Heineken uses the cloud to reach 10.5 million consumers
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Developers help build a safe, standardized flight platform for industrial drones with Azure IoT Hub

DroneWorks

Commercial and industrial drones will soon handle tasks ranging from agricultural observation to reconnaissance after a natural disaster. To prevent risks to public safety, drone operators need a way to predict when a drone needs maintenance or may fail. To fill this need, Japanese company DroneWorks is building a standardized industrial drone management system that can predict maintenance needs and malfunctions. The development team is using Azure IoT Hub and Azure IoT Edge as a scalable, secure solution for collecting and analyzing flight data from the dozens of sensors on a drone. Azure Stream Analytics and Microsoft Power BI currently help to visualize the data and make it actionable. The solution provides a solid foundation for implementing Azure Machine Learning, which will drive predictive maintenance and ultimately advance DroneWorks efforts to encourage adoption of a standard, safe drone management system.
Why is BitTitan still growing 50–100 percent a year after 10 years?

BitTitan

To sharpen its marketing and sales, BitTitan—which provides solutions to help IT service providers run their businesses—turned to Microsoft Azure and Microsoft Power BI. Now, it understands social media response to its product launches and other marketing fast enough to optimize its messaging and boost engagement numbers. Additionally, BitTitan used Microsoft technology to improve the quality of leads it offered as sales inducements to its partners—boosting their businesses along with its own.
Developers use Azure IoT Hub to provide free Wi-Fi to customers and create new revenue opportunities

Emirates Airlines

Emirates Air Line is a cable car line owned by Transport for London that runs across the Thames River. Transport for London wanted to improve customer service while operating its cable car service more efficiently and cost-effectively. Working with Microsoft partner TBS Services, the transport authority is combining Microsoft Azure, TV White Spaces, and other technologies to provide free Wi-Fi service to passengers, enhancing customer service and creating new revenue opportunities. It is also obtaining the accurate and timely insights it needs to improve operations and perform predictive maintenance on its cable car equipment.
The secret life of water

Evoqua Water Technologies

Evoqua Water Technologies is a 100-plus-year-old company that has reinvented itself for the digital age. A provider of water purification solutions to 90 percent of the Fortune 500, Evoqua is using Microsoft Azure advanced analytics to transform field-equipment data into valuable insights for customers. This is helping Evoqua evolve from a supplier of water purification gear to a premium provider of water intelligence. Evoqua utilizes this same data intelligence throughout its organization; in particular, its field service team uses data-driven insights in combination with Microsoft Dynamics 365 to recommend new services while onsite with customers. In short, these new cloud tools are helping Evoqua do a better job than ever of taking the worry out of water.
Developers use cloud power to boost quality of automotive parts manufacturing

Fagor Ederlan

Nobody wants defective steering or brakes on their car, but it’s not easy to find defects in aluminum parts the moment they’re manufactured. Developers working for automotive parts maker Fagor Ederlan were tasked with building a system that could use the available manufacturing data to predict quality issues. Their work was made more challenging by a diverse range of legacy and proprietary equipment, data access issues, sheer data volumes, and network constraints. Using a Microsoft Azure cloud solution and machine learning model, a joint developer team was able to create a prototype solution that identifies defective parts sooner while conserving network bandwidth. Most importantly, it can be applied to the different machines and factories in the organization’s global system.
Saving lives by alerting people about earthquakes before they strike

SkyAlert

Earthquakes strike without warning, killing hundreds and sometimes hundreds-of-thousands of people in a year. SkyAlert is one of four companies in the world that’s addressing this massive public safety threat by providing an early-warning system that alerts people in Mexico about an impending earthquake using a mobile app, standalone devices, and an Internet of Things (IoT) solution that runs in Microsoft Azure. In production just two months, three million people already use the mobile app, and more than 40 organizations, including Fortune 50 companies and schools, are using the standalone devices. The solution alerts people about an impending quake up to two minutes before it’s felt. By using Azure instead of onsite infrastructure, SkyAlert also saves money and it’s able to scale the solution to a new region in three months or less.
It’s a hit: Games studio slays expectations with new delivery model

IO Interactive

Hitman, a popular video game franchise from Io-Interactive, has been challenging gamers since 2000. For its next release, Io-Interactive decided to deliver Hitman as an episodic series on the Microsoft Azure platform. By taking advantage of elastic cloud service with a global reach, the company is free to create an ongoing and increasingly immersive experience for millions of enthusiasts worldwide.
Zion China uses Azure IoT, Stream Analytics, and Machine Learning to evolve its Intelligent Diabetes Management solution

Zion China

People around the world increasingly use their mobile devices to track health indicators and report the results to their doctors. Zion China, a provider of mobile healthcare and telemedicine services, is a part of this trend. The Beijing company has developed innovative health monitoring and analysis tools that collect data on blood sugar, diet, exercise, and medication for each patient and resulting personalized advice to help patients manage their health. Its developers realized that as the company’s installation base grew, the sheer volume of real-time data presented a scalability and data management problem. They collaborated with Microsoft to take advantage of the scalability of the Azure IoT Suite, Machine Learning, Stream Analytics, SQL Database, and Microsoft Power BI while also improving analytics and data security.
Creating real-time conversations with consumers, wherever they are

Targetbase

Targetbase helps consumer packaged goods and retail companies better engage with their customers. It does this by presenting relevant offers to consumers in real time, across devices and marketing channels. To create this real-time, anytime, anyplace consumer conversation, Targetbase rewrote its marketing platform using Microsoft Azure and the Cortana Intelligence Suite and Microsoft Azure analytics. By using the Cortana Intelligence Suite, Targetbase gained instant access to sophisticated machine learning, cognitive services, and data management capabilities. With Azure, Targetbase can quickly set up new customers, expand and scale anywhere in the world, and cut datacenter costs in half. Most importantly, Targetbase has transformed its offering with uniquely differentiated capabilities.
Developers use cloud power to boost the quality of automotive parts manufacturing

Fagor Ederlan

Nobody wants defective steering or brakes on their car, but it’s not easy to find defects in aluminum parts the moment they’re manufactured. Developers working for automotive parts maker Fagor Ederlan were tasked with building a system that could use the available manufacturing data to predict quality issues. Their work was made more challenging by a diverse range of legacy and proprietary equipment, data access issues, sheer data volumes, and network constraints. Using a Microsoft Azure cloud solution and machine learning model, a joint developer team was able to create a prototype solution that identifies defective parts sooner while conserving network bandwidth. Most importantly, it can be applied to the different machines and factories in the organization’s global system.

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