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IoT Signals Boost Wave Manufacturing Spotlight

For this spotlight, Microsoft IoT Signals builds off the success of the IoT research conducted in 2019 and takes a deeper look into the manufacturing industry. The objectives of this report are to explore the benefits and challenges of IoT, as well as the challenges of IoT adoption; to project the future adoption and uses of IoT; and to understand the value manufacturing companies see IoT as bringing to their business. This report focuses on two pieces of research – an initial round conducted in February 2019, which focused on IoT across industries and a follow-up in October 2019 that takes a deeper look into the manufacturing industry.

IoT Signals Boost Wave Energy Spotlight

For this spotlight, Microsoft IoT Signals builds off the success of the IoT research conducted in 2019 and takes a deeper look into the energy industry. The objectives of this energy-specific report are to explore the benefits and challenges of IoT, as well as the challenges of IoT adoption; to project the future adoption and uses of IoT; and to understand the value energy companies see IoT as bringing to their business. This report focuses on two pieces of research – an initial round conducted in February 2019, which focused on IoT across industries and a follow-up in October 2019 that takes a deeper look into the energy industry.

IoT Signals Boost Wave Healthcare Spotlight

For this spotlight, Microsoft IoT Signals builds off the success of the IoT research conducted in 2019 and takes a deeper look into the healthcare industry. The objectives of this healthcare-specific report are to explore the benefits and challenges of IoT, as well as the challenges of IoT adoption; to project the future adoption and uses of IoT; and to understand the value healthcare companies see IoT as bringing to their business. This report focuses on two pieces of research – an initial round conducted in February 2019, which focused on IoT across industries and a follow-up in October 2019 that takes a deeper look into the healthcare industry.

Real-Time Operating System

With the rapid growth of the IoT and the number of new devices being developed to take advantage of it, it’s becoming more and more likely that you will consider using an RTOS in the near future. The remainder of this article will explore the overall RTOS value proposition, both pros and cons, so you can consider whether an RTOS would be beneficial for your next product development project.

IoT Signals Boost Wave Retail Spotlight

For this spotlight, Microsoft IoT Signals builds off the success of the IoT research conducted earlier in 2019 and takes a deeper look into the retail industry across different markets. The objectives of this retail-specific report are to explore the benefits and challenges of IoT, as well as the challenges of IoT adoption; to project the future adoption and uses of IoT; and to understand the value retailers see IoT as bringing to their business.

Secure your IoT deployment during the security talent shortage

To deliver lasting value from IoT, organizations must prioritize security. The current security talent shortage can be an obstacle for companies working to deploy a comprehensive IoT security strategy. But there is a way to augment existing teams and resources, even amidst the talent shortage, with trustworthy solutions that help meet the ongoing security needs of IoT—without diminishing opportunity for innovation.


Migrate your SAP estate to the cloud—securely and reliably—with Azure

Bring the intelligence, security, and reliability of Azure to your SAP applications—while you minimize risk and disruptions to your business. Get practical guidance to move your on-premises SAP workloads to the cloud in this SAP on Azure Implementation Guide from Packt. 


Download the free e-book to:
  • Learn how to architect your SAP environment on Azure—with detailed chapters on topics like SAP HANA on Azure, identity management, SAP Hybris, and SAP Data Hub.
  • Plan and implement a more seamless move to the cloud, with advice on choosing the right migration method for your unique SAP solutions.
  • Get insights and guidance on using advanced analytics and IoT with SAP on Azure. 

8 attributes of successful IoT solutions

At Microsoft, we’ve identified 8 key attributes of IoT solutions that must be addressed to reduce the risk of failure. Throughout this paper, we will take a detailed look at each of these attributes and provide concrete guidance for putting your IoT solution on a path to success. 


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.

Cloud Scale Analytics 101

Make your organization more nimble, efficient, and proactive by going beyond simple data collection and storage—using cloud scale data analytics to extract untapped information and insights. In Cloud Scale Analytics 101, you’ll learn the core concepts of BI and analytics, the business motivations behind them, and the building block technologies to implement them. 


Download the e-book to learn how to:
  • Coalesce and conform customer data from siloed locations and view it in one unified repository.
  • Synthesize information from on-premises and cloud-based applications as well as from streaming data from websites, social media, and IoT.
  • Aggregate and interpret petabyte-scale data faster by using powerful data lake technologies.
  • Identify macro patterns in real time and build machine learning models to predict future trends.