Data quality is fairly simple nomenclature to describe the state of the data being processed, analyzed, fed into AI, and more. But this modest little term belies an incredibly critical and complicated reality: that enterprises require the highest level of data quality possible in order to do everything from developing product and business strategies, and engaging with customers, to predicting the weather and finding the fastest delivery routes.

Remember way back around 2016, when “IoT” was just entering the lexicon? The technology behind the “Internet of things” was starting to be used across industries. In the energy space, for example, companies used it to capture data being sent from tens of thousands of sensors from various equipment, like inverters, controllers, anemometers (wind speed detectors), cloud-watching cameras, and more.

Modern smart technologies are at the heart of the fourth industrial revolution, also known as Industry 4.0, and it holds the promise to completely change the supply chain and manufacturing sectors as we know them. Even if you’re not familiar with the term Industry 4.0 yet, you’re probably aware of the components that form the basis of this new methodology. The Internet of Things (IoT), embedded software, and microservice architecture are making all of this possible.

The usage of resources is one of the critical factors in IoT contexts; it is common to observe that devices can suddenly disconnect when their available resources are exceeded; monitoring, however, can be worse due to the additional resource consumption required for such tracking.

For the newest instalment in our series of interviews asking leading technology specialists about their achievements in their field, we’ve welcomed Tim Panagos, CTO and Co-founder of IoT data startup Microshare. Tim is a technology executive with over twenty years of experience in enterprise software. Tim was most recently Chief Architect of Accenture’s global Business Process Management (BPM) practice, where he led software architecture innovation.

Firmware is a code or software on the device that allows and enables the device to perform various tasks. The most common architectures for IoT devices are ARM and MIPS. Firmware provides the necessary instructions on how to communicate with hardware. Firmware is held in non-volatile memory devices such as ROM, EPROM, EEPROM, and code running on embedded devices. Updates to Firmware: Firmware updates are often pushed to fix bugs, roll out new features, or improve security.

You have just arrived at your favorite holiday destination and reached the hotel reception on a busy morning. It shouldn’t matter to you today if the hotel reception is crowded or there is no one available to help you with check-in. You will directly walk over to the self-service kiosk, enter your booking details, and scan your passport. The check-in process is completed in no time and you are provided with your room details. The kiosk even vends out your swipe card!

Technology is booming now more than ever, and every day brings new products and functionality for every unimaginable task. It is not just about mobile apps and computers anymore; instead, it is all about embedded systems and Internet-of-Things (IoT) devices that have quickly become so commonplace in our day-to-day lives. It feels like these devices are running software for just about everything: baby monitors, speakers, fitness trackers, security cameras, thermostats, and vehicles to name just a few.

Traditional businesses are projected to be disrupted and revolutionized at an unprecedented rate as the Internet of Things (IoT) emerges. These new technologies have the potential to benefit the insurance business, which has been hesitant to adapt in the past. Before we get into how the Internet of Things will affect insurance, let’s define what we mean by “IoT” in this context.

Hitachi Vantara today announced the new Lumada Industrial DataOps portfolio with core IIoT platform framework capabilities. With this release, we are making it easier for organizations to take advantage of real-time insights and outcomes that can make critical operations more predictable and manageable. One of the highlights of this release is the introduction of IIoT Core software, which includes digital twins, ML (machine learning) service, and user interface components.