HP and Jasper: Mobility Solutions for the Internet of Things

Industrial IoT, IoT Security

Article | July 12, 2023

Edge computing enables the IoT to move intelligence out to the edge. If organizations have a lot of data and need to use it, they should do so in end-to-end paths, environments with lots of sensors, or environments where a lot of data is generated at the edge, thanks to the Internet of Things (IoT) and edge data sensing. Additionally, traditional methodologies fall short of the necessary standards when dealing with real-time information and the growing amount of unstructured data, which includes a sensor and IoT data. For management, power concerns, analytics, real-time needs, and other IoT situations, speed and high-speed data are essential elements. This enables edge computing to handle data. The Internet of Things (IoT) benefits from having compute capacity close to the location of a physical device or data source. IoT device data needs to be processed at the edge rather than traveling back to a central site before that analysis can be done in order to react quickly or prevent concerns. For the data processing and storage requirements of IoT devices, edge computing serves as a local source. Benefits of Using IoT and Edge Together The connection between IoT devices and the main IT networks has less latency. Greater operational efficiency and quicker response times. Network bandwidth improvement. When a network connection is lost, the system continues to run offline. Utilizing analytics algorithms and machine learning, local data processing, aggregation, and quick decision-making are possible. Industrial IoT, often known as IIoT, is the application of IoT in an industrial setting, such as factory machinery. Consider the lifespan of the large, factory-used machinery. Equipment may be stressed differently over time depending on the user, and malfunctions are a regular aspect of operations. The parts of the machinery that are most prone to damage or misuse can be equipped with IoT sensors. Predictive maintenance can be performed using the data from these sensors, cutting down on overall downtime. Because IoT devices can be used as Edge Computing, the line between IoT and Edge Computing can occasionally be razor-thin. However, the most significant difference is the ability not only to compute data locally (in real-time) but also to sync that data to a centralized server at a time when it is safe—and feasible—to send. IoT and edge computing are both here to stay since they fulfill crucial societal and commercial needs.

Enterprise Iot

Article | July 20, 2023

For businesses, the transformative power of IoT is increasingly significant with the promise of improving operational efficiency and visibility, while reducing costs. However, IoT does not come without risks and challenges. While concerns over security and data privacy continue to rise, the lack of IoT standards remains one of the biggest hurdles. The increasing number of legacy, single-vendor, and proprietary solutions cause problems with disparate systems, data silos and security gaps. As IoT successes become more dependent on seamless interoperability and data-sharing among different systems, we want to avoid the scenario of a fragmented market with numerous solutions that simply don’t work with each other.

IoT Security

Article | June 27, 2023

IoT has undeniably become the massive growth propellant for modern-day business. Enterprises employ intelligent systems to improve production in factories, and reduce costs, build industrial automation systems to replace human assignments, monitor and reduce energy; and develop autonomous transportation to enhance driver safety. Inside these embedded systems are sensors that rapidly transmit data that must be immediately captured, processed, and acted upon. Traditional embedded database solutions don't understand and meet the complex needs of IoT devices when it comes to processing and managing data. IoT edge database solutions that can understand the constant data stream from sensors enable devices to make crucial decisions in milliseconds. Real-time Edge Data Processing Enterprisers and business owners prefer scalable edge data management solutions to deploy hundreds of IoT devices so that each device can manage, collect, and analyze the massive amounts of data these IoT sensors produce without losing performance. These devices must capture and store critical information so that the IoT node can make independent decisions and trigger appropriate reactions. Database queries allow device apps to get the information they need to make intelligent decisions in real-time, quickly and without wasting time. To be successful in the IoT, you need the right data management software and the ability to quickly collect and connect device data rapidly to get low latency. IoT Data Processing and Management Standard data management solutions do not fully address the complexity of architecting software for IoT data processing. Despite being the primary data source, sensors are often constrained by their limitations and fail to provide sophisticated analysis. The focus of IoT data analysis and management is to harvest real-time information and make sense of it quickly. A good solution uses technologies that many developers are already familiar with, like SQL, to solve the new problem of analyzing IoT sensors directly on edge devices. Conclusion While building a device application, at every stage, developers must make tough calls to select the best data management and database software to launch their edge-centric IoT systems. Such costly decisions consume significant development and validation time as well. Using existing IoT data management platforms is a better way to deal with scaling, security, and the weight of data. Businesses can set up, connect, and grow their IoT infrastructure with these platforms. Organizations don't have to build their own IoT infrastructure from scratch. Instead, they can use IoT platforms that give them access to IoT devices, cloud infrastructure, and networks worldwide. Small and medium-sized businesses may find this method saves money.

Article | April 14, 2020

Organizations around the world are coping with a variety of challenges related to the COVID-19 outbreak. Many companies are struggling to convert their processes from ‘in-office’ to ‘remotely accessible’. And, they’re scrambling to find new ways to “remote” tasks – with “remote” now becoming a verb. For example, we’ve heard from many customers that adding or expanding remote employee access capabilities is a hot topic. One such customer told us that they went from 9% of their workforce working remotely, to 52%. Wow! That’s not only a substantial change to operations and processes – it also directly impacts the company’s security posture. The challenge facing OT security practitioners is daunting. We absolutely must secure the people and systems responsible for saving mankind from an alien super-virus pandemic. But, while the bad guys are lobbing attacks from afar, the good guys are acting behind the scenes like NPCs (non-player characters). They’re bypassing the security systems we developed through years of hard work, like using Gmail or Zoom, or turning off anti-virus, in the name of getting things done.