It is estimated that AI and IoT technology are among the top technologies in use, with demand mounting every other day; why are these important for an IoT app development company?
Once you go for a morning walk, your wearable or the fitness tracker app on your phone counts your steps, heart rate, and activities and updates your general update levels. Your mobile app records and organizes daily tasks and sends notifications. Likewise, sensor-enabled robots in a manufacturing unit require data on process time.
You ask Alexa to set the alarm for 5:30 AM, adjust the thermostat to maintain the room temperature, give remote instructions to your Energion Roverr Smart BLDC Ceiling Fan with LED Light, wave off your Optimus iPro 60 cm 1400 m³/hr Chimney left to right to close. Manage Auto On/Off, operating lights, and the auto Clean function through the app. Give instructions to your washing machine while sitting on your mobile phone, start your Mi Robot Vacuum Mop P from the app, raise or lower motorized Smart Blinds Remote Blackout Roller Shade, and do many more things.
What am I trying to say – you think of it and chances are bright that you have an app to accomplish that task. Devices have become smarter, which can be managed at the click through a mobile app!
What is Artificial Intelligence?
Artificial Intelligence makes machines smarter by training them to learn from user experience (data) and assist in decision-making. And this is done without human intervention. AI is usually empowered to make human-like decisions and predictions that look real based on its cognitive intelligence and people’s past purchase behavior (in the case of ecommerce applications), manufacturing robots, self-driving cars, smart assistants, healthcare management, automated financial investing, virtual travel booking agent, social media monitoring, marketing chatbots, etc. AI has been making a positive impact across a broad range of industries. As widely known, it can reduce and ultimately eliminate redundant tasks, making humans work smarter instead of working harder.
What is the Internet of Things (IoT)?
The Internet of Things is a virtual cluster of machines that are interlinked or interconnected via the Internet. We need to have an active internet bandwidth to make a device work. E.g: You need your smartphone to make your washing machine work, or you need your smartphone to slow down or fasten your fan, to soften your light, to pay for your music system, or you need your Google Home or Amazon Alexa Echo Dot to be connected with a stable wi-fi to work.
Internet of Things (IoT) weaves various physical devices like vehicles, home appliances, kitchen appliances, cars, thermostats, baby monitors, wearables, smart TVs, smart speakers, connected thermostats, home security systems, domestic robots, smart bulbs, energy monitors, connected appliances, smart door locks, connected car devices, Smart mobiles, Payment terminals, Smartwatches, Voice-controlled virtual assistants (AI voice assistants), Smart wearables, Fitness and activity trackers, Remote health monitors, Baby monitors. IoT systems work around the cellular, satellite, RFID, Bluetooth, WiFi, LPWAN, Ethernet, and similar ways to connect a sensor/device.
What is the impact of AI on IoT and vice versa?
Businesses, consumers, industries, and economies that adopt and invest in AIoT can simulate smart behavior and make better decisions with minimal human intervention. Now we know that IoT allows devices to communicate with each other, and data is exchanged and passed on. This data needs to be collected, stored, processed, and analyzed. But the businesses that adopt IoT alone cannot make appropriate decisions. They struggle with data efficiency and find it difficult to make real-life decisions and insights.
Why is IoT dependent on AI?
This is due to the cloud and the data transport issues. Data in the cloud cannot scale in proportion as the bandwidth is limited. This happens irrespective of the communications network. the enormous amount of data collected leads to latency and congestion. This makes IoT devices rely on Artificial Intelligence to apply that data judiciously to make proper decisions as to where, when, and how that data should be used. Will that data be effective in the long run? Will it be safe? This is essential in the case of critical. Life-changing applications like self-driven cars and robots in packaging, labeling, and supply chain.
Regarding biometrics (AI), the amount of data that should be allowed. The areas where it should be allowed, and the speed with which it should be relayed becomes important. Such applications require very little latency and very high security. Therefore processing must be done at the edge. It is not viable to call back the data that has been shared on the cloud. Therefore IoT needs AI to be more prudent and logical.
What is the future of IoT?
As IoT is closely interlinked with AI, the benefits of AI are as much important as the benefits of IoT. An increase in data has a ripple effect on the associated challenges and opportunities. Sometimes the challenges become overwhelming and slow down the possibilities that IoT Technology or AI can bring to the entire system. But the introduction of intelligent devices can change that. AI allows devices to think or interpret data and make real-time decisions without the delays and congestion that occur from data transfers.
Ai, together with IoT, is called AIoT, and it brings forth a wide range of benefits for organizations, offering a powerful solution to intelligent automation. If any of the devices in the network fails, the network should keep working. Unexpected device breakdown can cost a fortune in downtime. To prevent such issues, AIoT can predict equipment failures in advance and schedule maintenance before a severe issue occurs.
IoT with AI can be used to predict risk and prioritize an ideal response, improving employee safety, minimizing financial loss, and mitigating cyber threats.
Round Up
AI with IoT chips in possibilities and capabilities. It invites engineers and data scientists to pitch their best knowledge to make sustainable solutions to drive the future. All of it has the potential to transform business across numerous industries and create better opportunities for top AI app development companies.
