How does IoT technology impact human potential

According to predictions, the Internet of Things will generate a large amount of sensor data, which, combined with artificial intelligence, can raise human potential to a new level.

Today, few technologies like the Internet of Things can receive the enthusiasm and widespread attention of global IT leaders. But how does this technology affect human potential? On the one hand, IT executives foresee that the potential to improve the customer experience by leveraging the massive amounts of data from the almost ubiquitous IoT sensors is almost unlimited; on the other hand, business executives have some ideas on how to manage this data and how to ensure that all of this new Concerns about the security of the terminal.

The scale of the IoT wave is beyond doubt. According to Bain & Company, a global management consulting company, although the growth forecasts for the Internet of Things are different, in fact all of them foresee very rapid growth. In the next few years, the annual growth rate will be about 25%. Globally, it will reach US $ 520 billion in three years. Another report predicts that by 2020, the number of global IoT devices will grow to 20 billion, more than double the global population.

How does IoT technology impact human potential

IoT and human potential

However, another benefit of the outbreak of the Internet of Things is emerging: the ability of IoT devices to enhance human potential, provided that as the number of IoT surges, organizations are willing to change some business processes and operations.

For example, a metal factory deployed IoT sensors to address capacity constraints. It turns out that deploying sensors and collecting data is easy, but employees on the factory floor do not use it because many of the data are too complex.

As a result, IT departments have streamlined some complex analysis outputs, enabling front-line operators to identify when production bottlenecks have formed. These operators perform daily production operations and are given more freedom to change the production line to avoid the bottlenecks they foresee. The result is a 50% increase in production equipment efficiency and a 50% savings in downstream capital expenditures-all due to the potential growth of frontline workers driven by the Internet of Things.

However, billions of new connected terminals are only part of the IoT equation. This is similar to the Internet revolution that began in the early 1990s, but without browsers and relatively low-cost networks and the consumerization of personal computing, the Internet has become a global network primarily for defense purposes.

Hybrid networking and artificial intelligence

The same is true of the Internet of Things. Although sensors will generate and transmit unprecedented amounts of data, complex platforms will need to manage, analyze, and ultimately generate business insights from all that data. In other words, such a platform will need to bring deeper contextual content by mixing IoT data with data from other sources (such as transactional), and then model it into a framework with consistent metrics, in some cases In some cases, this may change the nature of work, such as in the metal factory example above.

With the development of artificial intelligence (AI) and integration with the Internet of Things, these platforms will also increasingly utilize artificial intelligence. In fact, experts believe that artificial intelligence will soon become an integral part of IoT solutions. PricewaterhouseCoopers said the reason is that the main features of the Internet of Things, such as connectivity and sensor data, have led to a shift from demand for "dumb" devices to demand for smart devices. PwC believes:

The Internet of Things requires smart machines and therefore artificial intelligence.

Consider a logistics / transport use case for artificial intelligence (AI) and the Internet of Things, such as fleet operations. Historically, it has been difficult for fleet managers to understand the state of assets, such as trucks. Managers need to track too much historical, current and future data. For trucks, this means overlaying historical asset management, job management, reliability and sustainability data with data from third-party sources (operational statistics, climatic conditions, depreciation, on-board data, etc.).

The currently available artificial intelligence platforms can collect data from these and many other seemingly different sensor data sources, providing fleet managers with valuable insights and enabling them to track individual trucks or entire fleets. They can then make better independent decisions to improve operational efficiency, ensure compliance with safety regulations, and better coordinate fleet operations and sales and marketing efforts.

Better independent decisions and better data

As such, the relationship between IoT and artificial intelligence will enhance the potential of frontline managers and employees who will have the right to make informed, business-critical decisions without having to seek high-level permission or instructions. Workers will perform better predictive analysis by determining when a major machine will fail, and prevent it through proactive maintenance. They will also be proficient at more routine tasks. (From the IoT House) IoT sensors can generate data and recommend immediate action at the edge of operations (such as at remote drilling platforms) to help avoid downtime and even disaster. With the collaborative work of artificial intelligence and the Internet of Things and "learning", and more and more data flowing into complex machine learning algorithms, artificial intelligence-based IoT platforms can finally learn to act autonomously, so that staff can free Make the effort to complete more important tasks.

Artificial Intelligence-The Internet of Things wave is inevitable. Whether these technologies can increase employee potential in the workplace will depend on the efforts and plans of the IT and business teams today before the wave.