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Building outcome-driven IoT networks in Microsoft Azure
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At RedPixie, we believe every company can harness the power of IoT, Big Data and machine learning to strengthen their business position.
More than 90 percent of organisations utilising cloud with their IoT networks have seen measurable success. As the technology becomes more sophisticated, cloud services are enabling companies to take advantage of edge analytics, explore new channels of revenue, and uncover unique, data-driven insights from huge streams of raw data.
Microsoft Azure’s elastic cloud infrastructure drives hyper-scale IoT projects and provides on-demand resources for both data storage and analytics.
The Azure IoT suite delivers built-in security and flexibility across on-premises and cloud data centres, making it easier to manage and configure your entire network. We use infrastructure-as-code for greater agility, stability and improved business continuity.
We help organisations tailor their customer experience through the use of intelligent IoT architecture.
Understanding the business value of unstructured data is the key to providing better products and services. Combining IoT telemetry and Azure services can help your business become more personalised, relevant and contextual.
We use capabilities such as Azure Cognitive Services, Cortana Intelligence Suite and Azure Machine Learning Services to extract greater insights from IoT data.
These services support hundreds of millions of devices, allowing real-time data collection, ingestion and analysis and helping you make faster, more accurate business decisions.
A quarter of IoT projects fail in the POC stage. To ensure you don’t falter at the start line, we build and manage your IoT solutions with better business outcomes in mind. All our IoT and data science services offer:
Discover how to design and implement an IoT project that delivers tangible business results.
In our guide, you'll learn:
We built an end-to-end wearables solution for a leading UK health care provider, enabling them to proactively monitor and manage the health of their patients. We had to address four main challenges:
After achieving success in these areas, we’re now developing a “population scale” Azure cloud solution.