In previous articles, we explored MQTT in-depth, even setting up a web-based remote controller that simulated a physical button. We did this in a “Soft IoT” way, avoiding hardware intricacies. However, in IoT, networking between devices plays a crucial role. Not all IoT devices are connected to the Internet or can communicate via MQTT over the internet, as shown in our earlier examples. These devices need a low-latency, low-power network that can auto-discover and manage device communication seamlessly.

Simplifying IoT learning doesn’t have to mean getting bogged down with hardware details. Instead, let’s dive into Soft IoT — where we focus on software-driven IoT exploration. In this article, we’ll learn how to read inputs from a button and turn it into a web based remote control for an LED, all while keeping things software-centric.. In the previous article, we introduced Soft IoT using a Grove Pi board, which simplifies IoT learning by hiding wiring and connections complexity.

Learning IoT doesn’t have to be complex, especially when starting out. In this post, we’ll explore how to get started with IoT without diving deep into hardware complexities like wiring or understanding intricate sensor details. In an earlier article, we set up a Raspberry Pi. My son initially saw it as just another, albeit slower, computer. There was no “IoT” in it yet, just a basic device. But IoT is about more than just the device itself; it’s about integrating sensors and actuators.

A few years ago, I bought a Raspberry Pi 3, but during a house move, I misplaced it. Fast forward to this Diwali cleaning, and to my surprise, I found it! My son’s curiosity was piqued, so we decided to set it up together. While my recent focus has been on XR technologies and we setup XRPractices, but this moment brought me back to IoT — sparking the idea to share my journey and experiences through a series of articles on getting started with IoT.

XR use cases are growing with advancements in the devices, internet and development technologies. There is an ever-growing demand to build enterprise use cases using ARVR technology. Most enterprise use cases eventually require integration with an enterprise ecosystem such as IAM (Identity and Access Management), ERP, CRM, and single sign-on with other systems. Most organizations protect digital assets with a single sign-on using Multiple Factor Authentication (MFA). The MFA is generally a web-browser based authentication where the browser redirects to tenant’s authentication page where the user provides their credentials and then the user confirms another factor (PIN, OTP, SMS or mobile notifications), once it succeeds, it gets redirected back to the protected resource.

IT Modernization is one of the key factors of today’s digital transformation. Most of the enterprises trying to define digital transformation strategy. IT organizations trying to redesign the organizations to meet the changing business need, and uplift the technology and people. Non-IT organizations are also trying to setup digital department to take care of companies digital assets and modernize them. However, IT modernization does not always result in a profit, it may lead to revenue loss if it does not fit to the organization design.

IOT 101 A Primer on Internet of Things from Kuldeep Singh The IoT can be described as “Connecting the Things to internet”. A comprehensive IoT ecosystem consists of many different parts such as electronic circuitry, sensing and acting capability, embedded systems, edge computing, network protocols, communication networks, cloud computing, big data management and analytics, business rules etcetera. This maze of varied parts can be better classified into 4 broad categories:

Organized Nagarro LSD event, on Industry 4.0, demonstrated usecases on connected services concept, and was a panelist for a discussion on Smarter Services - Predictive, Always Connected, Personalized Global experts will debate ways to create smarter services based around predictive maintenance, always connected devices and personalized solutions. Whether we call Industry 4.0 an evolution or a revolution, there is little doubt that it will have a disruptive impact on the manufacturing industry.

The industry has been going through an evolution. Industry 4.0 is the fourth industrial revolution where the key will be on digital transformation. Industry 4.0 creates what has been called a “smart factory”. Within the modular structured smart factories, cyber-physical systems monitor physical processes, create a virtual copy of the physical world and make decentralized decisions. Over the Internet of Things, cyber-physical systems communicate and cooperate with each other and with humans in real time, and via the Internet of Services, both internal and cross-organizational services are offered and used by participants of the value chain.

On a usual day at office, if an employee wishes to book a meeting room, he or she first has to open their outlook account, check the calendar for its availability and then send a booking invitation. If they directly go to a meeting room, they have no way of knowing whether it is booked or not without checking the calendar. Smart Meeting Room is a step forward in automating the availability and booking procedure of a meeting room.

As we understand “IoT Platform” is an essential building block of IoT Ecosystem . A platform essentially decouples the business application from low level details of the technology stack and required services. Thus, it makes more sense to go for an off-the-shelf platform that provide all the relevant features and required flexibility, instead of developing the whole IoT stack from scratch. Selection of an IoT Platform is a key to develop a scalable and robust IoT Solution.

The vision of IoT can be seen from two perspectives— ‘Internet’ centric and ‘Thing’ centric. The Internet centric architecture will involve internet services being the main focus while data is contributed by the objects. In the object centric architecture, the smart objects take the center stage. In order to realize the full potential of cloud computing as well as ubiquitous sensing, a combined framework with a cloud at the center seems to be most viable.