Since announcing the release of our Jobs feature during the Azure IoT Central general availability launch, we are excited to share how we are working to improve your device management workflow through additional jobs functionalities. Today, you are now able to copy an existing job you’ve created, save a job to continue working on later, stop or resume a running job, and download a job details report once your job has completed running. These additional Jobs functionalities make managing your devices at scale much easier.
In order to copy a job you’ve created, simply select a job from your main jobs list and select “Copy”. This will open a copy of the job where you can optionally update any part of the job configuration. If any changes have been made to your device set since its creation, your copied job will reflect those changes for you to edit.
While you are editing your job, you now have the option to save the job to continue working on later by selecting “Save”. This saved job will appear on your main jobs list with a status of “Saved” and you can open it again at any time to continue editing.
As the manufacturing industry tackles some significant challenges including an aging workforce, compliance issues, and declining revenue, the Internet of Things (IoT) is helping reinvent factories and key processes. At the heart of this transformation journey is the design and use of IoT-enabled machines that help lead to reduced downtime, increased productivity, and optimized equipment performance.
Learn how you can apply insights from real-world use cases of IoT-enabled intelligent manufacturing when you attend the Manufacturing IoT webinar on March 28th. For additional hands-on, actionable insights around intelligent edge and intelligent cloud IoT solutions, join us on April 19th for the Houston Solution Builder Conference.
Using IoT solutions to move from a reactive to predictive model
In the past, factory managers often had no way of knowing when a machine might begin to perform poorly or completely shut down. When something went wrong, getting the equipment back up and running was often time consuming and based on trial-and-error troubleshooting. And for the company, any unplanned downtime meant slowed or halted production, resulting in lower productivity and higher costs.
The development of IoT-enabled machines with sensors allows companies to improve overall efficiency, performance, and profitability. Rockwell Automation found it time consuming
Artificial Intelligence (AI) algorithms are becoming more intelligent and sophisticated every day, allowing IoT devices like cameras to bridge the physical and digital worlds. The algorithms can trigger alerts and take actions automatically — from finding available parking spots and missing items in a retail store to detecting anomalies on solar panels or workers approaching hazardous zones.
Processing these state-of-the-art AI algorithms in a datacenter requires a stable high-bandwidth connection to deliver videos feeds to the cloud. However, these cameras are often located in remote areas with unreliable connectivity or it may not be sensible given bandwidth, security, and regulatory needs.
Microsoft and NVIDIA are partnering on a new approach for intelligent video analytics at the edge to transform raw, high-bandwidth videos into lightweight telemetry. This delivers real-time performance and reduces compute costs for users. The “cameras-as-sensors” and edge workloads are managed locally by Azure IoT Edge and the camera stream processing is powered by NVIDIA DeepStream. Once the videos are converted, the data can be ingested to the cloud using Azure IoT Hub.
The companies plan to offer customers enterprise-ready devices running DeepStream in the Azure IoT device catalog, and the NVIDIA DeepStream module will soon be made available
We’re excited to announce a partnership with Timescale that introduces support for TimescaleDB on Azure Database for PostgreSQL for customers building IoT and time-series workloads. TimescaleDB has a proven track record of being deployed in production in a variety of industries including oil & gas, financial services, and manufacturing. The partnership reinforces our commitment to supporting the open-source community to provide our users with the most innovative technologies PostgreSQL has to offer.
TimescaleDB allows you to scale for fast ingest and complex queries while natively supporting full SQL. It leverages PostgreSQL as an essential building block, which means that users get the familiarity and reliability of PostgreSQL, along with the scalability and performance of TimescaleDB. Enabling TimescaleDB on your new or existing Azure Database for PostgreSQL server will eliminate the need to run two databases to collect relational and time-series data.
How to get started
If you don’t already have an Azure Database for PostgreSQL server, you can create one with the Azure CLI command az postgres up. Next, run the following command to add TimescaleDB to your Postgres libraries:
az postgres server configuration set –resource-group mygroup –server-name myserver –name shared_preload_libraries –value timescaledb
Restart the server to load the
The Internet of Things (IoT) is an ongoing journey. Three years ago, when I entered this business, the world of IoT was in its infancy. Traditional industry technology adopters understood the importance of innovation and implemented isolated solutions to address discrete business issues such as inventory management, loss prevention, logistics management, and other such processes that could be automated.
Digital transformation requires that these solutions be connected so that the data can be collected and analyzed more effectively across systems to drive exponential improvements in operations, profitability, and customer and employee loyalty. The advent of sensors and analytics at the edge plus advancements in cloud platforms and data analytics is enabling this. Systems and services are now connected to provide more holistic solutions that deliver value through operational or profitability improvements and in many cases, through new revenue streams.
The creation of these solutions typically requires an ecosystem of partners. This is where Microsoft provides a distinct advantage, through our partner-plus-platform-approach, that is driving change in IoT technology adoption. Microsoft has committed $5 billion in IoT-focused investments to grow and support our partner ecosystem–specifically through unrelenting R&D innovation in critical areas, like security, new development tools and intelligent services, artificial
The Open Compute Project (OCP) Global Summit 2019 kicks off today in San Jose where a vibrant and growing community is sharing the latest in innovation to make hardware more efficient, flexible, and scalable.
For Microsoft, our journey with OCP began in 2014 when we joined the foundation and contributed the very same server and datacenter designs that power our global Azure cloud, but it didn’t stop there. Each year at the OCP summit, we contribute innovation that addresses the most pressing challenges for our industry, including a modular and globally compatible server design and universal motherboard with Project Olympus to enabling hardware security with Project Cerberus to a next generation specification for SSD storage with Project Denali.
This year we’re turning our attention to the exploding volume of data being created daily. Data is at the heart of digital transformation and companies are leveraging data to improve customer experiences, open new markets, make employees and processes more productive, and create new sources of competitive advantage as they work toward the future of tomorrow.
Data – the engine of Digital Transformation
The Global Datasphere* which quantifies and analyzes the amount of data created, captured, and replicated in any given year
Original equipment manufacturers (OEMs) make the wheels go round for the business world. But demand for faster, cheaper, and smarter products and components put major downward pressure on profit margins. Successful OEMs are always on the lookout for opportunities to drive down costs and differentiate their brands and the rise of the Internet of Things (IoT) offers a golden opportunity to do so by embracing fundamental supply chain transformation.
To get a better understanding of the benefits, best practices, and current state of play in supply chain transformation, we enlisted The Economist Intelligence Unit to survey 250 senior executives at OEMs in North America, Europe, and Asia-Pacific. Our learnings from those conversations drove insights for the basis of the new study, Putting customers at the center of the supply chain. Here are some of the intriguing highlights.
Creating the intelligent supply chain
According to the study, 99 percent of OEMs believe supply chain transformation is important to meet their organizations’ strategic objectives. The vast majority, 97 percent, consider cloud technology to be an essential component of that transformation, which makes sense given that cloud offers the unprecedented ability to collect and analyze data at scale. To date, just
Organizations deploying IoT solutions often ask similar questions as they address security—What is the risk my organization takes on as we adopt IoT? How much security do we need for our scenario? Where should we invest for the biggest impact? To answer those questions, Microsoft co-authored and edited the Industrial Internet Consortium (IIC) IoT Security Maturity Model (SMM) Practitioner’s Guide. The SMM leads organizations as they assess the security maturity state of their current organization or system, and as they set the target level of security maturity required for their IoT deployment. Once organizations set their target maturity, the SMM gives them an actionable roadmap that guides them from lower levels of security maturity to the state required for their deployment.
Because not all IoT scenarios require the same level of security maturity, the goal of the SMM is to allow organizations to meet their scenario needs without over-investing in security mechanisms. For example, a manufacturing or an oil and gas solution involving safety needs an especially high maturity state.
The SMM complements Microsoft’s body of existing research and standards for IoT security, such as the “Seven Properties of Highly Secure Devices.” While the research in the Seven Properties paper
On the Azure IoT Central team, we are constantly talking with our customers to understand how we can continue to provide more value. One of our top pieces of product feedback has been for a clearer device modeling experience that separates the device instance from the device template. Previously, viewing the device and editing the device template took place on the same page through an “Edit Template” button. This caused a lack of clarity between when you were making a change that applied to the device or if your changes were getting applied to all devices in that template. Recently we’ve begun a flighted rollout of a new device modeling experience that begins to directly address this feedback.
For app builder roles, we have introduced a new “Device Templates” navigation tab that replaces the existing “Application Builder” tab, as well as updated the pattern in which you view or edit your device templates. To edit your device templates, you can visit the “Device Templates” tab to make changes. To view or interact with your device instance, you can still find this under the “Explorer” tab. We’re excited to get the first set of changes in your hands so that device templates and device explorer can