Dynamic Business Applications of Artificial Intelligence in IoT

Sanam Malhotra | 12th January 2020

Artificial intelligence (AI) in IoT is heralding a paradigm shift in legacy business operations and processes. As an emerging AI development company, Oodles AI is exploring the dynamics of AI and IoT technologies to automate business infrastructures significantly. In this article, we are discussing some effective applications of AI in IoT for corporate, healthcare, manufacturing, and other global industries.


Artificial Intelligence in IoT: Smart Business Applications

1) Facial Recognition and Analytics for Surveillance Systems

Employee and IT security is the topmost priority for global business setups. Although biometric access control applications have proliferated organizations worldwide, technical challenges like spoofing, replay attacks, and interoperability issues disrupt security management.

AI’s computer vision capabilities are overcoming biometric access limitations with real-time monitoring of employee activities and safety parameters. Facial recognition and in-depth video analytics are some promising machine learning development services that strengthen organizational security systems in the following ways-

a) Seamless and protected access control systems with instant validation of employee identity and verification of authorized areas of entry. The technology can record and analyze employees’ in and out time, gestures, provide guest sign-in options for conferences or events.

Artificial intelligence Iot Facial recognition for access control

The technology is fast evading Chinese corporate offices for a secure, accurate, and quick access control facility.

b) In-depth video analytics techniques under AI’s computer vision capabilities channelize data from smart CCTV cameras to monitor real-time employee movements.

c) Precise object detection algorithms can also be deployed to manage stocks, server rooms, office supplies, and more.

Also read- 5 Facial Recognition Trends and Market Predictions


2) Predictive Maintenance Systems

The manufacturing industry quipped with heavy assets are beginning to reap the benefits of advanced AI solutions. Mckinsey Lab research reveals that AI asset optimizer systems have recorded an 11.6% improvement in vertical raw mill output generation.

artificial intelligence in IoT manufacturing devices

Predictive maintenance is an emerging AI solution in IoT that analyzes data from smart assets to analyze machinery health and conditions. The systems can make timely predictions of whether or not the machinery needs maintenance or repairing. In addition, AI-powered manufacturing assets enable-

a) Self-healing and self-calibration of IoT devices such as inductors, sensors, and more.

b) Automated alerts based on over-heating of machinery and asset operating limits.

Also read- Mobilizing Big Data for Cloud-based Predictive Analytics


3) Smart Healthcare Diagnostic Systems

We have witnessed exponential advancements in healthcare technology in the past few years. IoT devices have proliferated the healthcare industry significantly from sensor-based tracking devices to wearable fitness gadgets and hygiene-monitoring devices.

The integration of emerging technologies such as big data analytics, AI, and RPA could create an additional value of $350 billion to 410 billion by 2025, suggests Mckinsey. 

AI can harness data from electronic health records (EHR) and other IoT devices for-

a) Predicting epidemic infections, chronic diseases, heart risks, and more among patients.

b) Administration of drugs, medical staff, and availability of equipment like wheelchairs and oxygen pumps in hospital premises and pharmacy stores.

c) Bridging the gap for distant healthcare services by providing remote healthcare support using communication technologies such as Bluetooth, near Field Communication (NFC), Wi-Fi, and USB.

Also read- Improving Diagnostics with AI-powered Predictive Analytics in Healthcare


Interoperability of Artificial Intelligence and IoT with Oodles AI

IoT and artificial intelligence technologies together are redefining business operations and customer services. At Oodles, we are constantly exploring new possibilities to bring effective AI-powered automation to IoT devices in global business setups. Our AI development team is efficient at channelizing complex databases from IoT devices such as sensor-based machines, manufacturing units, healthcare equipment, and home appliances.

Our AI capabilities extend to computer vision, deep video analytics, predictive analytics, recommendation engines, natural language processing, and machine learning development services.

To learn more about our artificial intelligence services, contact our AI development team today.

About Author

Sanam Malhotra

Sanam is a technical writer at Oodles who is currently covering Artificial Intelligence and its underlying disruptive technologies. Fascinated by the transformative potential of AI, Sanam explores how global businesses can harness AI-powered growth. Her writings aim at contributing the multidimensional values of AI, IoT, and machine learning to the digital landscape.

No Comments Yet.

Leave a Comment

Name is required

Comment is required

Request For Proposal

[contact-form-7 404 "Not Found"]

Ready to innovate ? Let's get in touch

Chat With Us