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Harness the IoT business potential of LPWAN
N/A | September 18, 2017
Apache Design, an ANSYS subsidiary, enables simulation-driven IC and electronic systems design by providing advanced chip-level power analysis...
Article | April 7, 2020
Customer touchpoints throughout the automotive sales cycle are prime candidates for IoT innovation. Across the board, the data derived from these IoT applications have the capability to provide insights and actionable outcomes which can significantly improve the customer experience. When a customer arrives at a dealership, it may be difficult for the dealer to know if they have what the customer is looking for. For instance, a customer might be coming in to see a particular vehicle, test-drive a car they’ve already seen, or to casually browse their options. Without any data behavior on the customer beforehand, sales personnel or the dealership may not be properly equipped to handle the customer’s request. Perhaps a requested car is no longer on the main show floor for immediate display but instead buried somewhere in a backlot. Maybe another car that was requested for a test drive may not yet be properly serviced for operation. These are only a few of the challenges associated with automotive sales that IoT is capable of helping to improve.
Article | March 1, 2020
ABI Research says cloud vendors are investing in the data and analytics services space as they attempt to get on board the IoT value chain. The researcher forecasts that cloud suppliers will grow their share of IoT data and analytics management revenues from US$6 billion in 2019 to US$56 billion in 2026. Cloud vendor’s revenues come primarily from streaming, storage, and the orchestration of data. Analytics services across cloud vendors, on the other hand, are less differentiated, as reflected in pre-built templates such as AWS Sagemaker and Microsoft Azure Notebooks which leverage the open source Jupyter project. Considering that many cloud vendors are in the early stages of analytics investment, cloud vendors are relying on their partners for addressing more specific advanced analytics and vertical market needs.
Article | March 16, 2020
IoT has a massive scope and too many requirements that can leave even the best of telecom operators clueless. With exalted predictions in the near future (some estimate that IoT devices will cross the 40 billion mark by 2025), the pressure on IoT service providers is immense. There is a need to automate the management of connected devices and sensors, which is why a comprehensive IoT platform has become the need of the hour. Every single one of these platforms plays a huge role in the overall functioning of sensors and devices that form the entire IoT universe. An IoT platform serves as a middleware that connects devices/sensors. It contains an assortment of functions such as controllers and sensors, a communication network, a gateway device, translating and data analysis software along with end application services. IoT platforms are equipped to handle vast quantities of data, applications, subscribers, websites, sensors and devices, and at the same time triggers actions according to the input, in real-time.
Article | March 24, 2020
Internet of Things (IoT) sensors predominantly provide visibility to an operating stack – enabling access to real-time and accurate operational data. Laying analysis on top of that data produces dashboards and other visual representations but artificial intelligence (AI) extends this further by harnessing the data streams to train models and identify patterns. Observations can then be made by a computer much like a human analyst could but at tremendous speed and scale. AI makes it possible to anticipate and predict events in a robust and scalable way. This can create huge business advantages. In this article, we’ll look at applications of AI and IoT in construction.
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