AIoT

- Overview

The Internet of Things (AIoT) is the combination of artificial intelligence (AI) technology and Internet of Things (IoT) infrastructure. The goal of AIoT is to create more efficient IoT operations, improve human-machine interaction, and enhance data management and analysis.

Artificial intelligence (AI) is the simulation of human intelligence processes by machines, especially computer systems, often used in natural language processing, speech recognition, and machine vision. 

The Internet of Things (IoT) is a system of interconnected computing devices, machinery and digital machines or objects with unique identifiers and the ability to transmit data over a network without human-to-human or human-to-computer interaction. Things in the IoT could be a person's heart monitor implant, a car with built-in sensors to alert the driver when tire pressure is too low, or any other object that can assign an Internet Protocol address and transmit data over a network. 

AIoT is transformative and mutually beneficial for both technologies, as AI adds value to IoT through machine learning capabilities and improved decision-making processes, while IoT adds value to AI through connections, signals, and data exchange. AIoT can improve businesses and their services by creating more value from IoT-generated data. AI enables IoT devices to use the collected big data to better analyze, learn and make decisions without the need for humans.

- The Future of AIoT Technologies

The reason for combining AI and IoT is to develop both technologies. IoT devices collect and transmit data, but AI will act as the conscience of the process. AI unlocks the true potential of IoT by enabling networks and devices to learn from past decisions, predict future activity, and continuously improve performance and decision-making. 

Both startups and large corporations prefer AI technology to unlock the full potential of IoT. Leading providers of IoT platforms, such as Oracle, Microsoft, Amazon, and Salesforce, have started incorporating AI capabilities into their IoT applications.

Over the past decade, IoT has seen steady adoption across the business world. Businesses have built or optimized using IoT devices and their data capabilities, ushering in a new era of business and consumer technology. Now the next wave is coming, as advances in artificial intelligence and machine learning unlock the possibility of IoT devices leveraging "artificial intelligence" or AIoT. 

Consumers, businesses, economies and industries that adopt and invest in AIoT can harness its power and gain a competitive advantage. IoT collects data, AI analyzes it to simulate intelligent behavior and support the decision-making process with minimal human intervention.

- Where Does AI Unlock IoT?

With technological advancements advancing so rapidly, AIoT is redefining and revolutionizing every industry. AI paves the way for intelligent task execution through real-time analytics, while IoT bridges the scale of communication between devices. The fusion of these two technologies makes each other's applications more effective and powerful. While IoT provides data collection and storage services to the cloud, AI is seen as the brain, primarily responsible for decision-making and stimulating machines to respond. 

At its core, IoT is about sensors implanted into machines, which offer streams of data through internet connectivity. AIoT involves embedding AI technology into different IoT components. Essentially, the combination of AI and IoT is one of the important keys to accelerating technological development and services in the digital field. The goal is to rapidly increase operational efficiency, improve human-machine interaction, and even upgrade data management and analyti

All IoT related services inevitably follow five basic steps called "Create (Sensors), Communicate (Networks), Aggregate (Integrations), Analyze (Augmented Intelligence), and Act (Augmented Behavior)". Undeniably, the value of the “Act” depends on the penultimate analysis. Hence, the precise value of IoT is determined at its analysis step. This is where the AI technology portrays a crucial role.

- The Benefits of AI-enabled IoT

AI and IoT technologies work together to create intelligent, connected systems where AI functions as the brain of the IoT body. IoT devices collect and transmit data from multiple sources to support the learning process involved in artificial intelligence for automation. 

AI brings machine learning and decision-making capabilities to IoT systems, enhances data management and analysis, and dramatically increases productivity.  AI can add to the benefits of IoT by increasing human-like awareness and decision-making in the environment at hand, ultimately increasing efficiency and improving processes. While IoT provides data, AI gains the ability to unlock responses, providing creativity and context to drive intelligent action. Since the data provided by the sensors can be analyzed by AI, businesses can make informed decisions. 

IoT AI brings a wide range of benefits to companies and consumers, such as proactive interventions, personalized experiences, and intelligent automation. AI IoT successfully implements the agile solutions. Here are some of the most popular benefits of combining these two disruptive technologies into the enterprise:  

• Manage, analyze and derive meaningful insights from data
• Ensure fast and accurate analysis
• Balancing the Needs of Localized and Centralized Intelligence
• Balancing personalization with confidentiality and data privacy
• Maintain security against cyber attacks

 - AI and Data Fusion at the Edge

[More to come ...]