If you were to make a list of the most-hyped topics in enterprise technology right now, it’s likely that the Internet of Things (IoT), big data and event-driven applications would be near the top of it. In many cases, these types of solutions share a common factor: the need to capture, analyze and act on fast-moving, high-volume streams of data—whether that data is generated by IoT sensors, user activity on the web, or traditional transactional data such as trading on financial markets.
According to the recent Bloor Research Report, the Internet of Things is driving wider industry adoption and propelling streaming analytics into the mainstream. There is a rapid increase in vendor and market activity in the Industrial Internet of Things (IIoT) and M2M, with significant deployments of streaming analytics in sectors such as healthcare, smart cities, smart energy, industrial automation, oil and gas, logistics and transportation. The characteristics of streaming analytics are particularly suited to the processing of sensor data: the combination of time-based and location-based data analysis in real-time over short time windows, the ability to filter, aggregate and transform live data, and to do so across a range of platforms from small edge appliances to distributed, fault-tolerant cloud clusters. Sensor data volumes have already reached a level where streaming analytics is a necessity, not an option.
We are excited to introduce the Getting Started guides for Watson IoT Platform. These guides demonstrate Watson IoT Platform best practices and help you develop a ready-for-production end-to-end IoT prototype system. The sample code in the guides can be scaled, secured, integrated with systems, fitting right into developers’ devOps development and build processes. Within the guides, there are additional links to task-specific documentations, API docs, client libraries (SDKs), and additional training materials.
The IoT Widget Library allows developers to rapidly build an user interface for their IoT application, processing real time data from the physical and simulated devices. This library, written in HTML 5, can be embedded in major UI frameworks, including Angular JS, React/Redux, Polymer, and HTML 5.
SmartFactoryKL has become the learning and showcase factory for IBM and its strategic technology in the area of Industrie 4.0 and addresses the full scope of the IBM Industrie 4.0 Reference Architecture. This post presents their use cases that demonstrate a typical Industrie 4.0 project in a public-private initiative.
We are committed to provide the best pricing and services on the Watson Internet of Things Platform. Effective from June 1, 2017, we will offer a lower, tiered pricing model that decreases as volumes increase.
The Watson IoT Platform Lite Plan is now offering 500 registered devices, 500 application bindings, and 200MB of each of data exchanged, data analyzed and edge data analyzed free of charge each month.
IBM at OSCON 2017 May 8-11, 2017 Austin Convention Center Booth 301 Thanks to everybody who stopped by our booth, chatted with our developers, and joined our sessions at OSCON 2017. Keep checking this blog for post-event interviews, and links to the IBM keynote and sessions. If you missed the book signing, get the e-book […]
As part of our commitment to security, Watson IoT Platform will be shortly withdrawing support for TLS 1.0. This helps us align with industry best practices for security and data integrity. The Watson IoT Platform will continue to support TLS 1.1 and 1.2 and clients using TLS 1.0 must upgrade to 1.1 or higher.