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IBM
THINK.
Overview
HQ Location
United States
Year Founded
1911
Company Type
Public
Revenue
> $10b
Employees
> 50,000
Website
Stock Ticker
NYSE: IBM
Twitter Handle
Company 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.
IoT Solutions
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.
Key Customers
Daimler, Sogeti HighTech, Synchrony Systems
Subsidiary
IoT Snapshot
IBM is a provider of Industrial IoT analytics and modeling, application infrastructure and middleware, infrastructure as a service (iaas), cybersecurity and privacy, platform as a service (paas), functional applications, sensors, automation and control, other, networks and connectivity, robots, drones, and processors and edge intelligence technologies, and also active in the aerospace, agriculture, apparel, automotive, buildings, cement, chemicals, cities and municipalities, construction and infrastructure, consumer goods, e-commerce, education, electrical grids, electronics, equipment and machinery, finance and insurance, food and beverage, healthcare and hospitals, life sciences, marine and shipping, metals, mining, national security and defense, oil and gas, paper and pulp, pharmaceuticals, professional service, railway and metro, renewable energy, retail, security and public safety, software, telecommunications, transportation, and utilities industries.
Technologies
Analytics & Modeling
Big Data Analytics
Machine Learning
Natural Language Processing (NLP)
Computer Vision Software
Data Mining
Data-as-a-Service
Digital Twin / Simulation
Edge Analytics
Predictive Analytics
Process Analytics
Real Time Analytics
Robotic Process Automation (RPA)
Infrastructure as a Service (IaaS)
Cloud Computing
Cloud Databases
Cloud Middleware & Microservices
Cloud Storage Services
Private Cloud
Public Cloud
Virtual Private Cloud
Backup & Recovery
Hybrid Cloud
Others
Cybersecurity & Privacy
Application Security
Cloud Security
Database Security
Endpoint Security
Identity & Authentication Management
Intrusion Detection
Malware Protection
Network Security
Security Compliance
Networks & Connectivity
Cellular
Ethernet
MQTT
Network Management & Analysis Software
NFC
RFID
WiFi
Wireless Local Area Network
Functional Applications
Computerized Maintenance Management Systems (CMMS)
Enterprise Asset Management Systems (EAM)
Enterprise Resource Planning Systems (ERP)
Fleet Management Systems (FMS)
Inventory Management Systems
Manufacturing Execution Systems (MES)
Remote Monitoring & Control Systems
Warehouse Management Systems (WMS)
Sensors
Acoustic Sensors
Haptic Sensors
Level Sensors
RFID Readers
Temperature Sensors
Vibration Sensors
Voltage Sensors
Application Infrastructure & Middleware
Blockchain
API Integration & Management
Data Exchange & Integration
Data Visualization
Database Management & Storage
Event-Driven Application
Middleware, SDKs & Libraries
Platform as a Service (PaaS)
Application Development Platforms
Connectivity Platforms
Data Management Platforms
Device Management Platforms
Use Cases
Additive Manufacturing
Advanced Production Planning and Scheduling
Asset Health Management (AHM)
Asset Lifecycle Management
Automated Disease Diagnosis
Behavior & Emotion Tracking
Building Automation & Control
Building Energy Management
Campus Area Network
Chatbots
Collaborative Robotics
Computer Vision
Condition Monitoring
Construction Management
Construction Site Monitoring
Cybersecurity
Demand Planning & Forecasting
Digital Thread
Digital Twin
Edge Computing & Edge Intelligence
Energy Management System
Experimentation Automation
Facial Recognition
Factory Operations Visibility & Intelligence
Farm Monitoring & Precision Farming
Fleet Management
Flexible Manufacturing
Food Safety Management
Fraud Detection
Infrastructure Inspection
Intelligent Packaging
Intrusion Detection Systems
Inventory Management
Last Mile Delivery
Leakage & Flood Monitoring
Leasing Finance Automation
Livestock Monitoring
Machine Condition Monitoring
Machine Translation
Manufacturing Process Simulation
Manufacturing System Automation
Mass Customization
Material Handling Automation
Microgrid
Movement Prediction
Onsite Human Safety Management
Outdoor Environmental Monitoring
Personnel Tracking & Monitoring
Picking, Sorting & Positioning
Predictive Maintenance
Predictive Quality Analytics
Predictive Replenishment
Predictive Waste Reduction
Process Control & Optimization
Public Transportation Management
Public Warning & Emergency Response
Real-Time Location System (RTLS)
Regulatory Compliance Monitoring
Remote Asset Management
Remote Collaboration
Remote Control
Remote Patient Monitoring
Retail Store Automation
Root Cause Analysis & Diagnosis
Search & Rescue
Service Parts Management
Smart Campus
Smart City Operations
Smart Collateral Management
Smart Contracts
Smart Irrigation
Speech Recognition
Supply Chain Visibility
Tamper Detection
Theft Detection
Time Sensitive Networking
Track & Trace of Assets
Traffic Monitoring
Transportation Simulation
Usage-Based Insurance
Vehicle Telematics
Vehicle-to-Infrastructure
Virtual Reality
Virtual Training
Visual Quality Detection
Warehouse Automation
Water Utility Management
Functional Areas
Industries
Aerospace
Agriculture
Apparel
Automotive
Buildings
Cement
Chemicals
Cities & Municipalities
Construction & Infrastructure
Consumer Goods
E-Commerce
Education
Electrical Grids
Electronics
Equipment & Machinery
Finance & Insurance
Food & Beverage
Healthcare & Hospitals
Life Sciences
Marine & Shipping
Metals
Mining
National Security & Defense
Oil & Gas
Paper & Pulp
Pharmaceuticals
Professional Service
Railway & Metro
Renewable Energy
Retail
Security & Public Safety
Software
Telecommunications
Transportation
Utilities
Services
Technology Stack
IBM’s Technology Stack maps IBM’s participation in the analytics and modeling, application infrastructure and middleware, infrastructure as a service (iaas), cybersecurity and privacy, platform as a service (paas), functional applications, sensors, automation and control, other, networks and connectivity, robots, drones, and processors and edge intelligence IoT Technology stack.
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Devices Layer
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Edge Layer
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Cloud Layer
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Application Layer
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Supporting Technologies
Technological Capability:
None
Minor
Moderate
Strong
Case Studies.
Case Study
Vestas: Turning Climate into Capital with Big Data
Making wind a reliable source of energy depends greatly on the placement of the wind turbines used to produce electricity. Turbulence is a significant factor as it strains turbine components, making them more likely to fail. Vestas wanted to pinpoint the optimal location for wind turbines to maximize power generation and reduce energy costs.
Case Study
Carfinder: Real-time Vehicle Tracking for AUDI
A growing range of models and ever-shorter development cycles increase the demands on the manufacturing process. As a result, tracking vehicles inside and outside manufacturing facilities is essential for delay-free quality assurance and to provide transparency throughout all manufacturing steps in the automotive industry.
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