SHORT ARTICLE ABOUT THE IOT APPLICATION CASES WITH THE HELP OF AI IN THE NEAR FUTURE.

Introduction

Imagine a smart future! A future where machines are not merely dumb devices but intelligent creations that can work in tandem with human beings. A future that looks remarkably like the robotic utopia in I, Robot (Well, except the homicidal robots!). This future is not merely an imagination but a natural consequence of the two most dynamic technologies of today – Artificial Intelligence and Internet of Things.

The Internet of Things (IoT) is a term that has been introduced in recent years to define objects that are able to connect and transfer data via the Internet. ‘Thing’ refers to a device which is connected to the internet and transfers the device information to other devices.

Nowadays, Artificial intelligence methods play a significant role in various environments including business monitoring, healthcare applications, production development, research and development, share market prediction, business process, industrial applications, social network analysis, weather analysis and environmental monitoring.

The IoT and Artificial Intelligence (AI) will play a vital role in numerous ways in the future. There are multiple forces which are driving the growing need for both technologies and more and more industries, governments, engineers, scientists and technologists have started to implement it in manifold circumstances

Potential Future Applications for AI with IoT

This is an exciting new time to live in (both for humans and machines!). With multiple advances in artificial intelligence, light-speed communications, and analytics, IoT is even more convenient and high-performance IoT devices are taking over almost every domain of technology. Moreover, the declining hardware costs make it feasible to embed sensors and connectivity in just about any device imaginable.

Taken together, Artificial Intelligence and Internet of Things are ushering in a new era where “smart” is just the normal state of being and the robotic utopia in the future appears more and more attainable in the present.

Today’s IoT applications are useful in understanding trends, as they lay out areas in which “traction” is proven and directions where big-company and venture money is already moving. However, autos and vacuums account for the tip of proverbial iceberg of potential IoT+ AI applications:

1 – Security and access devices

In terms of purely IoT applications, companies like ACT (Access Control Technologies) are already furthering the use of key fob technologies for unlocking doors and uses of equipment. Even in organizations with well under a thousand employees, artificial intelligence could be used to determine regular access patterns of different employees or roles and tiers of employees – providing insight for future office layouts, and potentially detecting suspicious activity (using the same kind of technology that modern cybersecurity uses in detecting outliers).

Though we weren’t able to find key fob / access key technologies integrating artificial intelligence or predictive analytics, we would suppose that as fob technology and adoption improve, this area may be rife with security insight (particularly for larger firms assessing data across many locations).

2 – Emotional analysis, facial recognition

Facial recognition has made some massive leaps and bounds in the last five years alone, and from surveillance to marketing, it seems safe to say that it’s applications haven’t been tapped. Companies like Kairos are honed in on marketing applications already, brandishing marquee clients like Nike and IMB on their homepage.

With a camera on nearly every computer and smartphone made today, gleaning information from consumer reactions to products and marketing has probably never been easier. Facebook’s auto-tagging is an example that most people will be familiar with – and other business models and uses are still to be fleshed out. The Washington Post (among other publications) has written about the potential social and ethical implications of ubiquitous facial recognition technology.

The future of IoT has the potential to be limitless. Advances to the industrial internet will be accelerated through increased network agility, integrated artificial intelligence (AI) and the capacity to deploy, automate, orchestrate and secure diverse use cases at hyperscale. The potential is not just in enabling billions of devices simultaneously but leveraging the huge volumes of actionable data which can automate diverse business processes. As networks and IoT platforms evolve to overcome these challenges, through increased capacity and AI, service providers will edge furthermore into IT and web scale markets – opening entire new streams of revenue.