{"id":795441,"date":"2022-08-17T09:43:08","date_gmt":"2022-08-17T09:43:08","guid":{"rendered":"http:\/\/test.daliworks.net\/index.php\/2022\/08\/17\/powerful-aiot-en\/"},"modified":"2026-07-28T01:28:15","modified_gmt":"2026-07-28T01:28:15","slug":"powerful-aiot-en","status":"publish","type":"post","link":"http:\/\/test.daliworks.net\/index.php\/2022\/08\/17\/powerful-aiot-en\/","title":{"rendered":"Why IoT Becomes More Powerful When It Meets AI"},"content":{"rendered":"

<\/h1>\n
\n

Why IoT Becomes More Powerful When It Meets AI<\/span><\/h2>\n<\/blockquote>\n

Over the past decade, IoT has evolved continuously, and companies have steadily woven it into the business world. Until now, organizations have built and optimized systems using IoT devices and their data capabilities; with advances in AI and machine learning, the conversation has now turned to adopting AIoT.<\/span><\/p>\n

Consumers and companies that adopt and invest in AIoT can harness its power and secure a competitive edge. <\/span>IoT collects the data, and AI analyzes it to simulate smart behavior and support decision-making processes with minimal human intervention.<\/b><\/span><\/p>\n

So let’s look at why IoT becomes more powerful when it meets AI.<\/span><\/p>\n

​<\/span><\/p>\n

Why IoT Needs AI<\/h2>\n

Why does IoT need AI? <\/span>Because AI and IoT complement each other in decision-making and data transmission. Combining AI and IoT allows devices to communicate with one another and act with insight.<\/b><\/span> Devices are only as capable as the data they provide, and for that data to be useful in decision-making, it must be collected, stored, processed, and analyzed.<\/span><\/p>\n

This poses a challenge for organizations. As IoT adoption grows, companies struggle to process data efficiently and put it to work in real decisions and insights. It is a genuine organizational challenge: the more IoT is adopted, the harder it becomes to use data efficiently in corporate decision-making. Two issues are to blame: ‘the cloud’ and ‘data transmission.’<\/span><\/p>\n

The cloud cannot scale to process all the data from IoT devices, and data transmission from IoT to the cloud is bandwidth-constrained. Regardless of device size, the data IoT devices collect causes latency and congestion.<\/span><\/p>\n

Autonomous vehicles, for example, which rely heavily on IoT applications, must make rapid real-time decisions for safety. They must process data and make split-second decisions the way a person would. Here, latency, unreliable connectivity, and low bandwidth are unacceptable. Beyond autonomous cars, in manufacturing\u2014which is already integrating IoT devices\u2014latency can affect decision-making or limit functionality in emergencies.<\/span><\/p>\n

Overcoming the Drawbacks of IoT Data Exchange with AI<\/h4>\n

IoT devices generate roughly one billion gigabytes of data every day. By 2025, the number of IoT devices worldwide is projected to reach 42 billion. But as networks grow, so does the data\u2014and many point out that IoT devices alone are not enough. As demands and expectations change, IoT by itself is insufficient. Growing data brings as many challenges as opportunities. The resulting obstacles limit the insight and possibilities data can deliver, but <\/span>AIoT overcomes these mounting problems and helps organizations unlock the true potential of their data.<\/b><\/span><\/p>\n

​<\/span><\/p>\n

The Benefits of AIoT<\/h2>\n

With AI, IoT networks and devices can learn from past decisions, predict future activity, and continuously improve their performance and decision-making capabilities.<\/b><\/span> AI lets devices interpret data and make decisions in real time, free of the latency and congestion that come with data transmission. In other words, it lets them ‘think for themselves.’ Ultimately, AIoT delivers a wide range of benefits to organizations and provides a powerful solution for intelligent automation.<\/span><\/p>\n

\"\"<\/p>\n

​<\/span>Preventing Downtime<\/strong><\/p>\n

In the offshore oil and gas industry, unexpected equipment failure can cause downtime that carries enormous costs. AIoT can predict equipment failure in advance and schedule maintenance before the equipment runs into serious trouble.<\/p>\n

​<\/span>Improving Operational Efficiency<\/strong><\/p>\n

AI processes the immense volumes of data streaming in from IoT devices and detects underlying patterns far more efficiently than humans can. With machine learning, AI can enhance this capability by predicting the operating conditions and adjustments needed for better outcomes.<\/p>\n

​<\/span>Enabling New and Improved Products and Services<\/strong><\/p>\n

Natural language processing keeps improving, allowing devices and people to communicate more effectively. AIoT permits better data processing and analysis, enhancing both new and existing products and services.<\/span><\/p>\n

​<\/span>Enhanced Risk Management<\/strong><\/p>\n

Adapting to fast-changing market conditions requires risk management. IoT-based AI can use data to predict risks and prioritize the ideal response\u2014improving employee safety, mitigating cyber threats, and minimizing financial losses.<\/p>\n

​<\/span><\/p>\n

AIoT Services by Industry<\/h2>\n

AIoT is sparking a digital revolution across a wide range of industries.<\/p>\n

Manufacturing \u2013 Monitoring<\/h4>\n

Manufacturers use IoT for equipment monitoring. AIoT goes a step further, combining data insight from IoT devices with AI capabilities to deliver predictive analytics. With AIoT, manufacturers can take a proactive stance on warehouse inventory, maintenance, and production. AIoT-equipped robots already in use in manufacturing learn continuously through built-in sensors, saving time and cutting costs across the production process.<\/p>\n

Transportation \u2013 Management<\/h4>\n

Advances in IoT and AI will be the key to eliminating traffic congestion. With more than 83 billion connections expected by 2024\u2014a 130% increase over 2020\u2014IoT systems deployed at scale can now solve concrete challenges such as urban traffic congestion. Intelligent traffic management software, powered by artificial intelligence embedded in connected devices, has advanced to the point where it can analyze traffic patterns, weather conditions, and more at the scale genuinely needed to fight congestion.<\/p>\n

Retail \u2013 Sales and Marketing<\/h4>\n

Retail analytics with AIoT tracks customer movement through cameras and sensors and predicts in-store behavior, such as how long it takes shoppers to reach the checkout. This allows retailers to optimize staffing and increase cashier productivity, lifting overall customer satisfaction.<\/span><\/p>\n

Major retailers use AIoT solutions to gain insight into their customers and grow sales. Data such as mobile-based user behavior and proximity detection provides valuable insight for delivering personalized marketing campaigns while customers shop, increasing traffic to physical stores.<\/span><\/p>\n

Automotive \u2013 Predictive Maintenance and Autonomous Driving<\/h4>\n

The automotive industry uses IoT technology to provide maintenance and recall-related services. AIoT can predict defective or failing parts and, by combining data from recalls, warranties, and safety agencies, identify components that need replacement and offer customers service checks. This builds confidence in the vehicles on the road and earns a better reputation, helping manufacturers strengthen customer trust and loyalty.<\/span><\/p>\n

​<\/span>AIoT is also used in autonomous vehicles. With AIoT, self-driving cars can predict driver and pedestrian behavior in a variety of situations, making driving safer and more efficient.<\/span><\/p>\n

​<\/span><\/p>\n

Prepare for the Future with AIoT<\/h2>\n

AI and IoT are a perfect union of complementary capabilities. AI strengthens IoT through smart decision-making, and IoT fuels AI’s capabilities through data exchange. Ultimately, the two combined will transform businesses and create new opportunities across many industries.<\/span><\/p>\n

If you would like to learn more about AIoT solutions and how to adopt them, <\/span>contact Daliworks!<\/u><\/span><\/p>\n","protected":false},"excerpt":{"rendered":"

Consumers and companies that adopt and invest in AIoT can harness its power and gain a competitive edge. IoT collects the data, and AI analyzes it to simulate smart behavior and support decision-making with minimal human intervention. Let’s look at why IoT becomes more powerful when it meets AI.<\/p>\n","protected":false},"author":1,"featured_media":797751,"comment_status":"open","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"uix_meta_title":"","uix_meta_description":"","uix_canonical_url":"","footnotes":""},"categories":[5],"tags":[],"class_list":["post-795441","post","type-post","status-publish","format-standard","has-post-thumbnail","category-blog"],"yoast_head":"\nWhy IoT Becomes More Powerful When It Meets AI - Daliworks<\/title>\n<meta name=\"robots\" content=\"noindex, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Why IoT Becomes More Powerful When It Meets AI\" \/>\n<meta property=\"og:description\" content=\"Consumers and companies that adopt and invest in AIoT can harness its power and gain a competitive edge. 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