Preamble
The adoption of IoT is changing the business world today (Internet of Things). IoT is assisting in prominently capturing a massive amount of data from various sources. However, the complexity of collecting, processing, and analyzing data from a plethora of IoT devices makes it difficult.
To realize the future and full potential of IoT devices, an investment in new technologies will be required. The convergence of AI (Artificial Intelligence) and IoT has the potential to reshape industries, businesses, and economies. AI enabled IoT creates intelligent machines that simulate intelligent behavior and assist in decision making with little or no human intervention.
Combining these two streams’ benefits both the general public and specialists. While IoT is concerned with devices interacting via the internet, AI enables devices to learn from their data and experience. This blog discusses why IoT, and AI must collaborate.
IoT and AI are Becoming Increasingly Popular
Several companies have already integrated AI and IoT into their processes and products. According to a recent SADA System Tech Trend survey, IoT and AI are the most popular technologies in use today. It was also discovered that AI and IoT are the top technologies that businesses are investing in the most to increase efficiency and gain a competitive advantage.
C-suite executives begin to reinvent their businesses by digitizing interactions and communications, according to the IBM Global C-suite Study program. The IBM Institute polled a group of C-suite executives and discovered that 19% of respondents (classified as high performers known as Reinventors) are very interested in the benefits of augmented IoT with AI.
AI technology is preferred by both startups and large corporations for realizing the full potential of IoT. Leading IoT platform vendors such as Oracle, Microsoft, Amazon, and Salesforce have begun to integrate AI capabilities into their IoT applications.
At its core, IoT is about sensors embedded in machines that provide data streams via internet connectivity. All IoT-related services must go through five basic steps: create, communicate, aggregate, analyze, and act. The value of the "Act" is undeniably dependent on the preliminary analysis. As a result, the precise value of IoT is determined during the analysis stage. This is where artificial intelligence technology comes into play.
While IoT provides data, AI gains the ability to unlock responses, providing both creativity and context to drive smart actions. Businesses can make informed decisions because the sensor data can be analyzed using AI.
The IoT artificial intelligence achieves the following agile solutions:
Use data to manage, analyze, and gain meaningful insights
Ensure accurate and timely analysis Balance the needs for both localized and centralized intelligence
Strike a balance between personalization and confidentiality and data privacy Maintain cyber-attack security
The Advantages of AI-Enabled IoT
IoT artificial intelligence provides numerous benefits to businesses and consumers, including proactive intervention, personalized experiences, and intelligent automation. Here are some of the most popular business benefits of combining these two disruptive technologies.
Improved Operational Efficiency
AI in IoT crunches continuous streams of data and detects patterns that are not deceptive on simple gauges. Furthermore, machine learning combined with AI can predict operation conditions and detect parameters that need to be changed to ensure optimal results. As a result, intelligent IoT provides insight into which processes are redundant and time-consuming, as well as which tasks can be fine-tuned to improve efficiency.
Google, for example, applies artificial intelligence to IoT to reduce data center cooling costs.
Improved Risk Management
Combining AI and IoT enables businesses to understand and predict a wide range of risks, as well as automate response. As a result, they can better manage financial loss, employee safety, and cyber threats.
Fujitsu, for example, ensures worker safety by analyzing data from connected wearable devices using AI.
Initiating New and Improved Products and Services
NLP (Natural Language Processing) is improving people's ability to communicate with devices. Without a doubt, IoT and AI can directly create new products or improve existing products and services by allowing businesses to rapidly process and analyze data.
Rolls-Royce, for example, intends to use AI technologies in the development of IoT-enabled airplane engine maintenance services. Indeed, this approach will aid in the detection of patterns and the discovery of operational insights.
Boost IoT Scalability
Mobile devices and high-end computers are examples of IoT devices, as are low cost sensors. However, the most common IoT ecosystem includes low-cost sensors that generate massive amounts of data. Before transferring data to other devices, an AI-powered IoT ecosystem analyzes and summarizes data from one device. As a result, it condenses large amounts of data and enables the connection of many IoT devices. This is referred to as scalability.
Reduces costly unplanned downtime
Equipment failure can result in costly unplanned downtime in some industries, such as offshore oil and gas and industrial manufacturing. Predictive maintenance with AI enabled IoT allows you to predict equipment failure and schedule orderly maintenance procedures in advance. As a result, you can avoid the negative effects of downtime.
Deloitte, for example, discovers the following outcomes from AI and IoT:Time spent on maintenance planning reduced by 20% to 50%. A 10% to 20% improvement in equipment availability and uptime A 5% to 10% decrease in maintenance costs .
Examples of AI and IoT in Action
Let's take a closer look at companies that have improved user experience and created new business models using AI-powered IoT.
Manufacturing Robots
Manufacturing is one of the industries that has already embraced new technologies such as IoT, AI, facial recognition, deep learning, robots, and many others. Factory robots are becoming smarter with the help of implanted sensors that allow for data transmission. Furthermore, because the robots have artificial intelligence algorithms, they can learn from newer data. This method not only saves time and money, but it also improves the manufacturing process over time.
Autonomous Vehicles
The best example of IoT and AI working together is Tesla's self-driving cars. Self-driving cars use AI to predict the behavior of pedestrians and cards in a variety of situations. They can, for example, determine road conditions, optimal speed, weather, and become smarter with each trip.
Retail Intelligence
Retail analytics uses many data points from cameras and sensors to track customers' movements and predict when they will arrive at the checkout line. As a result, the system can recommend dynamic staffing levels to reduce checkout time and increase cashier productivity.
Intelligent Thermostat Solution
Nest's smart thermostat solution is an excellent example of IoT powered by AI. Based on its users' work schedules and temperature preferences, the smartphone integration can check and manage the temperature from anywhere.
In Conclusion
Overall, IoT combined with AI technology has the potential to lead to advanced levels of solutions and experience. You should integrate AI with incoming data from IoT devices to get more value from your network and transform your business.
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