For the recent IoT Signals report, commissioned by our Azure IoT team and conducted by Hypothesis Group, more than 3,000 decision makers at enterprise companies across the US, UK, Germany, France, China, and Japan who were currently involved in IoT, participated in a 20-minute online survey. Healthcare was one of the industries included in the research. Of the healthcare executives surveyed, 82 percent said they have at least one IoT project in either the learning, proof of concept, purchase, or use phase, with many reporting they have one or more projects currently in ‘use.’ The top use cases cited by the healthcare executives included:
Tracking patient staff and inventory. Remote device monitoring and service. Remote health monitoring and assistance. Safety, security, and compliance. Facilities management.
Today we want to shed light on how two innovative companies are building upon this momentum and their own research to build IoT-enabled solutions with Azure IoT technologies that support medication management and adherence. These solutions address the safety, security, compliance, and inventory use cases highlighted in the report.
The Cost of Pharmaceutical Samples
According to a January 2019 article published by JAMA, Medical Marketing in the United States, 1997-2016, “Marketing to health care professionals
At Microsoft, building a future that we can all thrive in is at the center of everything we do. On January 16, as part of the announcement that Microsoft will be carbon negative by 2030, we discussed how advances in human prosperity, as measured by GDP growth, are inextricably tied to the use of energy. Microsoft has committed to deploy $1 billion into a new climate innovation fund to accelerate the development of carbon reduction and removal technologies that will help us and the world become carbon negative. The Azure IoT team continues to invest in the platforms and tools that enable solution builders to deliver new energy solutions, customers to empower their workforce, optimize digital operations and build smart, connected, cities, vehicles, and buildings.
Earlier, Microsoft committed $50 Million through Microsoft AI for Earth that provides technology, resources, and expertise into the hands of those working to solve our most complex global environmental challenges. Challenges like helping customers around the world meet their energy and sustainability commitments. Our partnership with Vattenfall illustrates how we will power new Swedish datacenter locations with renewable energy and our partnership with E.ON who manages low-voltage distribution grids is challenging the limits of traditional
Few industries have been disrupted by emerging technology quite like retail. From exploding online sales to the growth of mobile shopping, the industry has made a permanent shift to accommodate digital consumers.
The rise of IoT has forced the retail industry to take notice; IDC expects that by 2025 there will be 41.6 billion connected IoT devices or ‘things,’ generating more than 79 zettabytes (ZB) of data. These billions of devices are creating unprecedented visibility into a business, leading to transformation of operations, from the supply chain to automated checkout, personalized discounts, smart shelves, and other advances powered by IoT. In fact, IoT can help brick-and-mortar stores create customer experiences that rival that of online stores; for instance, customers can be sent alerts about discounts relevant to them when they get close to a store, and those stores can use IoT to keep track of inventory and increase efficiency.
Today we’re sharing a new IoT Signals report focused on the retail industry that provides an industry pulse on the state of IoT adoption to help inform how we better serve our partners and customers, as well as help retail leaders develop their own IoT strategies. We surveyed 168 decision makers
https://azure.microsoft.com/blog/retailers-embrace-azure-iot-central/For many retailers around the world, the busiest quarter of the year just finished with holiday shopping through Black Friday and Cyber Monday to Boxing Day. From supply chain optimization, to digital distribution, and in-store analytics, the retail industry has READ MORE
Processing Big data in real-time is an operational necessity for many businesses. Azure Stream Analytics is Microsoft’s serverless real-time analytics offering for complex event processing.
We are excited and humbled to announce that Microsoft has been named a leader in The Forrester Wave™: Streaming Analytics, Q3 2019. Microsoft believes this report truly reflects the market momentum of Azure Stream Analytics, satisfied customers, a growing partner ecosystem and the overall strength of our Azure cloud platform. You can access the full report here.
The Forrester Wave™: Streaming Analytics, Q3 2019
Forrester Wave™: Streaming Analytics, Q3 2019 report evaluated streaming analytics offerings from 11 different solution providers and we are honored to share that that Forrester has recognized Microsoft as a Leader in this category. Azure Stream Analytics received the highest possible score in 12 different categories including Ability to execute, Administration, Deployment, Solution Roadmap, Customer adoption and many more.
The report states, “Microsoft Azure Stream Analytics has strengths in scalability, high availability, deployment, and applications. Azure Stream Analytics is an easy on-ramp for developers who already know SQL. Zero-code integration with over 15 other Azure services makes it easy to try and therefore adopt, making the product the
Since releasing Microsoft Azure IoT Edge, we have seen many customers using IoT Edge automatic deployments to deploy workloads to the edge at scale. IoT Edge automatic deployments handle the heavy lifting of deploying modules to the relevant Azure IoT Edge devices and allow operators to keep a close eye on status to quickly address any problems. Customers love the benefits and have given us feedback on how to make automatic deployments even better through greater flexibility and seamless experiences. Today, we are sharing a set of enhancements to IoT Edge automatic deployments that are a direct result of this feedback. These enhancements include layered deployments, deploying marketplace modules from the Azure portal and other UI updates, and module support for automatic device configurations.
Layered deployments are a new type of IoT Edge automatic deployments that allow developers and operators to independently deploy subsets of modules. This avoids the need to create an automatic deployment for every combination of modules that may exist across your device fleet. Microsoft Azure IoT Hub evaluates all applicable layered deployments to determine the final set of modules for a given IoT Edge device. Layered deployments have the same basic components as any
One of the toughest IoT quandaries is figuring out how to bake IoT into existing hardware in a secure, cost-effective way. For many customers, scrapping existing hardware investments for new IoT-enabled devices (“greenfield” installations) isn’t feasible. And retrofitting mission-critical devices that are already in service with IoT (“brownfield” installations) is often deemed too risky, too complicated, and too expensive.
This is why we’re thrilled about a major advancement for Azure Sphere that opens up the brownfield opportunity, helping make IoT retrofits more secure, substantially easier, and more cost effective than ever before. The guardian module with Azure Sphere simplifies the transformation of brownfield devices into locked-down, internet-connected, data-wielding, intelligent devices that can transform business.
For an in-depth exploration of the guardian module and how it’s being used at major corporations like Starbucks, sign up for the upcoming Azure Sphere Guardian Module webinar.
The guardian module with Azure Sphere offers some key advantages
Like all Microsoft products, Azure Sphere is loaded with robust security features at every turn—from silicon to cloud. For brownfield installations, the guardian module with Azure Sphere physically plugs into existing equipment ports without the need for any hardware redesign.
Azure Sphere, rather than the device itself,
Do you need rugged, compact-sized hyperconverged infrastructure (HCI) enabled servers to run your branch office and edge workloads? Do you want to modernize your applications and IoT functions with container technology? Do you want to leverage Azure’s hybrid services such as backup, disaster recovery, update management, monitoring, and security compliance?
Well, Microsoft and HPE have teamed up to validate the HPE Edgeline EL8000 Converged Edge system for Microsoft’s Azure Stack HCI program. Designed specifically for space-constrained environments, the HPE Edgeline EL8000 Converged Edge system has a unique 17-inch depth form factor that fits into limited infrastructures too small for other x86 systems. The chassis has an 8.7-inch width which brings additional flexibility for deploying at the deep edge, whether it is in a telco environment, a mobile vehicle, or a manufacturing floor. This Network Equipment-Building System (NEBs) compliant system delivers secure scalability.
HPE Edgeline EL8000 Converged Edge system gives: Traditional x86 compute optimized for edge deployments, far from the traditional data center without the sacrifice of compute performance. Edge-optimized remote system management with wireless capabilities based on Redfish industry standard. Compact form factor, with short-depth and half-width options. Rugged, modular form factor for secure scalability and serviceability in edge and hostile environments including
Digital twins have moved from an exciting concept to reality. More companies than ever are connecting assets and production networks with sensors and using analytics to optimize operations across machinery, plants, and industrial networks. As exact virtual representations of the physical environment, digital twins incorporate historical and real-time data to enable sophisticated spatial analysis of key relationships. Teams can use digital twins to model the impact of process changes before putting them into production, reducing time, cost, and risk.
For the second year in a row, Gartner has identified digital twins as one of the top 10 strategic technology trends. According to Gartner, while 13 percent of organizations that are implementing IoT have already adopted digital twins, 62 percent are in the process or plan to do so. Gartner predicts a tipping point in 2022 when two out of three companies will have deployed at least one digital twin to optimize some facet of their business processes.
This is why we’re excited by the great work of ANSYS, a Microsoft partner working to extend the value of the Microsoft Azure Digital Twins platform for our joint customers. The ANSYS Twin Builder combines the power of physics-based simulations and analytics-driven digital
Do you need rugged, compact-sized hyperconverged infrastructure (HCI) enabled servers to run your branch office and edge workloads? Do you want to modernize your applications and IoT functions with container technology? Do you want to leverage Azure’s hybrid services such as backup, disaster recovery, update managment, monitoring, and security compliance?
Microsoft and Lenovo have teamed up to validate the Lenovo ThinkSystem SE350 for Microsoft’s Azure Stack HCI program. The ThinkSystem SE350 was designed and built with the unique requirements of edge servers in mind. It is versatile enough to stretch the limitations of server locations, providing a variety of connectivity and security options and can be easily managed with Lenovo XClarity Controller. The ThinkSystem SE350 solution has a focus on smart connectivity, business security, and manageability for the harsh environment. To see all Lenovo servers validated for Azure Stack HCI, see the Azure Stack HCI catalog to learn more.
Lenovo ThinkSystem SE350:
The ThinkSystem SE350 is the latest workhorse for the edge. Designed and built with the unique requirements for edge servers in mind, it is versatile enough to stretch the limitations of server locations, providing a variety of connectivity and security options and is easily managed with Lenovo XClarity