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A Guide to IoT Monitoring in 2024: Pros, Cons & Importance

Cem Dilmegani
Updated on Jan 10
3 min read

IoT Monitoring (IoTM) is the process of discovering, evaluating, monitoring, and managing the devices that are connected to the internet. It allows for the real-time overseeing and data collection of the interconnected devices’ functionalities, performances, and troubleshooting. IoTM, if properly maintained and regulated, will aid businesses in achieving a higher efficiency rate, by notifying them of probable performance gaps and possible disruptions through the presentation of data. However, IoTM is not without its challenges, such as monitoring large swaths of data, emerging security threats, and integrating new devices into an already-elaborate system.

Internet of Things (IoT) refers to IoT devices that are interconnected with each other through embedded software, sensors, or other related technologies. They enable the collection and the sharing of real-time data and can help increase efficiency.

In Copenhagen, for instance, after the installation of smart sensors in waste bins, the researchers concluded a statistically significant improvement in waste collection efficiency. The latter was achieved by garbage collectors monitoring the waste level of each bin in a county through embedded sensors, and only picking them up after their content reached the desired threshold. In that manner, the monitoring of waste levels helped garbage collectors avoid unnecessary trips and consequent re-routing.

But to take advantage of the data, systematic monitoring and data collection is paramount. This is where IoTM comes into play.

What are the benefits of IoT monitoring?

IoT Monitoring analyzes data, tracks performance, and helps with troubleshooting. Through constant monitoring of the devices’ health and functionality, and collecting and presenting the relevant data, IoTM will supply the user with actionable insights.

As a modern company grows in size, depth, and functionality, so can its IoT infrastructure, and with it, the torrent of collected data the management has to sort through. IoTM will allow for a comprehensive view of the model’s health, aid in performance analysis, and ensure day-to-day business continuity. For example, if there is to be an outage, it can either be preemptively mitigated, or it could be resolved quicker, as the data will pinpoint specific performance gaps.

Workplace examples of IoTM

Data security software, inventory management applications, supply-chain monitoring systems, KPIs, website traffic indicators, security cameras, and even smart coffee-makers are amongst the common IoT devices used in the workplace today.

For example, IoTM will help notify a coffee-roasting lab if its vendors are running short on supply. It can also make sure of the security of the employees’ insurance and pension data in the database. The former will take place through utilizing inventory management applications, while the latter can happen through cyber security software. All these are IoT devices, that when complemented with IoTM, can help a business to navigate its way through.

What are some of the challenges that face IoT monitoring?

The following are some of the challenges that a business might face with its IoTM:

  • Scalability: The year-on-year estimated growth of IoT devices is 9%. That means each year, a growing business will not only spend in more IoT infrastructure, but will also have to allocate more time, money, and energy on monitoring the data.
  • Speed: Taking the appropriate actions to remedy the performance gaps is time-sensitive. This can be challenging especially in a larger scale.
  • Security: Each new IoT software or device implies a new security liability. Parallel to investing in new IoT infrastructure, companies should also invest in up-to-date security monitoring software that would protect them against hackers.
  • Integration: If there are any overlaps in the devices’ functionality, adding and integrating a new device into an already-existing system might pose a challenge and require reconfiguration.

For more on IoT

To explore IoT in more detail, feel free to check our articles:

To explore how AI can improve IoT, feel free to read our article on AIoT: When AI meets the Internet of Things (IoT): In-depth Guide.

And if you believe your business will benefit from an IoT solution, feel free to scroll down our data-driven list of IoT software and tools.

And we can guide you through the process:

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Access Cem's 2 decades of B2B tech experience as a tech consultant, enterprise leader, startup entrepreneur & industry analyst. Leverage insights informing top Fortune 500 every month.
Cem Dilmegani
Principal Analyst
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Cem Dilmegani
Principal Analyst

Cem has been the principal analyst at AIMultiple since 2017. AIMultiple informs hundreds of thousands of businesses (as per similarWeb) including 60% of Fortune 500 every month.

Cem's work has been cited by leading global publications including Business Insider, Forbes, Washington Post, global firms like Deloitte, HPE, NGOs like World Economic Forum and supranational organizations like European Commission. You can see more reputable companies and media that referenced AIMultiple.

Throughout his career, Cem served as a tech consultant, tech buyer and tech entrepreneur. He advised businesses on their enterprise software, automation, cloud, AI / ML and other technology related decisions at McKinsey & Company and Altman Solon for more than a decade. He also published a McKinsey report on digitalization.

He led technology strategy and procurement of a telco while reporting to the CEO. He has also led commercial growth of deep tech company Hypatos that reached a 7 digit annual recurring revenue and a 9 digit valuation from 0 within 2 years. Cem's work in Hypatos was covered by leading technology publications like TechCrunch and Business Insider.

Cem regularly speaks at international technology conferences. He graduated from Bogazici University as a computer engineer and holds an MBA from Columbia Business School.

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