Table of Contents
IoT Limitations
Connected Automation Catalyst
Connected Automation Implemented
Conclusion
Home Technology peripherals AI How connected automation will unlock the potential of the Internet of Things

How connected automation will unlock the potential of the Internet of Things

Mar 31, 2023 pm 10:42 PM
Internet of things Networked Automation

In the future, IoT services can detect and solve problems before they occur in homes, hospitals, offices, factories, sites and at sea. Industries ranging from utilities to healthcare, manufacturing to mining and more are investing in IoT at scale.

How connected automation will unlock the potential of the Internet of Things

#Connected automation capabilities can help enterprises unlock the potential of their IoT projects while reducing costs. Every forward-thinking business is now looking to harness the vast potential of IoT. This technology promises to transform every industry with billions of “smart” IoT devices, from smart watches to engine sensors, or monitoring entire factories, allowing all devices to connect, collect and share data.

In the future, IoT services can detect and solve problems before they occur in homes, hospitals, offices, factories, in the field and at sea. Industries ranging from utilities to healthcare, manufacturing to mining and more are investing in IoT at scale. It is predicted that by 2029, the global IoT market value will reach US$2.6 trillion.

IoT Limitations

Enterprises are investing significant efforts in integrating their IoT device data with people, process and enterprise data. But there is a big problem. Investment and efforts in the Internet of Things have not yet brought the expected benefits. The promise of the Internet of Things has not been realized, with more than 70% of projects failing.

The overarching problem with IoT is that real-time, data-rich insights often cannot be easily integrated with legacy systems and outdated ways of working. Bringing human experience and AI insights into IoT-enabled processes at the required speed is also difficult across the enterprise.

Deploying IoT sensors gives operations experts access to large amounts of important data that can help prevent problems. But often, the data is not simply understood, the context of the data is not obvious, and it is not clear what “next best interaction” might solve the problem. Therefore, it is very difficult to make decisions quickly and turn those decisions into positive actions.

For example, it is not enough to obtain large amounts of sensor data that may indicate an impending failure of a production line machine. How about a simple summary of the data, revealing whether spare parts and technicians are immediately available, and what options are available to prevent costly disruptions in production?

Stopping production line shutdowns is just one example of the value of IoT, but there are hundreds more. IoT services in distribution can quickly detect supply chain disruptions, or IoT devices in healthcare can detect serious health issues. But failure to respond quickly enough to this insight means time, money and opportunities for intervention are missed, so adverse outcomes persist.

Traditional approaches to innovating in these complex environments, which often involve replacing core systems or creating new bespoke digital services from scratch, are hampered by complexity, cost, time and required staff investment. Addressing these constraints and delivering IoT, real-time, pre-emptive and preventive services across all industries is a huge opportunity. McKinsey suggests that solving interoperability challenges will triple the returns from IoT. Solving this problem is critical to unlocking the potential of IoT.

Connected Automation Catalyst

The good news is that connected automation now offers a low-cost, smarter capability that can solve these challenges. Connected Automation is an industry-first, code-less, highly secure software-as-a-service layer that IoT devices can easily connect to.

It intelligently orchestrates multi-vendor software bots, API mini-bots, artificial intelligence and employees, all working together in real-time as an augmented digital workforce. This is a highly efficient digital workforce that delivers high-speed, data-rich, end-to-end processes that enable IoT devices to instantly interact and work securely with physical and digital systems of all ages, sizes and complexity.

So, investing in IoT for the first time can realize its true potential without making huge investments in changing existing systems.

Connected automation can also easily bring the human experience into the end-to-end process initiated by the Internet of Things through intelligent automated problem handling. So when human judgment is required, handoffs occur through complex, intuitive digital user interfaces created by robots, all in real time.

During the IoT launch process, there is an immediate need for enhanced insights, AI or other intelligent tools for real-time upgrades in predictive analysis and problem-solving capabilities. Once a decision is made by a human or AI, action can be taken immediately without having to make major changes to existing systems or processes.

Crucially, the security vulnerabilities faced by the Internet of Things can also be solved in a "better than bank security" way. All end-to-end process data is triple-encrypted, accurate to each user and device, with tamper-proof blockchain and GDPR/PSD2 compliance.

Connected automation requires no coding or integration work and enhances the way IoT works in traditional and digital systems, regardless of their complexity. It can be natively integrated into all IoT services, including device software, analytics and existing core systems such as CRM, BPM, ERP and more. By expanding and extending the scope of all existing technology investments, ROI can be achieved within months and at only 10% of the cost of traditional digitalization and automation approaches.

Connected Automation Implemented

Connected automation enables enterprises to finally deliver real-time, pre-emptive and preventive services that quickly and securely reduce risk, lower costs and increase productivity. Asset management, field service dispatch, predictive maintenance, remote monitoring, service portal, work orders and other use cases can now be executed. Here are three IoT transformation service scenarios:

For healthcare monitoring, IoT devices can drive early intervention, prompting a range of outcomes from a friendly call to an immediate ambulance.

Utility companies provide preventive maintenance for customers’ heating and appliances, and IoT devices immediately relay information about impending problems. Real-time integration with inventory systems enables parts ordering, field service systems for fixed scheduling, CRM systems for customer updates, and more.

For plant equipment monitoring, condition-based predictive maintenance means less maintenance and fewer plant shutdowns. Connected automation is already delivering significant benefits to the digitized processes of large telecommunications and utility companies, including more than 30% cost savings, 65% faster processing times, and significant improvements in employee and customer satisfaction.

Conclusion

Clearly, the potential for connected automation to better enable smarter IoT services across the private and public sectors is huge. However, the hype surrounding this technology will be inevitable. Avoid this minefield by requiring suppliers to demonstrate proof of value and achieve ROI in weeks rather than years. Truly connected automation technology providers will be willing to take action and demonstrate proven, real-world use cases that highlight the significant benefits achieved at lower cost and scale.

The above is the detailed content of How connected automation will unlock the potential of the Internet of Things. For more information, please follow other related articles on the PHP Chinese website!

Statement of this Website
The content of this article is voluntarily contributed by netizens, and the copyright belongs to the original author. This site does not assume corresponding legal responsibility. If you find any content suspected of plagiarism or infringement, please contact admin@php.cn

Hot AI Tools

Undresser.AI Undress

Undresser.AI Undress

AI-powered app for creating realistic nude photos

AI Clothes Remover

AI Clothes Remover

Online AI tool for removing clothes from photos.

Undress AI Tool

Undress AI Tool

Undress images for free

Clothoff.io

Clothoff.io

AI clothes remover

AI Hentai Generator

AI Hentai Generator

Generate AI Hentai for free.

Hot Tools

Notepad++7.3.1

Notepad++7.3.1

Easy-to-use and free code editor

SublimeText3 Chinese version

SublimeText3 Chinese version

Chinese version, very easy to use

Zend Studio 13.0.1

Zend Studio 13.0.1

Powerful PHP integrated development environment

Dreamweaver CS6

Dreamweaver CS6

Visual web development tools

SublimeText3 Mac version

SublimeText3 Mac version

God-level code editing software (SublimeText3)

Is robotic IoT the future of manufacturing? Is robotic IoT the future of manufacturing? Mar 01, 2024 pm 06:10 PM

Robotic IoT is an emerging development that promises to bring together two valuable technologies: industrial robots and IoT sensors. Will the Internet of Robotic Things become mainstream in manufacturing? What is the Internet of Robotic Things? The Internet of Robotic Things (IoRT) is a form of network that connects robots to the Internet. These robots use IoT sensors to collect data and interpret their surroundings. They are often combined with various technologies such as artificial intelligence and cloud computing to speed up data processing and optimize resource utilization. The development of IoRT enables robots to sense and respond to environmental changes more intelligently, bringing more efficient solutions to various industries. By integrating with IoT technology, IoRT can not only realize autonomous operation and self-learning, but also

What are the roles of artificial intelligence and machine learning in the Internet of Things? What are the roles of artificial intelligence and machine learning in the Internet of Things? Jan 30, 2024 pm 11:21 PM

The integration of artificial intelligence (AI) and machine learning (ML) into Internet of Things (IoT) systems marks an important progress in the development of intelligent technology. This convergence is called AIoT (artificial intelligence for the Internet of Things), and it not only enhances the capabilities of the system, but also changes the way IoT systems operate, learn and adapt in the environment. Let’s explore this integration and what it means. The Role of Artificial Intelligence and Machine Learning in IoT Enhanced Data Processing and Analytics Advanced Data Interpretation: IoT devices generate massive amounts of data. Artificial intelligence and machine learning can cleverly cull this data, extract valuable insights, and identify patterns that are invisible to a human perspective or traditional data processing methods. Predictive analytics uses artificial intelligence and machine learning to predict future trends based on historical data

Christie: dual drive of technology + innovation brings unlimited possibilities Christie: dual drive of technology + innovation brings unlimited possibilities Apr 23, 2024 am 08:10 AM

As a technology company driven by innovation, Christie is able to provide comprehensive solutions, rich industry experience and a complete service network in intelligent audio-visual technology. At this year's InfoCommChina, Christie brought RGB pure laser projectors, 1DLP laser projectors, LED video walls, and content management and processing solutions. At the event site, a large-scale customized outer spherical dome specially designed for astronomical displays became the focus of the scene. Christie named it "Sphere Deep Space", and the Christie M4K25RGB pure laser projector gave it "green vitality" . Mr. Sheng Xiaoqiang, senior technical service manager of the Commercial Business Department in China, said: It is not difficult to realize an outer spherical dome projection, but it can be made smaller and the color

Practical experience in Java development: using MQTT to implement IoT functions Practical experience in Java development: using MQTT to implement IoT functions Nov 20, 2023 pm 01:45 PM

With the development of IoT technology, more and more devices are able to connect to the Internet and communicate and interact through the Internet. In the development of IoT applications, the Message Queuing Telemetry Transport Protocol (MQTT) is widely used as a lightweight communication protocol. This article will introduce how to use Java development practical experience to implement IoT functions through MQTT. 1. What is MQT? QTT is a message transmission protocol based on the publish/subscribe model. It has a simple design and low overhead, and is suitable for application scenarios that quickly transmit small amounts of data.

The current state of manufacturing in 2024: full digitalization The current state of manufacturing in 2024: full digitalization Feb 28, 2024 pm 06:10 PM

Across the world, manufacturing in particular seems to have gradually overcome the difficulties during the pandemic and the supply chain disruptions of a few years ago. However, manufacturers are expected to face new challenges by 2024, many of which can be solved through wider application of digital technologies. Recent industry research has focused on the challenges manufacturers face this year and how they plan to respond. A study from the State of Manufacturing Report found that in 2023, the manufacturing industry is facing economic uncertainty and workforce challenges, and there is an urgent need to adopt new technologies to solve these problems. Deloitte made a similar point in its 2024 Manufacturing Outlook, noting that manufacturing companies will face economic uncertainty, supply chain disruptions and challenges in recruiting skilled labor. no matter what the situation

How IoT sensors and AI are revolutionizing smart buildings How IoT sensors and AI are revolutionizing smart buildings Apr 12, 2024 am 09:10 AM

With the continuous development of smart technology, smart buildings have become a powerful force in today's construction industry. In the rise of smart buildings, Internet of Things (IoT) sensors and artificial intelligence (AI) have played a crucial role. Their combination is not just a simple technical application, but also a complete subversion of traditional building concepts, bringing us a more intelligent, efficient and comfortable building environment. Over the past few years, and especially in the wake of the COVID-19 pandemic, the challenges facing building management have increased and evolved as expectations for facilities managers have changed and viability needs have expanded. The shift to more integrated and flexible work environments within offices is also changing the way commercial buildings are used, requiring real-time visibility into building usage, occupant trends

C++ development experience sharing: Practical experience in C++ IoT programming C++ development experience sharing: Practical experience in C++ IoT programming Nov 22, 2023 pm 07:59 PM

Practical Experience of C++ Internet of Things Programming The Internet of Things (IoT) is a hot topic that has attracted much attention in recent years. It connects various devices and sensors to each other to achieve information sharing and intelligent control. In the development of the Internet of Things, C++, as a powerful programming language, has the characteristics of high performance and efficiency, so it is widely used in the field of the Internet of Things. In this article, I will share some practical experience accumulated in C++ IoT programming, hoping to provide some useful reference for developers.

Application of data modeling in the Internet of Things Application of data modeling in the Internet of Things Jan 13, 2024 pm 12:51 PM

With the further development of big data and artificial intelligence, the Internet of Things is increasingly developing in the direction of AIOT. The Internet of Things infrastructure will become a new generation of information infrastructure, forming a trinity of "Internet of Things", "Digital Internet" and "Intelligent Internet" architecture. The collection, storage, analysis, mining and intelligent application of IoT infrastructure data are very important. To this end, we need to systematically model IoT data and establish a complete and standard IoT data modeling system to provide basic guarantees. In this way, we can better analyze, mine and apply IoT data and further promote the development of IoT. The object model aims to standardize and semantically describe, identify and manage objects, and promote the intelligence and efficiency of the Internet of Things. IoT ontology modeling: Purpose: To solve the problem of "what is an object?"

See all articles