Accelerating the
Industrial Internet of Things

IBM

THINK.

IBM
United States
1911
Public
> $10b
>50,000
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DESCRIPTION
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.

Year founded: 1911
Revenue: $92.7 billion (2014)
NYSE: IBM
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. 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.
Daimler, Sogeti HighTech, Synchrony Systems
IOT SNAPSHOT
The IoT ONE Radar indicates a vendor's relative focus on hardware, software and services.
Hardware
Products used by end users that contain IoT technologies. Examples include enabled equipment, wearables, hand-held scanners, and tracking devices.
Software
APIs are the market enabler for IoT. They allow users to manage devices, enable data transfer between software, and provide access capabilities.
Middleware integrates the diverse components of an IoT application by structuring communication, workflows, and business rules.
IoT analytics includes real-time or edge computing and batch analysis. Analytics can be behavioral, descriptive, predictive, or prescriptive.
Data management solutions capture, index and store data in traditional database, cloud platforms, and fog systems for future use.
Security software provides encryption, access control, and identity protection to IoT solutions from data collection through end-user applications.
Services
System integrators link IoT component subsystems, customize solutions, and ensure that IoT systems communicate with existing operational systems.
IoT software consultancies support the development of data analytics, visualization solutions, and platforms, as well as integration into embedded systems.
Examples of business consulting services include go-to-market design and execution, business model development, channel development, and corporate M&A.
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