IBM is an American multinational technology and consulting corporation that manufactures and markets computer hardware, middleware, and software, and offers infrastructure, hosting, and consulting services in areas ranging from mainframe computers to nanotechnology. IBM is intent on leading the development of a global data field.

Amazon Web Services has developed the managed cloud platform AWS IoT to let connected devices easily and securely interact with cloud applications and other devices. AWS IoT can support billions of devices and trillions of messages, and can process and route those messages to AWS Endpoints and to other devices reliably and securely. With AWS IoT, your applications can keep track of and communicate with all your devices, all the time, even when they aren’t connected.

On top of this platform, AWS also offers a variety of analytics solutions by AWS or third-party suppliers that can help meet all kinds of needs related to data analysis.

Microsoft Azure is a Cloud Computing platform and infrastructure created by Microsoft for building, deploying, and managing applications and services through a global network of Microsoft-managed data centers. It provides both PaaS and IaaS services and supports many different programming languages, tools and frameworks, including both Microsoft-specific and third-party software and systems. Azure was announced in October 2008 and released on 1 February 2010 as Windows Azure, before being renamed to Microsoft Azure on 25 March 2014.

Established in September 2009, Alibaba Cloud, Alibaba Group's Cloud Computing arm, develops highly scalable platforms for Cloud Computing and data management.

It provides a comprehensive suite of Cloud Computing services to support growing enterprises worldwide, including sellers and other third-party customers and businesses participating in Alibaba Group's online and mobile commerce ecosystem.

Nine billion Internet of Things (IoT) devices today, and the number is growing. Organizations must consider how to manage the complexities of connecting to a seemingly unlimited number of devices and how to effectively integrate IoT data with data from other sources, such as internal data stores. Business value comes to those who improve their data capabilities—integration, automation, and analysis—not to those who simply connect the most devices to the network. Watson IoT is a set of capabilities that learn from, and infuse intelligence into, the physical world. Firms can securely connect, collect and process IoT data quickly and easily with the Watson IoT Platform.

The IoT generated data, and it is extremely varied, noisy, time-sensitive, and often confidential. Complexity grows as billions of devices interact in a moving world. This presents a growing challenge that will test the limits of programmable computing. Cognitive IoT is our opportunity to fully exploit this resource. Cognitive IoT is not explicitly programmed. It learns from experiences with the environment and interactions with people. It brings true Machine Learning to systems and processes so they can understand your goals, then integrate and analyze the relevant data to help you achieve them.

The AWS IoT Device Gateway enables devices to securely and efficiently communicate with AWS IoT. The Device Gateway can exchange messages using a publication/subscription model, which enables one-to-one and one-to-many communications. With this one-to-many communication pattern AWS IoT makes it possible for a connected device to broadcast data to multiple subscribers for a given topic. The Device Gateway supports MQTT and HTTP 1.1 protocols and you can easily implement support for proprietary or legacy protocols. The Device Gateway scales automatically to support over a billion devices without provisioning infrastructure.

Azure supports a broad selection of operating systems, programming languages, frameworks, tools, databases and devices. Using Azure, you can run Linux Containers with Docker integration; build apps with JavaScript, Python, .NET, PHP, Java and Node.js; build back-ends for iOS, Android and Windows devices. Azure cloud service supports the same technologies millions of developers and IT professionals already rely on and Trust. It can easily be integrated with your existing IT environment through the largest network of secure private connections, hybrid database and storage solutions, and data residency and Encryption features — so your assets stay right where you need them.

Azure offers a comprehensive set of intelligent solutions for data warehousing, advanced analytics on big data, and real-time streaming.

Additionally, with Azure Stack, you can also bring the Azure model of application development and deployment to your datacenter. Azure hybrid cloud solutions give more IT options, with less complexity and cost. Because of this, it's one of the preferred available Cloud Computing services.

Alibaba Cloud provides fully integrated, data driven and highly scalable cloud solutions built to help smart technology providers. This solution allows you to develop a cost-efficient and reliable platform with a smooth transformation process and rapid system upgrades.

These solutions are enabled by the following products:

Elastic Compute Service: Alibaba Cloud's Elastic Compute Service (ECS) comes with fast memory and the latest Intel CPUs to help you achieve faster results with low latencies across global data centers to power your cloud applications.

ApsaraDB for RDS: Alibaba Cloud ApsaraDB for RDS (Relationship Database System) is an on-demand database service that frees you up from the administrative labor of managing a database, and leaves you with more time to focus on your core business.

Object Storage Service: Alibaba Cloud Object Storage Service (OSS) is an easy-to-use service that enables you to store, backup and archive large amounts of data on the cloud.

Analytic DB: Get critical business insights from data sourced from multiple locations, instantly processed in a highly concurrent and multi-dimensional analysis system with Alibaba Cloud Analytic DB. Analytic DB is a real-time Online Analytical Processing (OLAP) managed database cloud service that can crunch enormous amounts of data.

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Daimler, Sogeti HighTech, Synchrony Systems

NASA JPL, Philips, Sonos

Huawei, GE Healthcare, 3M, Xerox, BMW, AccuWeather, Heineken, Rolls-Royce