1 / 5

How artificial intelligence is reshaping the industries with IOT

AI and IoT will play a key role in the future. Various factors are driving the growing demand for technology in governments and industries. Technicians, engineers and scientists have already begun to implement this approach on multiple levels.

kalyanitusm
Download Presentation

How artificial intelligence is reshaping the industries with IOT

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. 3/8/2021 (3) How Artificial Intelligence is Reshaping the Industries with IoT? | LinkedIn 3 Home My Network Jobs Messaging Notifications Me Work Post a job Image Source: bitnewstoday How Artificial Intelligence is Reshaping the Industries with IoT? Published on March 8, 2021 Edit article View stats kalyani t Search Engine Optimization Executive at USM Business Systems 5 articles Now, we know that in IoT applications, various non-computing devices or components are generating data, mostly in the form of non-structured data and not SQL formats. This means that computers connected to IoT devices will find it very difficult to use this raw data without further processing and convert it into useful forms. Now, AI solutions comes into the picture. AI has a subset of technologies such as M2M communication, machine learning, deep learning, natural language processing, and more. These technologies can enable AI to analyze abstract data. It believes that the AI process in Big Data is very fast, providing real-time responses to other connected devices or interfaces that humans can work with quickly. AI keys to unlocking the potential of IoT Artificial intelligence Companies has played a growing role in IoT applications and deployments, and investments and acquisitions in AI and IoT-enabled startups have Messaging https://www.linkedin.com/pulse/how-artificial-intelligence-reshaping-industries-iot-kalyani-t/ 1/5

  2. 3/8/2021 (3) How Artificial Intelligence is Reshaping the Industries with IoT? | LinkedIn 3 increased over the past two years. Home My Network Jobs Messaging Notifications Me Work Post a job The value of Artificial Intelligence in this context is the ability to quickly compose insights from data. Machine learning, an Artificial Intelligence technology, brings the ability to automatically identify patterns and detect anomalies in sensor-generated data and smart devices - data such as temperature, pressure, humidity, air quality, vibration, and sound. Compared to traditional business intelligence tools, which typically examine the numerical limit to skip - the machine learning method can predict operations 20 times faster and with greater accuracy. Other AI technologies, such as speech recognition and computer vision, can help extract insights from information that once required human review. IoT AI applications help companies avoid unplanned downtime, optimize operations, spawn new products and services, and improve risk management. Like Comment Share 2 Views Avoid unplanned DOWNTIME costs. In many sectors - industrial production or offshore oil and gas, double naming - unplanned downtime resulting from equipment breakdowns can cost a fortune. Predictive maintenance - using analytics to predict equipment failures in advance to define organized maintenance procedures - can reduce the economic damage from unplanned downtime. Machine learning allows patterns to be identified in a constant stream from current machines to predict equipment failures. On the manufacturing side, Deloitte found that predictive maintenance reduced the time required for maintenance planning by 20–50 percent, increased uptime and equipment availability by 10–20 percent, and lowered the cost of maintenance. Overall maintenance down 5–10 percent. Increase operational efficiency AI-powered IoT can also help improve operational efficiency. Just as machine learning can predict device failures, it can predict operating conditions and specify parameters to be tuned instantly to maintain the best results by compressing a constant stream to detect patterns. That is invisible to the human eye and does not appear on ordinary gauges. Recommended: How Much Does Artificial Intelligence Cost? Machine learning often finds counter intuitive insights: Shipping ship operators' machine learning tools indicate more frequent hull cleaning, a process that results in costly and enhanced downtime. The overall profit of the fleet is real. The math goes against the maritime industry's instincts: Hull stays smooth, with frequent cleaning improves fuel efficiency enough to outweigh the rising cleaning costs. New and improved product and service activation Messaging https://www.linkedin.com/pulse/how-artificial-intelligence-reshaping-industries-iot-kalyani-t/ 2/5

  3. 3/8/2021 (3) How Artificial Intelligence is Reshaping the Industries with IoT? | LinkedIn 3 AI-powered IoT improvements can also directly create new products and services. Natural Language Processing (NLP) is getting better and better in getting people to talk to machines rather than human operators. AI-powered drones and robots that can go where humans can't, offer new opportunities for monitoring and monitoring that have never been seen before. Home My Network Jobs Messaging Notifications Me Work Post a job Commercial vehicle management has been re-invented through AI that can monitor every measured data point in a fleet of planes, trains, trucks, or automobiles to find more efficient routes and schedules and reduce downtime by Unplanned, Cloudera claims the fleet management AI has cut downtime for vehicles inspected by the Navistar device by up to 40 percent. Increasing risk management Many applications that pair IoT with AI help organizations better understand and predict risks, as well as automate their responses to speed, enabling them to manage employee safety, loss of way Better finance, and cyber threats Applications that are already in use include detecting fraudulent behavior at bank ATMs, forecasting motorist insurance premiums based on driving patterns, identifying potentially hazardous stress conditions for factory workers, and monitoring drivers. Bake law enforcement surveillance data to identify the location of potential incidents in advance. What IOT means for the organization No alt text provided for this image Image Source: i-scoop.eu For organizations in various industries, AI is a natural complement to IoT deployments, enabling better presentation and operation to gain a competitive advantage in business performance. Predictive machine learning is now integrated into most major general-purpose and industrial IoT platforms such as Microsoft Azure IoT, IBM Watson IoT, Amazon AWS IoT, GE Predix, and PTC ThingWorx. An increasing number of end-to-end, integrated, or vertical IoT solutions are leveraging AI technology, especially machine learning. It is often possible to use AI technology to add value from IoT deployments that were not designed with AI in mind. IoT deployments generate large and constant data flows where Machine learning development service is excellent. In an audit to identify patterns that lead to greed THE FUTURE OF IoT IS AI AI's capability for IoT is still developing. As more data accumulates from connected devices and gets input into AI algorithms, the effects of AI development and IoT on human lives Messaging https://www.linkedin.com/pulse/how-artificial-intelligence-reshaping-industries-iot-kalyani-t/ 3/5

  4. 3/8/2021 (3) How Artificial Intelligence is Reshaping the Industries with IoT? | LinkedIn 3 and jobs increase. The combination of AI and IoT will lead to a highly automated future, where the web of IoT technology and smart software entities will work together to drive progress and inform better decisions. Home My Network Jobs Messaging Notifications Me Work Post a job Dive deeper into the future of AI for IoT Today's IoT applications are useful for understanding trends, as they are areas where "traction" is proven and dictate where a large company and venture money is already moving. However, autos and vacuums are likely to be the tip of the iceberg of potential IoT AI applications: 1. Security and access equipment In terms of purely IoT applications, companies such as ACT (Access Control Technologies) are already increasing the use of key fob technologies to unlock door and device methods. Even in companies with less than a thousand employees, artificial intelligence can be used to determine the general accessibility patterns of different employees or the roles and ranks of employees - providing insight for future office layouts and detecting suspicious activity (using similar technology) using advanced cybersecurity to detect outliers. While we may not find key fob/access key technologies that integrate Best Artificial Intelligence development or Predictive Analytics, as Phoebe technology and adoption improves, this area may be filled with security insights (especially positions for companies that anticipate significant data). 2. Emotional analysis, facial recognition Facial recognition is only in the last five years, and has reached some huge heights from intelligence to marketing; It's safe to say that apps are not clicked. Companies like Kairos are already improving marketing applications, branding Marquee clients like Nike and IMB on their homepage. With the camera in almost every computer and smartphone made today, it is not so easy to gather information related to products and marketing from consumer reactions. Facebook's auto-tagging is a familiar example to many - and other business models and uses have yet to come out. The Washington Post (in other publications) writes about the social and ethical implications of ubiquitous facial recognition technology. No alt text provided for this image Report this Published by kalyani t Search Engine Optimization Executive at USM Business Systems Published • 1h 5 articles Messaging https://www.linkedin.com/pulse/how-artificial-intelligence-reshaping-industries-iot-kalyani-t/ 4/5

  5. 3/8/2021 (3) How Artificial Intelligence is Reshaping the Industries with IoT? | LinkedIn 3 How Artificial Intelligence is Reshaping the Industries with IoT? Home My Network Jobs Messaging Notifications Me Work Post a job #AI_development_in_iot#benefits_of_AI_in_iot#Applications_AI_In_IOT#futureofAIinIOT #AI_Reshaping_Industries_with_IoT #AIservies#AIinIOT#Aiappdevelopment #Aiappdevelopmentcompanies 0 Comments Add a comment… kalyani t Search Engine Optimization Executive at USM Business Systems More from kalyani t Tips for Powerful Mobile App Development Using Artificial Intelligence Cost to Develop A Wedding Planner Mobile App in 2021 How Mobile App Can Double Your Business Sales In 2021 Top best Hotel Booking Apps in 2021 kalyani t on LinkedIn kalyani t on LinkedIn kalyani t on LinkedIn kalyani t on LinkedIn See all 5 articles Messaging https://www.linkedin.com/pulse/how-artificial-intelligence-reshaping-industries-iot-kalyani-t/ 5/5

More Related