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4 Questions to Ask Before Adopting the Internet of Things

Saba Anees

The Internet of Things (IoT) is about connecting virtually any “thing” or machine. They could range from personal wearables to smart homes, smart cities’ infrastructure, utilities, transportation, and manufacturing. The IoT is far bigger than the Internet of people, and it’s growing fast. Gartner says the IoT will grow 30 percent in 2016, reaching 6.4 billion devices, with more than five million new devices connected daily. It’s expected to continue growing to 20.8 billion devices by 2020.

You already see the potential of adopting an Internet of Things model into your enterprise, but are you doing it in the best way? The following are four questions you and your team should be answering to determine how to find the right opportunity in the IoT space for your business.

1. What is the Internet of Things?

First things first. Defining the Internet of Things, and establishing its context to your framework is instrumental in determining your potential with IoT. Gartner defines the IoT as “the network of physical objects that contain embedded technology to communicate and sense or interact with their internal states or the external environment.” Verizon identifies three characteristics of IoT devices:

■ Aware: The devices include sensors that report information about their surroundings.

■ Autonomous: IoT devices are connected and automatically transfer information to a central location or application for processing.

■ Actionable: The information collected is integrated into business processes for decision making.

2. Is your software configured to connect with the IoT?

Talking about the IoT in terms of things makes it sound like the IoT is all about physical hardware. While the IoT doesn’t exist without sensor-based devices, the devices don’t actually function without software. Most IoT devices have a user interfaced website or smartphone app where the user can manage configuration settings and review activity. Some IoT devices have more sophisticated analytics that gather big data and crunch the numbers to make decisions about what the device should do or present insights to business management.

While building the software that runs on a device may require specialized skills for embedded programming, the backend processes are conventional software applications with common software development concerns, including performance and ease of use. The usual security concerns around software become even more important with the IoT, as software controls devices in the real world and security failures can impact physical systems.

3. Do your team’s technical capabilities scale with the needs of the IoT?

Technology developments now make dealing with the technical challenges of IoT devices easier. Platforms like Raspberry Pi provide low-cost boards equipped for IoT development. Low-power sensors and new low-power communication technology, such as LoRa, mean the limited power available to IoT devices does not limit functionality. Sensors and circuits are shrunk to the point that they fit into devices a person is willing to wear.

On the software side, companies have made platforms to create a standardized environment for IoT development. Applications can use RESTful APIs or lightweight protocol, which were designed to work where memory and network capacity are limited.

Both Amazon Web Services and the Google Cloud Platform offer features explicitly intended to meet the needs of IoT applications, including both real-time communications with IoT devices and performance of the big data analytics necessary to make sense of data once it accumulates. Combined with the hardware platforms, these services make it easy to get started prototyping a device and its software. Because prototyping platforms are scalable, if an idea is not successful, it is easy to continue developing it and create a robust product without throwing away the work that was already done.

4. How does it create a ROI for your business?

Customer-generated data collected by IoT devices offer companies insight into customer behavior and create additional selling opportunities. They provide an in-depth insight that provides opportunity for companies to forecast everything from product roadmaps to market leverage. There are four main kinds of benefits for businesses:

■ Improvements in operational efficiency and asset utilization: Companies gain the ability to manage equipment remotely and schedule preventive maintenance to eliminate downtime. The IoT can also help with optimizing supply chains and loss prevention.

■ An outcome-based business model: The tracking and monitoring enabled by the IoT lets companies change the way they sell equipment. The use of sensors allows them to sell based on usage and quality level, allowing capital goods to adopt the “as-a-Service” model that’s become popular for software.

■ Analytics-based controls: Combining analytics with smart devices will let companies fine-tune control over their processes. Adjustments can be made in real time to ensure continued production and compliance with environmental standards.

■ Improved work efficiency: Smart devices will allow increased collaboration between workers and equipment, improving productivity.

Saba Anees is the Content Marketing Specialist at AppDynamics.

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4 Questions to Ask Before Adopting the Internet of Things

Saba Anees

The Internet of Things (IoT) is about connecting virtually any “thing” or machine. They could range from personal wearables to smart homes, smart cities’ infrastructure, utilities, transportation, and manufacturing. The IoT is far bigger than the Internet of people, and it’s growing fast. Gartner says the IoT will grow 30 percent in 2016, reaching 6.4 billion devices, with more than five million new devices connected daily. It’s expected to continue growing to 20.8 billion devices by 2020.

You already see the potential of adopting an Internet of Things model into your enterprise, but are you doing it in the best way? The following are four questions you and your team should be answering to determine how to find the right opportunity in the IoT space for your business.

1. What is the Internet of Things?

First things first. Defining the Internet of Things, and establishing its context to your framework is instrumental in determining your potential with IoT. Gartner defines the IoT as “the network of physical objects that contain embedded technology to communicate and sense or interact with their internal states or the external environment.” Verizon identifies three characteristics of IoT devices:

■ Aware: The devices include sensors that report information about their surroundings.

■ Autonomous: IoT devices are connected and automatically transfer information to a central location or application for processing.

■ Actionable: The information collected is integrated into business processes for decision making.

2. Is your software configured to connect with the IoT?

Talking about the IoT in terms of things makes it sound like the IoT is all about physical hardware. While the IoT doesn’t exist without sensor-based devices, the devices don’t actually function without software. Most IoT devices have a user interfaced website or smartphone app where the user can manage configuration settings and review activity. Some IoT devices have more sophisticated analytics that gather big data and crunch the numbers to make decisions about what the device should do or present insights to business management.

While building the software that runs on a device may require specialized skills for embedded programming, the backend processes are conventional software applications with common software development concerns, including performance and ease of use. The usual security concerns around software become even more important with the IoT, as software controls devices in the real world and security failures can impact physical systems.

3. Do your team’s technical capabilities scale with the needs of the IoT?

Technology developments now make dealing with the technical challenges of IoT devices easier. Platforms like Raspberry Pi provide low-cost boards equipped for IoT development. Low-power sensors and new low-power communication technology, such as LoRa, mean the limited power available to IoT devices does not limit functionality. Sensors and circuits are shrunk to the point that they fit into devices a person is willing to wear.

On the software side, companies have made platforms to create a standardized environment for IoT development. Applications can use RESTful APIs or lightweight protocol, which were designed to work where memory and network capacity are limited.

Both Amazon Web Services and the Google Cloud Platform offer features explicitly intended to meet the needs of IoT applications, including both real-time communications with IoT devices and performance of the big data analytics necessary to make sense of data once it accumulates. Combined with the hardware platforms, these services make it easy to get started prototyping a device and its software. Because prototyping platforms are scalable, if an idea is not successful, it is easy to continue developing it and create a robust product without throwing away the work that was already done.

4. How does it create a ROI for your business?

Customer-generated data collected by IoT devices offer companies insight into customer behavior and create additional selling opportunities. They provide an in-depth insight that provides opportunity for companies to forecast everything from product roadmaps to market leverage. There are four main kinds of benefits for businesses:

■ Improvements in operational efficiency and asset utilization: Companies gain the ability to manage equipment remotely and schedule preventive maintenance to eliminate downtime. The IoT can also help with optimizing supply chains and loss prevention.

■ An outcome-based business model: The tracking and monitoring enabled by the IoT lets companies change the way they sell equipment. The use of sensors allows them to sell based on usage and quality level, allowing capital goods to adopt the “as-a-Service” model that’s become popular for software.

■ Analytics-based controls: Combining analytics with smart devices will let companies fine-tune control over their processes. Adjustments can be made in real time to ensure continued production and compliance with environmental standards.

■ Improved work efficiency: Smart devices will allow increased collaboration between workers and equipment, improving productivity.

Saba Anees is the Content Marketing Specialist at AppDynamics.

Hot Topics

The Latest

According to Auvik's 2025 IT Trends Report, 60% of IT professionals feel at least moderately burned out on the job, with 43% stating that their workload is contributing to work stress. At the same time, many IT professionals are naming AI and machine learning as key areas they'd most like to upskill ...

Businesses that face downtime or outages risk financial and reputational damage, as well as reducing partner, shareholder, and customer trust. One of the major challenges that enterprises face is implementing a robust business continuity plan. What's the solution? The answer may lie in disaster recovery tactics such as truly immutable storage and regular disaster recovery testing ...

IT spending is expected to jump nearly 10% in 2025, and organizations are now facing pressure to manage costs without slowing down critical functions like observability. To meet the challenge, leaders are turning to smarter, more cost effective business strategies. Enter stage right: OpenTelemetry, the missing piece of the puzzle that is no longer just an option but rather a strategic advantage ...

Amidst the threat of cyberhacks and data breaches, companies install several security measures to keep their business safely afloat. These measures aim to protect businesses, employees, and crucial data. Yet, employees perceive them as burdensome. Frustrated with complex logins, slow access, and constant security checks, workers decide to completely bypass all security set-ups ...

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Cloudbrink's Personal SASE services provide last-mile acceleration and reduction in latency

In MEAN TIME TO INSIGHT Episode 13, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses hybrid multi-cloud networking strategy ... 

In high-traffic environments, the sheer volume and unpredictable nature of network incidents can quickly overwhelm even the most skilled teams, hindering their ability to react swiftly and effectively, potentially impacting service availability and overall business performance. This is where closed-loop remediation comes into the picture: an IT management concept designed to address the escalating complexity of modern networks ...

In 2025, enterprise workflows are undergoing a seismic shift. Propelled by breakthroughs in generative AI (GenAI), large language models (LLMs), and natural language processing (NLP), a new paradigm is emerging — agentic AI. This technology is not just automating tasks; it's reimagining how organizations make decisions, engage customers, and operate at scale ...

In the early days of the cloud revolution, business leaders perceived cloud services as a means of sidelining IT organizations. IT was too slow, too expensive, or incapable of supporting new technologies. With a team of developers, line of business managers could deploy new applications and services in the cloud. IT has been fighting to retake control ever since. Today, IT is back in the driver's seat, according to new research by Enterprise Management Associates (EMA) ...

In today's fast-paced and increasingly complex network environments, Network Operations Centers (NOCs) are the backbone of ensuring continuous uptime, smooth service delivery, and rapid issue resolution. However, the challenges faced by NOC teams are only growing. In a recent study, 78% state network complexity has grown significantly over the last few years while 84% regularly learn about network issues from users. It is imperative we adopt a new approach to managing today's network experiences ...

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