions are always in fear of crafting inaccurate evaluations and giving loans to risky clients. Once again, AI is able to augment the process by calculating hundreds of variables quickly and effortlessly.

It’s a process that completely changes risk management, but it doesn’t jeopardize the position of any agent whatsoever. The only thing that matters is that risk managers can now bring data-driven decisions instead of relying on their guts or dubious client-related insights.

5. Human resources

A typical recruiter wastes 14 hours per week completing tasks manually. It’s a serious setback that deteriorates productivity, but AI can cope with it through automation.

Intelligent HR platforms are able to source applicants and review their resumes within seconds. They also eliminate unconscious bias from recruiting, thus making the whole process smoother and more objective.

In the meantime, HR managers can use such insights to create thorough assessments of each candidate individually and spend more time investigating the most promising talents.

6. Digital marketing

Every time you see a personalized product recommendation on Amazon or a customized travel arrangement on your favorite website, remember that it’s just AI doing its thing.

Smart machines are extremely good at analyzing huge data resources, so it’s only up to digital marketing managers to create appealing copies and convince potential customers to engage. AI does not eliminate marketing positions, but it does help human agents to craft better and more compelling content.

7. Healthcare

Almost every healthcare system in the world is crowded and in need of additional doctors and technicians. This is never going to change, but AI can at least provide some help to relax overloaded healthcare providers.

The key categories of applications involve diagnosis and treatment recommendations, patient engagement and adherence, and administrative activities, but many more use-cases are expected to emerge in the years to come.

The Bottom Line

The AI revolution is not a novelty. It has been there for a while already and it is most certainly reshaping the business world as we know it. However, it doesn’t mean intelligent robots will steal our jobs anytime soon.

On the contrary, AI is going to help us improve operating processes, so the only thing that matters is to learn to stop worrying and embrace the benefits of smart machines. As soon as you embrace this kind of mindset, it will be easier for you to adapt and improve your professional performance.

About the Author:

Justin is a marketing specialist and blogger from Leicester, UK. When not working and rooting for Leicester FC, he likes to discuss new trends in digital marketing and share his own ideas with readers on different blogs and forums.

By definition, big data is a field that treats ways to analyze, systematically extract information from, or otherwise deal with data sets that are too large or complex to be dealt with by traditional data-processing application software. If you think it’s not a big deal, think twice as each person in the world will be producing 1.7 megabytes of data every second throughout 2020.

Jake Gardner, one of the best big data essay writers at the research paper writing service, says that everything you, your colleagues, and your students do these days leaves a digital footprint: “It’s a lead that can be traced and evaluated with the purpose of making better and more accurate professional decisions.”

According to the report, companies that harness big data’s full power could increase their operating margins by up to 60%. Another study reveals that businesses using the power of big data grow revenue by up to 10%.

The benefits for the business are more than obvious, but how will big data impact the education industry? That is the question we are about to answer in the next chapter.

How to exploit big data to improve education?

Big data is a complex process that comes with many different functions and features, so it’s almost impossible to name all the advantages it can deliver to the academic community. What we can do, however, is to present you with the four most important benefits of big data in education. Without further ado, let’s check them out here.

1. Big data identifies issues and answers difficult questions

As a manager or decision-maker, you might feel overwhelmed by the sheer number of problems and dilemmas requiring quick resolution. Some issues require instant resolutions, but you simply cannot achieve that single-handedly.

This is where big data steps in to save your day. Namely, the system is super-successful at drawing meaningful conclusions out of seemingly unrelated concepts, facts, and insights.

Jake Gardner, one of the best big data essay writers, explains how it works: “Instead of wandering around helpless looking for the light at the end of the tunnel, you can use big data to analyze the entire history of activities and discover the cause of a given problem.”

For example, your academic institution might be facing a lack of interest and enrollment. In such circumstances, big data will help you to identify the main cause of the problem – no market need for this particular skill set, underperforming professors, and so on.

2. Big data saves operational resources

How many times have you and your colleagues lost entire days working on boring reports, presentations, and analyses? It’s a common issue among education professionals, especially decision-makers, but you can avoid it using big data.

The platform allows you to save operational resources and become much more productive in the long run. First of all, it saves the time you and your teams are spending working on manual and repetitive tasks every week, month, and year.

Secondly, big data also helps you to cut costs since you can hire fewer employees to do the same job just as efficiently. Besides that, each member of the team can focus on more creative aspects of the business and start giving a greater contribution through well-planned and properly executed initiatives.

3. Big data improves student performance

One of the most important reasons for incorporating big data into education is that it leads to the improvement of student performance from a long-term perspective. Nothing can replace good old assignments and exams, but big data can analyze the factors surrounding these two features to understand how students react to your tests.

For instance, the platform based on big data is capable of analyzing the time students take to answer a specific question. It can also learn more about studying materials that young scholars use to prepare for exams.

All these inputs are essential if you are trying to assist students in enhancing academic results and achievements. But without big data, most of these insights will remain hidden and invisible.

4. Big data predicts trends in education

The last benefit of bringing big data analytics into education is very important as it can help you to predict future trends and react on time by changing your way of work. Namely, big data is able to analyze enormous datasets in real-time, thus making it possible to understand the forthcoming needs of your students before they even ask for it.

That way, you can prepare in a timely manner and answer their needs as soon as they start looking for alternative services. For instance, you can use big data to make labor market predictions and promote courses that focus on the fastest-growing industries out there.

Another use-case includes community colleges. Community college students are usually people in their 30s and 40s, so they have to make a fine balance between professional, personal, and academic commitments.

With big data at your disposal, finding the most suitable schedule and the best model of learning should not be a problem for you and your academic institution.

The Bottom Line

You can find tons of information everywhere within your academic community, so make sure to collect and interpret relevant data in order to improve professional performance. In this article, we discussed the concept of big data and showed you four practical benefits of incorporating that kind of analytics into education. Now it’s your turn to step in and take advantage of this amazing opportunity!

Justin Osborne is a writer at resume services and uni assignment help, he loves to share his thoughts and opinions about education, writing and blogging with other people on different blogs and forums. Currently, he is working as a content marketer at paper writing service.