Artificial intelligence (AI) technology is rapidly transforming various industries, including government and business. As a result, many organizations are creating dedicated AI departments to leverage the benefits of this technology.

In government, AI departments are being established to help agencies better leverage AI technology to improve services and enhance citizen engagement. These departments are responsible for developing and implementing AI strategies, ensuring data privacy and security, and facilitating collaboration across agencies and departments.

One example of an AI department in government is the U.S. Department of Defense's Joint AI Center (JAIC), which was established in 2018 to accelerate the development and adoption of AI across the department. The JAIC is responsible for developing and implementing AI technologies for national defense, as well as collaborating with industry and academia to advance AI capabilities.

In business, AI departments are being created to help organizations leverage AI technology to improve efficiency, increase profitability, and enhance customer experiences. These departments are responsible for identifying and implementing AI solutions, managing data privacy and security, and facilitating collaboration across departments and business units.

One example of an AI department in business is IBM's Watson AI division, which was established in 2014 to develop and commercialize AI technologies. The Watson division is responsible for developing AI solutions for a variety of industries, including healthcare, finance, and retail, and collaborating with partners and customers to advance AI capabilities.

AI departments may be part of other departments or sections, for instance:

1. AI Research Departments: AI research departments are typically found in universities, research institutions, and technology companies. These departments conduct research and development in areas such as machine learning, natural language processing, and computer vision.

2. AI Applications Departments: AI applications departments are typically found in companies that develop and deploy AI-powered applications, such as chatbots, recommendation engines, and autonomous vehicles. These departments focus on developing and improving AI algorithms to make these applications more effective and efficient.

3. AI Ethics Departments: AI ethics departments are typically found in organizations that are concerned with the social and ethical implications of AI, such as research institutions, advocacy groups, and government agencies. These departments focus on developing ethical frameworks for AI development and deployment, and on ensuring that AI is used in a way that is aligned with human values.

4. AI Infrastructure Departments: AI infrastructure departments are typically found in companies that provide cloud computing and other infrastructure services for AI development and deployment. These departments focus on developing and maintaining the hardware and software needed to support AI algorithms and applications.

5. AI Education Departments: AI education departments are typically found in universities and educational institutions. These departments focus on developing and teaching courses in AI, machine learning, and related fields, and on training the next generation of AI professionals.

6. AI Strategy Departments: AI strategy departments are typically found in companies and organizations that are focused on developing long-term strategies for AI development and deployment. These departments may work closely with other AI departments to ensure that AI initiatives are aligned with organizational goals and values.


Accenture Applied Intelligence - Accenture plc - Dublin, Ireland.

Adobe Sensei - Adobe.

AI.gov - Making AI Work for the American People.

Alibaba DAMO Academy - Alibaba Group Holding Limited - Hangzhou, China.


Amazon AI, Amazon Machine Learning - Amazon.com, Inc. - Seattle, Washington, USA. - Amazon AI refers to Amazon Web Services' (AWS) suite of artificial intelligence (AI) and machine learning (ML) services and tools. Amazon AI provides a range of capabilities for developers, data scientists, and businesses to integrate AI and ML functionalities into their applications and services. These services are designed to be scalable, accessible through the cloud, and offer pre-trained models to simplify the implementation of AI solutions.

Amazon Augmented AI (A2I): A service that makes it easy to build workflows for human review of machine learning predictions. It allows you to create custom review workflows and improve model accuracy over time.

Amazon Comprehend: A natural language processing (NLP) service that analyzes text to extract insights such as sentiment analysis, key phrase extraction, entity recognition, and language detection.

Amazon DeepLens: An AI-enabled camera developed by AWS that allows developers to build and deploy deep learning models at the edge. It is designed for tasks such as object detection and image classification.

Amazon Forecast: A service for building time-series forecasting models, helping businesses make predictions about future trends based on historical data.

Amazon Lex: A service for building conversational interfaces (chatbots) using natural language processing. Lex is based on the same technology that powers Amazon Alexa.

Amazon Personalize: A service that facilitates the development of personalized recommendations for users based on their behavior and preferences. It is commonly used in applications like e-commerce and content recommendation.

Amazon Polly: A service that turns text into lifelike speech using deep learning technologies. Polly supports multiple languages and voices, allowing developers to add natural-sounding speech to their applications.

Amazon Rekognition: A computer vision service that analyzes images and videos to detect objects, scenes, and faces. It can also recognize celebrities, identify inappropriate content, and provide sentiment analysis.

Amazon SageMaker: A fully managed service for building, training, and deploying machine learning models. SageMaker covers the entire machine learning workflow, from data labeling and preparation to model training and deployment.

Amazon Transcribe: An automatic speech recognition (ASR) service that converts spoken language into written text. It is useful for transcription of audio and video content.

Amazon Translate: A neural machine translation service that enables developers to add real-time language translation to their applications.


Apple AI/ML - Apple Machine Learning Research - Apple Inc. - Apple continues to invest in AI technologies to further improve the intelligence and capabilities of its products. Cupertino, California, USA.

AI Departments and Institutes at Mount Sinai .

Artificial Intelligence (AI) - United States Department of State.

Artificial Intelligence and Data Analytics (AIDA) Directorate - Federal Bureau of Investigation (FBI).

AT&T Labs AI - AT&T Inc. - Bedminster, New Jersey, USA.

Baidu Research - Baidu, Inc. - Beijing, China.

Brown University - Department of Computer Science - Providence, Rhode Island, USA.

Carnegie Mellon University - School of Computer Science - Pittsburgh, Pennsylvania, USA. "Carnegie Mellon has been a leader in Artificial Intelligence (AI) research since Herbert Simon and Allen Newell invented the field in the 1950s."

Cisco AI - Cisco Systems, Inc. - San Jose, California, USA:

*Intent-Based Networking (IBN): Cisco has been promoting the concept of Intent-Based Networking, which involves using AI and machine learning to automate and optimize network operations based on the intent or desired outcomes of the network administrator. This includes features like automated network provisioning, troubleshooting, and policy enforcement.

*CISCO Network Security: Cisco employs AI and machine learning in its security solutions to detect and respond to cybersecurity threats more effectively. This includes threat detection, anomaly analysis, and behavioral analytics to identify and mitigate potential security risks.

*CISCO Collaboration Tools: Cisco has integrated AI features into its collaboration and communication tools, such as Cisco Webex. This may include AI-driven transcription services, facial recognition for video conferencing, and other features to enhance collaboration experiences.

*CISCO Cloud Services: Cisco provides cloud-based services that leverage AI for analytics, optimization, and management of resources in cloud environments. This includes solutions for multicloud networking, security, and application deployment.

*CISCO Customer Experience and Support: AI technologies may be used in Cisco's customer support and experience initiatives. Virtual assistants and chatbots powered by AI can assist customers in troubleshooting, obtaining information, and addressing support queries.

*CISCO Data Center Operations: AI is utilized in data center management to optimize performance, predict potential issues, and automate routine tasks. This can lead to improved efficiency and resource utilization.

*CISCO Meraki Cloud Networking: Cisco's Meraki product line includes cloud-managed networking solutions that may incorporate AI for monitoring and managing network devices. This simplifies the deployment and management of networks, especially for smaller businesses.

*IoT (Internet of Things): Cisco provides solutions for IoT that may leverage AI for data analytics, security, and real-time decision-making in IoT deployments.


Department of Energy (USA) - Office of Critical and Emerging Technology.

Digital Service - United Kingdom Government.

Digital Transformation Agency (DTA) - Australian Government .

Duke University - Department of Computer Science - Durham, North Carolina, USA.

ETH Zurich - Department of Computer Science - Zurich, Switzerland.

Facebook AI Research (FAIR) - Facebook AI Research (FAIR) Group - An international research organization with labs in Menlo Park, New York, Paris, Montreal, Tel Aviv, Seattle, Pittsburgh, and London.

Ford AI - (Latitude AI) - Ford Motor Company - Dearborn, Michigan, USA.

GE Research AI - GE Research - Niskayuna, New York, USA.

Georgia Institute of Technology - School of Interactive Computing - Atlanta, Georgia, USA.

Google AI & Google Research: Google AI is a department within Google that focuses on developing AI technologies and applications. They work on a wide range of AI projects, including natural language processing, computer vision, and machine learning.

IBM Watson, IBM Research: IBM Watson is a department within IBM that focuses on developing AI technologies for businesses and organizations. They provide tools and resources for AI development, including natural language processing, machine learning, and robotics. IBM Research is the research and development division of IBM (International Business Machines Corporation), one of the world's largest and oldest technology companies. IBM Research is dedicated to advancing knowledge and technology in various fields, with a focus on creating innovative solutions that address complex challenges.

Microsoft Research AI & Microsoft AI and Research: Microsoft Research AI is a department within Microsoft that focuses on developing AI technologies and applications. They work on a wide range of AI projects, including speech recognition, computer vision, and machine learning.

Facebook AI Research (FAIR): FAIR is a department within Facebook that focuses on developing AI technologies and applications. They work on a wide range of AI projects, including natural language processing, machine learning, and robotics.

Amazon Web Services (AWS) AI: AWS AI is a department within Amazon that provides tools and services for AI development. They offer natural language processing, machine learning, and robotics services, among others.

Tesla AI: Tesla AI is a department within Tesla that focuses on developing AI technologies for autonomous vehicles. They work on developing AI systems for Tesla's self-driving cars and other autonomous vehicles.

Honeywell AI - Honeywell International Inc. - Morris Plains, New Jersey, USA.

Hong Kong University of Science and Technology - Department of Computer Science and Engineering - Hong Kong.

IBM Research AI - IBM Corporation - Yorktown Heights, New York, USA.

Imperial College London - Department of Computing - London, UK.

Indian Institute of Technology Bombay - Department of Computer Science and Engineering - Mumbai, India.

Indian Institute of Technology Delhi - Department of Computer Science and Engineering - New Delhi, India.

Intel AI - Intel Corporation - Santa Clara, California, USA.

JD AI Research - JD.com, Inc. - Beijing, China.

Joint AI Center (JAIC) - U.S. Department of Defense.

KAIST - School of Computing - Daejeon, South Korea.

LG Electronics AI Lab - LG Electronics Inc. - Seoul, South Korea.

Massachusetts Institute of Technology (MIT) - Department of Electrical Engineering and Computer Science (EECS) - Cambridge, Massachusetts, USA.

Mastercard Labs AI - Mastercard Incorporated - New York, New York, USA.

National Artificial Intelligence Office - Singapore Government.

Moscow Institute of Physics and Technology - Department of Control and Applied Mathematics - Moscow, Russia.

Nanyang Technological University - School of Computer Science and Engineering - Singapore.

National Taiwan University - Department of Computer Science and Information Engineering - Taipei, Taiwan.

National University of Singapore - Department of Computer Science - Singapore.

NEC Laboratories AI - NEC Corporation - Kawasaki, Japan.

Nvidia AI - Nvidia Corporation - Santa Clara, California, USA.

Office of Educational Technology (USA) - Helping educators address variability in student learning with Artificial Intelligence.

OpenAI - San Francisco, California, USA.

Peking University - School of Electronics Engineering and Computer Science - Beijing, China.

Rakuten Institute of Technology AI - Rakuten, Inc. - Tokyo, Japan.

Salesforce Research - Salesforce.com, Inc. - San Francisco, California, USA.

Samsung Research AI Center - Samsung Electronics Co., Ltd. - Seoul, South Korea.

SAP Leonardo Machine Learning - SAP SE - Walldorf, Germany.

Seoul National University - School of Electrical and Computer Engineering - Seoul, South Korea.

Shanghai Jiao Tong University - School of Electronic Information and Electrical Engineering - Shanghai, China.

Siemens AI - Siemens AG - Munich, Germany.

Stanford University - Department of Computer Science - Stanford, California, USA.

Technical University of Munich - Department of Informatics - Munich, Germany.

Technion - Israel Institute of Technology - Department of Computer Science - Haifa, Israel.

Tel Aviv University - School of Computer Science - Tel Aviv, Israel.

Tencent AI Lab - Tencent Holdings Limited - Shenzhen, China.

Toyota Research Institute AI - Toyota Research Institute - Los Altos, California, USA.

Tsinghua University - Department of Computer Science and Technology - Beijing, China.

Uber AI - Uber Technologies, Inc. - San Francisco, California, USA.

University College London - Department of Computer Science - London, UK.

University of Amsterdam - Informatics Institute - Amsterdam, Netherlands.

University of Amsterdam - Institute for Logic, Language and Computation - Amsterdam, Netherlands.

University of Bristol - Department of Computer Science - Bristol, UK.

University of British Columbia - Department of Computer Science - Vancouver, British Columbia, Canada.

University of California, Berkeley - Department of Electrical Engineering and Computer Sciences - Berkeley, California, USA.

University of California, Irvine - Department of Computer Science - Irvine, California, USA.

University of California, Los Angeles (UCLA) - Department of Computer Science - Los Angeles, California, USA.

University of California, San Diego - Department of Computer Science and Engineering - San Diego, California, USA.

University of Cambridge - Department of Computer Science and Technology - Cambridge, UK.

University of Cambridge - Leverhulme Centre for the Future of Intelligence - Cambridge, UK.

University of Copenhagen - Department of Computer Science - Copenhagen, Denmark.

University of Edinburgh - Edinburgh Centre for Robotics - Edinburgh, UK.

University of Edinburgh - School of Informatics - Edinburgh, UK.

University of Illinois at Urbana-Champaign - Department of Computer Science - Champaign, Illinois, USA.

University of Maryland - Department of Computer Science - College Park, Maryland, USA.

University of Melbourne - School of Computing and Information Systems - Melbourne, Australia.

University of Michigan - Department of Electrical Engineering and Computer Science - Ann Arbor, Michigan, USA.

University of Montreal - Department of Computer Science and Operations Research - Montreal, Quebec, Canada.

University of Oxford - Department of Computer Science - Oxford, UK.

University of Southern California - Department of Computer Science - Los Angeles, California, USA.

University of Sydney - School of Computer Science - Sydney, Australia.

University of Tokyo - Department of Information Science and Technology - Tokyo, Japan.

University of Toronto - Department of Computer Science - Toronto, Ontario, Canada.

University of Washington - Paul G. Allen School of Computer Science & Engineering - Seattle, Washington, USA.

University of Waterloo - David R. Cheriton School of Computer Science - Waterloo, Ontario, Canada.

University of Zurich - Department of Informatics - Zurich, Switzerland.

Visa Research - Visa Inc. - Foster City, California, USA.

These departments play, and/or have played an important role in developing and implementing AI solutions that can improve services, increase efficiency, and enhance the customer experience.

Artificial Intelligence Departments: Google Results & Bing Results.

© 2024 AIDepartments.com