With the IoT industry forecasted to grow to a staggering $1.7 trillion by 2020, it is no secret that this technology has already infiltrated the majority of industries. 

IoT has a natural and profound impact in one sector:  education– with many universities and schools beginning to implement IoT into their learning methods and study programs already.

What is the Internet of Things?

The definition of ‘Internet of Things’ can vary, but it essentially refers to the connection of everyday objects or ‘things’– with wireless capabilities, to the internet. This allows data to be collected and shared between ‘things’, without requiring input.

Educational benefits of IoT

An intelligent environmental control system could monitor occupancy and regulate heating and lighting accordingly. For example, lights might only switch on when someone enters a room , or smart bins that can let students know when they are due to be emptied.

In addition, IoT can improve the safety of students and staff by equipping school buildings with sensors that detect the location of people within them, for example. In a similar vein, it can also be used to keep track of student attendance in real-time via an app or online portal.

It can also be used to enhance existing learning experiences. For instance, it could be used within lessons that focus on history or art to provide opportunities for students to interact with objects that they might not have had access to otherwise.

Connected Classrooms

IoT technologies can automate many aspects of a classroom, such as lighting or ventilation, depending on the time of day. 

Students in classes may also be provided with IoT based features that help them learn more efficiently. For example, an IoT enabled smart board could provide students with additional information.

IoT Enabled Campuses

The University of Surrey is currently building an ‘Internet of Things’ campus that will provide IoT enabled features to its students.

These include intelligent floor sensors that detect movement and turn off lights– if there are no people nearby, and smart bins that let students know when they are due to be emptied.

Support Benefits Claims

The Department of Work and Pensions has announced that it wants to use IoT technologies to provide an efficient service to allow students with disabilities access the benefits they are entitled to. 

With this in mind, they have also stated that they want their service to be accessible to students with sensory impairments, including visual and hearing impairments.

Reasons to be Concerned About IoT in Education:

Although the possibilities that IoT creates are numerous, they do not come without their problems.

The students may struggle to engage with learning if they are more interested in the connected objects around them than what is being taught in lessons. 

In addition, increased reliance on related technologies may encourage an insufficient approach to learning, where students rely too heavily on the technology.

How Is This Being Applied In Education Today?

At present, the full potential of IoT in education remains largely untapped. However, there are already many cases where it is being employed to significant effect. 

For example, Philips Lighting has created an educational program that uses connected lighting systems to teach students about sustainable development. Similarly, Whirlpool has launched a program that allows students to learn about robotics, programming and 3D printing by creating connected devices.

From simple classroom-based initiatives like the introduction of smart boards to large-scale rollouts that see entire school districts equipped with interconnected devices, IoT’s potential is only limited by the scope of the imagination.

How Much Does It Cost?

Connected devices can be expensive, primarily if they are intended for use in an educational environment. However, the initial purchase cost is offset by the potential savings that can come from implementing IoT systems, via lower energy costs and better school facilities management. For instance, the total cost of ownership (TCO) for an IoT enabled system is up to 35% lower than a conventional system or up to 40% higher than non-smart systems.

Other expenses may include the costs associated with developing and implementing specific applications that utilize IoT features, such as increased bandwidth use and security monitoring.

Conclusion:

IoT has great potential, but more needs to be done by both teachers and manufacturers if IoT in education is to become a reality. The possibilities of IoT in education are almost limitless, and it can help deliver new opportunities for students of all ages and abilities.

The chances are that you’ve heard about IoT and know that it’s becoming increasingly common in today’s society. Still, you might not be clear on what this entails and why it is important to consider when implementing new projects within your company.

If you’re here, I’m assuming that you already know what the Internet of Things (IoT) is all about: connecting your physical devices to the Internet. After that, it’s up to you how this connection can best serve your individual or company’s needs. 

As one of the fastest-growing technological fields, IoT has become popular among all kinds of companies. But, as with every new trend, there are steps to take beforehand to ensure its success. For instance, if you’re still thinking about communicating with your devices and collecting the data generated, you might not be all set for IoT implementation yet.

10 Key Considerations When Implementing IoT

Prior to beginning an IoT project, there are a few things to think about:

1: You Must Have The Correct Tools

It’s a must to have the right tools in place for a successful IoT implementation. IoT is all about interconnecting devices and sensors, so it’s important to have a platform to manage this connectivity while generating insights from the data collected.

2: Understand Your Needs

It’s important to understand your needs– do you want to detect problems in certain areas or gather information about what may be going wrong? Whatever the case may be, make sure that you understand exactly what you want to get out of your IoT project before moving forward.

3: Prepare For The Future

If IoT is a new department or division within your company, how do you envision its development over the next few years? Before you get your project started, it’s important to think about the future and plan accordingly.

4: Keep Security In Mind

IoT connectivity management should always be cautious about security. This is especially true when considering cloud-based platforms that may have sensitive data flowing through them.

5: Prepare For Operational Challenges

Some IoT projects come with their own unique set of problems. As such, you’ll need to prepare for challenges like facing large amounts of data coming in, potential connectivity issues, or even possible performance problems with devices.

6: Find A Skilled Partner

Having a skilled partner for your IoT implementation is crucial. A skilled partner will not only be able to help you solve technical problems during the project, but they can also save you time and money in the long run with their experience.

7: Make Sure Your Employees Are In The Loop

If you want the implementation of IoT to be a success, it’s important to get your employees involved from the get-go. They have valuable knowledge and skills that can allow you to create a better system.

8: Keep Up With Industry Trends

Making sure that you’re up to date with industry trends is extremely helpful in the long run. So, this way, you’ll be able to see what other companies are doing and discover new ways of utilizing IoT for your business.

9: Always Test Your Systems And Devices

Before you implement any type of system, make sure to test it at a smaller scale first. This will help you determine if the IoT connectivity is working properly and give you an idea of how your employees will use the system in the future.

10: Start Small And Have Patience

It’s always best to start small and have patience while your IoT implementation takes shape. Don’t try to do too much at once, or you might run into some issues down the road.

Conclusion:

You will see that there are many important things to consider before starting your own IoT implementation – not just when it comes to hardware and connectivity management but also with issues like security and the future of your project. There’s a lot to keep in mind!

However, these challenges can be met head-on with the right tools and knowledge as you move through the implementation process. If you’re not certain where to start or how to go about implementing an IoT system, it could be a good idea to work with a partner that can guide you through the process.

A lot of companies have started harnessing the potentials of machine learning to create a better customer experience. A great way to understand machine learning is that it’s the science behind machines getting more competent as they gain more experience with data provided to them.

Understanding this concept in layman’s terms is relatively easy, but if you’d like to know more about its technical aspects, you can read up on this machine learning tutorial here.

Any company’s success is its ability to set terms, which means that artificial intelligence learns from its environment and can make accurate predictions and give solutions.

What is Machine Learning?

Machine learning is an application of artificial intelligence that enables computer programs to become more accurate in predicting results without being explicitly programmed. It’s a subset of artificial intelligence, so it’s based on algorithms created using AI techniques. 

But why is this relevant to your company? Machine learning can help you in a variety of ways, 

such as:

  1. Producing Predictions and Precise Forecasting

A computer program using machine learning algorithms can process large amounts of data useful for decision making. More often than not, the results are more precise and accurate than those that humans can produce by themselves.

  1. Real-Time Analysis of Data

Machine learning abilities allow users to process information as it comes in instead of on a batch basis. For example, a computer program can record sales data in real-time and then run the numbers against history to predict future results. This approach is often better for business operations.

  1. Identifying Patterns That Exist within Data Sets

Machine learning algorithms are sophisticated enough to recognize trends or patterns within large datasets. Some businesses have already harnessed the power of machine learning.

Three Ways Your Business Can Use Machine Learning

  1. Improve Conversion Rate for Website Visitors

One application of machine learning is to track user behaviour on websites through each stage of a conversion funnel. By analyzing the individual characteristics and patterns in visitor behaviour, businesses can provide visitors with relevant content at each location – to increase sales conversions or get them through the lead generation funnel faster. This leads us directly to the following use case for machine learning.

  1. Personalize Recommendations for Customers

Every marketing campaign or customer interaction presents an opportunity to add value through a personal touch; machine learning can provide insights into what content and products a customer will most appreciate, based on their past behaviour with your company. This approach can drive better conversations between employees and customers that produce more meaningful results.

  1. Predict the Future

Machine Learning algorithms have evolved well beyond “If this happens, we’ll do this” scenarios; they can now predict future events based on existing data patterns. This predictive analytics capability is not limited to just understanding individual circumstances (like predicting when customers will churn) and serves as the foundation for so-called ‘smart’ business applications.

How Can You Leverage Machine Learning For Your Business?

You can build, test, and deploy predictive models to drive critical business decisions more accurately than traditional approaches with machine learning. Using this information allows companies to:

Target Marketing Campaigns

Personalized marketing campaigns are the future of business; they allow companies to engage with customers one-to-one. Machine Learning algorithms can help you solve the problem of personalization without relying on an army of data analysts; it will be possible for your company to uncover what content or products your audience needs – at any given point in time. This is particularly important as new customers enter your funnel from different sources, and you want to ensure that you don’t miss out on potential opportunities.

Improve Customer Experience

AI algorithms can help you mine data; as a result, it’s possible to identify trends and patterns of habits that will allow for better decision-making about the products or services that customers are seeking. AI tool sets allow business owners to identify these problems and solve them before leads leave their pipeline. 

Last Thoughts

The most important thing, though, is understanding the business case for a machine learning project. As with any investment in technology, this approach needs to improve operations and provide meaningful insights that will enhance customer experience.

Next time you’re considering an AI initiative, remember these five key steps:

  • Define your objectives.
  • Select the correct data.
  • Ensure the team has the right blend of skills.
  • Stay on top of market trends.
  • Invest in toolsets that help put these capabilities into production faster.