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IBM: History, Culture, Research & Companies

International Business Machines Corporation, doing business as IBM (nicknamed Big Blue), is an American multinational technology company headquartered in Armonk, New York, and present in over 175 countries. It is a publicly traded company and one of the 30 companies in the Dow Jones Industrial Average. IBM is the largest industrial research organization…

Language: English [EN]
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IBM topic overview

The analysis highlights History, Culture, Research and Companies as prominent areas in the source structure around IBM. 1 topic appears in more than one source area, which can help identify connections that are less obvious in a linear reading.

Related topics
446
Source areas
8
Connected nodes
455
Extracted relationships
374
Concept neighborhoods
86
Bridge connections
455

What this topic covers Research coverage

Source areas are shown by the number of related topics found in each part of the analysis. Use smaller areas too: they can reveal specialized angles and content gaps.

Overview · 162 topics
History · 115 topics
Corporate affairs · 60 topics
Products · 41 topics
Research · 34 topics
Brand and reputation · 17 topics
Leadership · 12 topics
People and culture · 6 topics

Smaller areas are not necessarily less important. They contain fewer connections in this analysis and can be useful for finding specialized angles or coverage gaps.

Key facts & relationships

High-confidence facts extracted from structured source data. Use them as anchors for further research.

Founded
June 16, 1911; 115 years ago (1911-06-16) (as Computing-Tabulating-Recording Company) Endicott, New York, U.S.
Founders
George Winthrop Fairchild · Charles Ranlett Flint · Herman Hollerith
Industry
Information technology
Headquarters
1 Orchard Road, Armonk, New York, United States
Area served
170 countries
Brands
Red Hat · Watson · Watsonx · SPSS · Cognos

Explore all related topics Closing gaps

Browse the complete topic structure, not only the most central items. Less prominent entities and concepts can reveal missing angles, specialized context and useful research gaps. Each item opens a new analysis centered on that subject.

Overview

History

Corporate affairs

Products

Research

Brand and reputation

People and culture

Leadership

Advanced semantic analysis

Deeper signals for content research, entity SEO and topical coverage. The plain-language headings explain what each technical view is useful for.

How IBM connects Entity context

The extracted context around IBM shows recurring relationship patterns in the source. For example, IBM → Alexander Dey, Asia, Australia, Binghamton, By, Canada, Charles Ranlett Flint, Collectively, Computing-Tabulating-Recording Company, CTR, CTR's, CTR's Canadian Division, Dayton, Detroit, During Watson's, Electric Tabulating Machine, Endicott, Europe, February, Flint Another extracted example is IBM → Africa, Almaden, Austin, Australia, Bangalore, Beijing, Brazil, California, China, Columbia University, Delhi, Dublin, Haifa, IBM Research, IBM's, In, India, Ireland, Israel, Janeiro. Use these groups to spot repeated connection types before inspecting the individual relationships.

IBM

Top relations

related to 1910s–1950s · 46
IBM → Alexander Dey, Asia, Australia, Binghamton, By, Canada, Charles Ranlett Flint, Collectively, Computing-Tabulating-Recording Company, CTR, CTR's, CTR's Canadian Division, Dayton, Detroit, During Watson's, Electric Tabulating Machine, Endicott, Europe, February, Flint
related to Research · 38
IBM → Africa, Almaden, Austin, Australia, Bangalore, Beijing, Brazil, California, China, Columbia University, Delhi, Dublin, Haifa, IBM Research, IBM's, In, India, Ireland, Israel, Janeiro
related to Headquarters and offices · 31
IBM → Armonk, Astor Place, Austin, California, Center, CHQ, Colossus, Gerstner, IBM Learning Center, IBM Watson, IBM's, ILC, In New York City, Its, Jr, Learning, Louis, Manhattan, Midtown Manhattan, Minnesota
related to 2010s–present · 29
IBM → Also, Apple Inc, Box, Brad Rutter, Cisco, CSC, Davao City, Facebook, IBM-owned, In, Jeopardy, June, Ken Jennings, Kenexa, Lenovo, Macy's, Microsoft, Power ISA-based, Salesforce, Sesame Street
related to Brand and reputation · 25
IBM → American, As, Aside, Augusta National Golf Club, Australian Open, Big Blue, French Open, Helvetica, IBM CEO Ginni Rometty, IBM Plex, In Japan, It, Japanese X-League, Master's, Masters, Masters Tournament, National Football League, Olympic Games, Open, Paul Rand
related to 1960s–1980s · 20
IBM → Also, American Airlines, Apollo, Armonk, Bicycle Built, Daisy Bell, Gemini, In, Mercury, NASA, New York, New York City, Registry, SABRE, Saturn, Saturn V's Instrument Unit, Selectric, The, Two, United States National Recording
related to Board and shareholders · 19
IBM → Anthem, Berkshire Hathaway, Buffett, CEOs, Cornell University, Dow Chemical, In, Initially, Johnson, March, May, Navy, Over, Royal Dutch Shell, The, UPS, Vanguard, Vanguard Group, Warren Buffett's
related to Workplace culture · 17
IBM → Always An IBMer, CEO Louis, Computerworld, During IBM's, Employees, Gerstner Jr, I'm Being Mentored, I'm By Myself, I've Been Moved, IBM's, IBMers, In, It's Better Manually, Once An IBMer, Similar IBM, The, United States
related to Cloud services · 16
IBM → Additionally, Amazon Web Services, AWS, AWS Marketplace, Cloud Data Encryption Services, For, IaaS, IBM Bluemix PaaS, IBM Cloud, IBM SoftLayer, IBM's, ICDES, In May, PaaS, SaaS, Strategic Collaboration Agreement
related to Artificial intelligence · 14
IBM → American, Brad Rutter, Center, CompStat, Department, For, IBM Cognos Analytics, IBM Watson, Jeopardy, Ken Jennings, Memorial Sloan Kettering Cancer, New York City Police, Several, Watson

Important terminology

Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.

Important terminology

company watson business former also computer ibm's new first billion software employees data computers companies technology york announced systems computing

IBM relationships Subject–Predicate–Object triples

TTTA extracted 374 structured relationships around IBM. Examples in this analysis include IBM → Area served → 170 countries and IBM → Brands → Red Hat. The table shows each extracted connection, where it came from and its confidence.

SubjectPredicateObjectConfidenceSrc
IBMArea served170 countries1.00infobox
IBMBrandsRed Hat1.00infobox
IBMBrandsWatson1.00infobox
IBMBrandsWatsonx1.00infobox
IBMBrandsSPSS1.00infobox
IBMBrandsCognos1.00infobox
IBMBrandsWebSphere1.00infobox
IBMBrandsTivoli1.00infobox
IBMBrandsILOG1.00infobox
IBMBrandsIBM Z1.00infobox
IBMBrandsHashiCorp1.00infobox
IBMBrandsFull list1.00infobox
IBMFormerlyComputing-Tabulating-Recording Company (1911–1924)1.00infobox
IBMFoundedJune 16, 1911; 115 years ago (1911-06-16) (as Computing-Tabulating-Recording Company) Endicott, New York, U.S.1.00infobox
IBMFoundersGeorge Winthrop Fairchild1.00infobox
IBMFoundersCharles Ranlett Flint1.00infobox
IBMFoundersHerman Hollerith1.00infobox
IBMHeadquarters1 Orchard Road, Armonk, New York, United States1.00infobox
IBMIndustryInformation technology1.00infobox
IBMISINISIN: US45920010141.00infobox
IBMKey peopleArvind Krishna (chairman & CEO)1.00infobox
IBMKey peopleGary Cohn (vice chairman)1.00infobox
IBMNet incomeUS$10.59 billion (2025)1.00infobox
IBMNumber of employees264,300 (2025)1.00infobox
IBMOperating incomeUS$10.99 billion (2025)1.00infobox
IBMPredecessorsBundy Manufacturing Company1.00infobox
IBMPredecessorsComputing Scale Company of America1.00infobox
IBMPredecessorsInternational Time Recording Company1.00infobox
IBMPredecessorsTabulating Machine Company1.00infobox
IBMPredecessorsComputing-Tabulating-Recording Company1.00infobox

Related concept clusters Concept neighborhoods

The concept neighborhoods around IBM bring nearby vocabulary together. In this analysis, examples include Company, Computer and Also. Use the clusters to find adjacent concepts and terminology that may deserve separate research.

  • IBM
    • Company
    • Computer
    • Also
    • Announced
    • Technology
    • Software
    • First
    • New
    • Employees
    • Computers
    • Billion
    • Market
  • ibm
    • Company
    • Computer
    • Also
    • Announced
    • Technology
    • Software
    • First
    • New
    • Employees
    • Computers
    • Billion
    • Market
  • doing business as
    • Computers
    • Patents
    • Watson
    • Systems
    • Technology
    • Ceo
    • Computer
    • Personal
    • Years
    • Market
    • Ibm
    • York
  • technology company
    • Largest
    • Also
    • Technology
    • Services
    • States
    • United
    • Ibm
    • One
    • Announced
    • Software
    • York
    • Billion
  • armonk, new york
    • New
    • York
    • Research
    • Include
    • Technology
    • Watson
    • Ibm's
    • Companies
    • Business
    • Since
    • World
    • Employees
  • publicly traded company
    • Also
    • Technology
    • Ibm
    • Announced
    • Software
    • Billion
    • Companies
    • Patents
    • New
    • Services
    • One
    • Year
  • patents
    • Years
    • Research
    • World
    • Cloud
    • Ceo
    • Since
    • Computing
    • Services
    • States
    • United
    • Time
    • One
  • computing-tabulating-recording company
    • Also
    • Technology
    • Ibm
    • Announced
    • Software
    • Billion
    • Companies
    • Patents
    • New
    • Services
    • One
    • Year

Connections between topic areas Semantic bridges

For IBM, one of the stronger structural bridges in this analysis connects IBM with Overview. Bridges highlight paths between different parts of the map and can reveal research angles that are easy to miss in a flat list.

Min side: 3
IBMOverview · splits 293 ⟂ 163
IBMHistory · splits 340 ⟂ 116
IBMCorporate affairs · splits 395 ⟂ 61
IBMProducts · splits 414 ⟂ 42
IBMResearch · splits 421 ⟂ 35
IBMBrand and reputation · splits 438 ⟂ 18
IBMLeadership · splits 443 ⟂ 13
IBMPeople and culture · splits 449 ⟂ 7

Map overview Semantic statistics

IBM

Nodes456
Edges455
Triples374
Avg. degree2
Density0.004386
Components1

Source & methodology

TTTA analyzes the structure around IBM to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as History, Culture, Research & Companies, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.

Source: Wikipedia — IBM · EN edition · Analysis: TopicsToTalkAbout

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