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Resilience in Azure whitepaper

Azure is a rapidly growing cloud computing platform that provides an ever-expanding suite of cloud services. These include analytics, computing, database, mobile, networking, storage, and web services. Azure integrates tools, templates, and managed services that work together to help make it easier to build and manage enterprise, mobile, web, and Internet of Things (IoT) apps faster, using the tools, applications, and frameworks that customers choose.

Azure is built on trust. The Azure approach to trust is based on the five foundational principles - Security, Compliance, Privacy, Resilience and Intellectual Property (IP) protection. A well-designed Azure application should focus on the five pillars of software quality.

Simplify IoT Solution Development

As Internet of Things (IoT) and intelligent edge technology evolves, more businesses are adopting solutions that give them new insights, allow for remote monitoring of buildings and assets, increase productivity, and even create revenue streams.  The next step in many companies’ technology journey is the transition from connected assets to connected environments. Discover how IoT solutions are enabling this through both edge computing and the intelligent cloud. 

Enhancing IoT Solutions with AI, Machine Learning, and Computer Vision

  

Internet of Things (IoT) devices collect unfathomable amounts of data as the technology ties the digital and physical worlds closer together, which makes the ability to sort and analyze data increasingly important to solve challenges.  Artificial intelligence (AI) and advanced technologies are enabling image interpretation, language recognition, predictive and prescriptive maintenance, and much more in IoT solutions. Learn more about how these technologies expand the capabilities of IoT solutions and can accelerate the return on investment.

Frost&Sullivan_2021 IoT Platform of the Year

For its strong overall performance, Microsoft is recognized with Frost & Sullivan’s 2021 Global Platform of the Year Award in the IoT industry.  Frost and Sullivan believe Microsoft is leading the IoT industry with its best‐in‐class technologies ranging from its IoT platform, machine learning, artificial intelligence, digital twins, analytics, edge computing and much more.  

Microsoft Azure IIoT in the pharmaceutical industry

  

Between rigid regulations, collaboration with a myriad of businesses to ensure chain of custody, and responsibility to ensure quality control from the time drugs are made to the time they’re administered to patients, pharmaceutical companies grapple with a plethora of challenges.


By providing real-time visibility on data within operations, Industrial IoT (IIoT) solutions can accelerate product development, detect errors across the value chain sooner, and enable companies to hasten their production timelines.


This whitepaper describes how business leaders in the pharmaceutical industry can ulitize Azure IIoT to drive improved efficiency, reduce costs, and facilitate new business models

IoT Signals Report

In 2019, Microsoft and Hypothesis embarked on an IoT Thought Leadership initiative, annually producing reports in the IoT Signals series. The goal of these reports is to better serve our partners and customers, help business leaders develop their own IoT strategies, and provide the most up-to-date research on IoT use across countries and industries. Previous reports focused on three pieces of research – an initial round conducted in February 2019, which focused on IoT across industries, a follow-up in October 2019 that took a deeper look into four key industries (energy, manufacturing, healthcare, and retail), and a 2020 update of both the original and the follow-up. In 2021, this current paper again builds off the success of the prior Signals papers, with new research uncovering fresh learnings and insights around the current and future state of IoT.   

The Enclave Device Blueprint for Confidential Computing at the Edge

A White Paper by Arm, Microsoft and Scalys 

To help protect data in the Internet of Things (IoT), developers are using a relatively new technique from the cloud, called confidential computing, to isolate sensitive operations in a Trusted Execution Environments during processing. IoT data remains protected when in use, so it’s easier to meet strict regulatory requirements for data privacy and introduce new use cases involving sensitive data. This paper summarizes confidential computing and its potential for edge and highlights how Arm and Microsoft are working with other industry leaders to make it easier to enable secure and isolated environments for confidential computing.  

IoT Signals Report

In 2019, Microsoft and Hypothesis embarked on an IoT Thought Leadership initiative, annually producing reports in the IoT Signals series. The goal of these reports is to better serve our partners and customers, help business leaders develop their own IoT strategies, and provide the most up-to-date research on IoT use across countries and industries. Previous reports focused on three pieces of research – an initial round conducted in February 2019, which focused on IoT across industries, a follow-up in October 2019 that took a deeper look into four key industries (energy, manufacturing, healthcare, and retail), and a 2020 update of both the original and the follow-up. In 2021, this current paper again builds off the success of the prior Signals papers, with new research uncovering fresh learnings and insights around the current and future state of IoT.  

Modern Industrial IoT Analytics on Azure

Customers leverage Azure Databricks for Industrial IoT Analytics

Simplifying IoT at scale with Cognizant and Microsoft

Scaling IoT isn’t easy, but by implementing the best practices highlighted in this whitepaper, organizations will find their experience moving from proof of concept to production to be much simpler. One of the common threads in simplifying every element of the IoT lifecycle is to think about scale from day one, whether that means designing how IoT will interact with business processes or implementing a common data model as early as the proof of concept. By planning for scale from the beginning, organizations save themselves from a lot of complexity down the road. Microsoft and Cognizant aim to help organizations move to IoT at scale as quickly and easily as possible.