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IBM

Size

305978

Website

ibm.com

HQ

Armonk, New York, US

Public/Private

Public Company

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About the company

IBM infuses core business operations with intelligence, from machine learning to generative AI, to make organizations more responsive, productive, and resilient. It helps clients put AI into action now, creating real value with trust, speed, and confidence across various areas like digital labor, IT automation, and security. The ability to utilize all data is critical, as AI's effectiveness is dependent on the quality of data fueling it, with IBM's AI, and data platform aiming to scale and accelerate AI's impact with trusted data. IBM's hybrid cloud platform offers a comprehensive approach to development, security, and operations across hybrid environments, laying a flexible foundation for leveraging data wherever it resides.

AI Skills and Tools in jobs at IBM

AI
Amazon Transcribe
Anomaly Detection
Apache Spark
Azure Databricks
Big Data
Chatbot
CNNS
Computer Vision
Conversational AI
Data
Data Analysis
Data Architect
Data Collection
Data Engineer
Data Exploration
Data Factory
Data Infrastructure
Data Integrations
Data Lakes
Data Mining
Data Modelling
Data Science
Decision Trees
Deep Learning
Explainable Ai
Feature Engineering
Fine Tuning
Flair
foundation model
Generative AI
Hadoop
Hive
HuggingFace
Inference
Information Retrieval
Jupyter Notebook
Knowledge Graphs
Linear Regression
LLMs
Logistic Regression
Machine Learning
ML Ops
Neural networks
NLP
NLU
OCR
Predictive Modelling
Presto
Prompt Engineering
RAG
Random Forests
Reinforcement Learning
RNNs
Scikit-learn
Sentiment Analysis
Stable Diffusion
Supervised Learning
Text Classification
Time Series
Unsupervised Learning
Vector Database
Vertex AI

Other Languages, Tools, Libraries and Frameworks used at IBM

Ruby On Rails
Vue.js
React Native
Next.js
Java Spring
Selenium WebDriver
Identity Access Management
WebSphere
Java
JavaScript
CSS
HTML
C#
SCALA
S3
XML
Assembly Language
C
Groovy
S
JWT
React
AD
Ansible
Selenium
React Redux
SQL
C++
DASH
Senior
Manager
Junior
Tech Lead
Consultant
Team Lead
IOS
Kubernetes
Rest
Docker
GCP
Linux
Git
GitHub
MySQL
Kafka
Jira
SalesForce
Flow
Jenkins
Tableau
SnowFlake
Elasticsearch
Bash
Unix
Power BI
Oracle
MS Office
HTTP
EC2
SQL Server
RDS
FirmWare
Prometheus
ARM
Grafana
BigQuery
Spring Boot
Lambda
DNS
MS SQL
PowerPoint
EKS
Shell Script
ECS
Shell
GRPC
SAP
ELK
SDK
CISSP
Red Hat
Azure DevOps
MS SQL Server
MS Excel
RHEL
GitLab CI
NIST
Boost
JVM
AWS Lambda
Verilog
TLS
CLI
Linux Kernel
Visual Studio
SAS
LDAP
MQ
NPM
IBM
Event Driven
OpenStack
Windows Server
KVM
SonarQube
Embedded Linux
IDE
SpringBoot
DOTS
ISO 27001
Azure Data Factory
Linux System Administration
OpenShift
Core Java
AWS S3
Linux Server
GCS
MES
Oracle DB
Spark SQL
Cloud Formation
Dynamo
AWS Glue
VBA
Composer
Travis
Java EE
HCM
CEPH
Yocto
OData
Oracle SQL
Java 11
Dynamics 365
VLAN
DB2
JSP
Cloud Foundry
SAP HANA
XSLT
VMWare VSPhere
Microsoft Dynamics 365
STL
Adobe Illustrator
IBM DB2
JNI
Sparks
SAP ERP
SAP Fiori
Python
AWS
GO

Company’s Key products

IBM’s key products and services can be categorized into several main segments:

Software

  • IBM offers a wide range of software solutions, including:
    • Watson and Watsonx: AI and data platforms for business, featuring tools like Assistant, Discovery, Natural Language Understanding, and more.
    • Db2: Relational database management system (DBMS).
    • Cognos Analytics: Business intelligence suite for data analysis and insights.
    • InfoSphere DataStage: A scalable ETL platform for data integration.
    • IBM Cloud Paks: Integrated software solutions for security, integration, automation, and more, designed for hybrid cloud environments.

Consulting

  • IBM provides consulting services focused on:
    • Digital transformation
    • Cloud modernization
    • Application operations
    • Business transformation
    • AI deployment and data consulting.

Infrastructure

  • This includes:
    • Hybrid Cloud Solutions: Red Hat OpenShift, IBM Cl

How is the company using AI?

IBM utilizes artificial intelligence (AI) in a variety of ways to solve real business problems and drive transformation across different industries. Here are some key aspects of how IBM uses AI:

Adaptive AI Solutions

IBM’s adaptive AI solutions are designed to address specific business needs with an open, enterprise-grade approach. This includes using the right AI models and training data, ensuring secure access to data, and prioritizing safety and compliance through a holistic AI governance approach.

Watsonx.ai Platform

The IBM watsonx.ai platform integrates generative AI and traditional machine learning (ML) to provide an end-to-end AI lifecycle management. It allows businesses to build, tune, and deploy AI models quickly, using minimal data and advanced prompt-tuning capabilities. The platform supports both open-source and proprietary foundation models, such as the Granite models, and enables the creation of custom AI applications.

Business Use Cases

IBM’s AI solutions are applied across various business use cases, including: - Customer Interactions: Using conversational AI, natural language pr

Company Mission & Values

IBM’s key mission and values can be summarized as follows:

Mission Statement

IBM’s mission statement is: “To lead in creating, developing, and manufacturing the industry’s most advanced information technologies, including computer systems, software, networking systems, storage devices, and microelectronics. And our worldwide network of IBM solutions and services professionals translates these advanced technologies into business value for our customers. We translate these advanced technologies into value for our customers through our professional solutions, services, and consulting businesses worldwide.”

Key Components of the Mission

  • Leadership in Advanced Information Technologies: IBM aims to lead in the creation, development, and manufacture of advanced technologies.
  • Global Network: The company leverages its worldwide network of professionals to deliver these technologies.
  • Value Creation for Customers: IBM translates these technologies into business value through its professional solutions, services, and consulting businesses.

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Generative AI
\\\\Introduction\\\\Join us for a unique 12-month paid internship at the IBM Research Africa lab in Johannesburg, South Africa. This program will give you an opportunity to work on meaningful technolo...
Johannesburg, South Africa
Internship
Machine Learning
Data Science
Generative AI
ML Ops
\\\\Introduction\\\\At IBM, work is more than a job - it's a calling: To build. To design. To code. To consult. To think along with clients and sell. To make markets. To invent. To collaborate. Not ju...
USA
Temporary
Machine Learning
Data Science
Generative AI
ML Ops
\\\\Introduction\\\\At IBM, work is more than a job - it's a calling: To build. To design. To code. To consult. To think along with clients and sell. To make markets. To invent. To collaborate. Not ju...
Irvine, CA, USA
Temporary
Machine Learning
Data Science
Generative AI
ML Ops
\\\\Introduction\\\\At IBM, work is more than a job - it's a calling: To build. To design. To code. To consult. To think along with clients and sell. To make markets. To invent. To collaborate. Not ju...
Plano, TX, USA
Temporary
Machine Learning
Data Science
Generative AI
ML Ops
\\\\Introduction\\\\At IBM, work is more than a job - it's a calling: To build. To design. To code. To consult. To think along with clients and sell. To make markets. To invent. To collaborate. Not ju...
Baton Rouge, LA, USA
Temporary
Machine Learning
Data Science
Generative AI
ML Ops
\\\\Introduction\\\\At IBM, work is more than a job - it's a calling: To build. To design. To code. To consult. To think along with clients and sell. To make markets. To invent. To collaborate. Not ju...
Buffalo, NY, USA
Temporary
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