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Coursera
coursera.org › coursera articles › data › ai and machine learning › 20 examples of generative ai applications across industries
20 Examples of Generative AI Applications Across Industries | Coursera
June 3, 2025 - Explore 20 generative AI applications across six industries, including health care, advertising and marketing, manufacturing, software development, financial services, and entertainment.
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Google Cloud
cloud.google.com › use-cases › generative-ai
What is Generative AI? Examples & Use Cases | Google Cloud
Building on this success, GPT-2 and GPT-3 further showcased the immense potential of generative AI, captivating the world with their impressive text generation capabilities. Meanwhile, variational autoencoders (VAEs) and diffusion models made strides in image synthesis, opening up new possibilities for creative applications.
People also ask

What are the popular generative AI products?
GPT by OpenAI: This is an advanced language model series known for its ability to generate coherent and contextually relevant text based on given prompts. It's used in applications like chatbots, content creation, and language translation.DALL-E by OpenAI: A specialized AI for generating images from textual descriptions, DALL-E is known for its creativity and ability to create complex and detailed images based on specific prompts.DeepMind's AlphaFold: This AI system is used for predicting protein structures with remarkable accuracy, which is a significant advancement in biological research and
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research.aimultiple.com
research.aimultiple.com › home › aimultiple research › genai applications
Top 123 Generative AI Applications & Real-Life Examples
When should I not use generative AI?

Focusing exclusively on GenAI is a guarantee to fail. To unlock the full potential of AI, adopt a holistic approach that integrates GenAI with alternative AI techniques, ensuring that investments are aligned with real business needs and not limited by the hype cycle of any single technology.

In particular, avoid using GenAI for:

  • Prediction and forecasting: GenAI models are not well-suited for tasks that require numerical predictive modeling. They lack the explicit optimization and planning capabilities necessary for valuable forecasting tasks. Alternative AI techniques, such as traditional machine learning models, are more reliable for these use cases.

  • Critical decision intelligence: The models may produce inaccurate or misleading outputs that inform poor decisions. Use alternative AI techniques that provide more robust and interpretable results for decision-making processes. 

  • Handling sensitive data: When dealing with proprietary, sensitive or confidential information, using GenAI — especially public instances — can introduce risks related to data privacy and security. 

  • Complex problem domains: GenAI may struggle where there is limited training data or where the relationships between data points are not well understood. In such cases, simpler AI techniques or rule-based systems may yield better results.

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gartner.com
gartner.com › en › topics › generative-ai
Enterprise Guide to Generative AI: Expert Insights on ROI, Use ...
What is the difference between ChatGPT and generative AI?
ChatGPT is a specific type of generative AI. While generative AI broadly refers to AI systems that create new content, like text, images, or music, ChatGPT focuses specifically on generating human-like text based on the input it receives, often used for conversation, answering questions, and similar language-based tasks.
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research.aimultiple.com
research.aimultiple.com › home › aimultiple research › genai applications
Top 123 Generative AI Applications & Real-Life Examples
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AIMultiple
research.aimultiple.com › home › aimultiple research › genai applications
Top 123 Generative AI Applications & Real-Life Examples
To achieve realistic outcomes, the discriminators serve as a trainer who accentuates, tones, and/or modulates the voice. The TTS generation has multiple business applications, such as education, marketing, podcasting, and advertising.
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IoT Analytics
iot-analytics.com › home › the top 10 enterprise generative ai applications – based on 530 real-world projects
The top 10 enterprise generative AI applications
May 6, 2025 - Example of Evozyne ProT-VAE model ... of projects. Generative AI can help simulate scenarios, analyze data, and predict outcomes, aiding in decision-making processes across various industries....

artificial intelligence model capable of generating content in response to a prompt

Generative artificial intelligence - Wikipedia
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Generative artificial intelligence (Generative AI, or GenAI) is a subfield of artificial intelligence that uses generative models to generate text, images, videos, audio, software code or other forms of data. These models … Wikipedia
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Wikipedia
en.wikipedia.org › wiki › Generative_artificial_intelligence
Generative artificial intelligence - Wikipedia
1 day ago - In 2017, the Transformer network enabled advancements in generative models compared to older long short-term memory (LSTM) models, leading to the first generative pre-trained transformer (GPT), known as GPT-1, in 2018. In March 2020, the release of 15.ai, a free web application created by an anonymous MIT researcher that could generate convincing character voices using minimal training data, marked one of the earliest popular use cases of generative AI.
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GeeksforGeeks
geeksforgeeks.org › artificial intelligence › generative-ai-applications
Generative AI Applications - GeeksforGeeks
July 23, 2025 - Games can use generative AI to create adaptive stories or environments that change and evolve based on the interaction of the player, offering them a unique experience each. Pokémon Go: This is a highly addictive mobile game where people take pictures of virtual Pokémon's in real-world locations and prompt them to be more physical and explore their surroundings. Duolingo : It is a language-learning application that integrates game elements into the experience, including badges, levels, and leader boards, to encourage people as well as make learning experience more enjoyable.
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Gartner
gartner.com › en › topics › generative-ai
Enterprise Guide to Generative AI: Expert Insights on ROI, Use Cases, and Cost Management
September 24, 2025 - Gartner clients lean on our AI Use Case Insights to explore, evaluate and prioritize 1,000+ proven AI use cases and real-world case studies tailored to their industries. These are a sampling: ... Use case: Automated content generation for marketing materials, social media posts and personalized customer communications
Find elsewhere
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Quantiphi
quantiphi.com › blog › generative-ai
Generative AI: Applications, Use Cases, and Examples | Quantiphi - Quantiphi
Learn about Generative AI, its applications, use cases, examples, and more to understand how it can enhance productivity across different industries.
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eWEEK
eweek.com › home › artificial intelligence
10 Top Generative AI Tools: Today’s Creative Powerhouses
January 8, 2025 - Microsoft Copilot is a generative AI tool for boosting productivity and streamlining workflows in business environments. It is especially beneficial for Microsoft applications, such as Word, Excel, PowerPoint, and Teams. This tool can aid you in drafting emails, rewriting documents, summarizing web page content, and generating images.
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Turing
turing.com › resources › generative-ai-applications
Top Generative AI Industry Applications & Use Cases
March 27, 2025 - The advent of prominent generative AI tools like ChatGPT and Midjourney has prompted many to better understand what generative AI is. Moreover, generative AI applications and tools are empowering both organizations and individuals to automate tedious tasks, make better decisions, and streamline operations for maximum efficiency.
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IBM
ibm.com › think › topics › generative-ai-use-cases
Generative Use Cases, Examples, & Applications | IBM
November 17, 2025 - On the other hand, Generative AI can stretch the computing budget. 73% of executives agree that gen AI can make their use of computing resources more efficient—and they’re already putting this theory into practice. For example, 67% of organizations are using gen AI to accelerate the development of new and more efficient models, algorithms and applications...
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AI Accelerator Institute
aiacceleratorinstitute.com › the-5-primary-generative-ai-applications-and-how-they-work
The 5 primary generative AI applications (and how they work)
March 15, 2025 - Video/visual applications: Tools, like DALL·E, Midjourney, and Sora transform textual descriptions into visual art, enabling rapid prototyping in design and entertainment. Generative AI audio models use machine learning techniques, artificial intelligence, and algorithms to create new sounds from existing data.
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Google Cloud
cloud.google.com › transform › 101-real-world-generative-ai-use-cases-from-industry-leaders
Real-world gen AI use cases from the world's leading organizations | Google Cloud Blog
April 12, 2024 - Dun & Bradstreet, a business research and intelligence service, built an email-generation tool with Gemini that helps sellers create tailored, personalized communications to prospects and customers for its research services. The company also developed intelligent search capabilities to help users with complex queries like, "Find me all the companies in this area with a high ESG rating." Cognizant used Vertex AI and Gemini built an AI agent to help legal teams draft contracts, assign risk scores and make recommendations for ways to optimize operational impact.
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SEO.AI
seo.ai › blog › generative-ai-applications
Top 14 Generative AI Applications in 2025
This human generator AI site is a web platform that employs artificial intelligence techniques, such as Generative Adversarial Networks (GANs), to create highly realistic images of human faces or bodies. Users can customize these images by altering attributes like age, gender, ethnicity, and facial expression, making them suitable for various applications such as entertainment, design, advertising, or research.
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XenonStack
xenonstack.com › blog › generative-ai-use-cases
Top Generative AI Use Cases and Applications
April 3, 2025 - Generative AI is a type of artificial intelligence that can generate new content and ideas, including conversations, stories, images, videos, and more. It is supported by foundation models that are pre-trained on large amounts of data.
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Leeway Hertz
leewayhertz.com › insights › generative ai use cases and applications
Generative AI: Use cases, applications, solutions and implementation
September 22, 2025 - The emergence of diverse AI applications and tools has enabled businesses to automate repetitive tasks, making operations more efficient and effective. By uncovering hidden correlations and trends, AI opens doors to innovative solutions and strategic foresight. Industries ranging from finance and healthcare to manufacturing and marketing benefit from AI’s ability to process and interpret data at scale. Although many AI algorithms exist, generative AI has gained prominence across industries.
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Databricks
databricks.com › discover › generative-ai
What Is Generative AI? | Databricks
In healthcare, generative AI models can help with the discovery of new drugs by creating graphs to show new chemical compounds and molecules. AstraZeneca already uses AI for drug discovery and, by 2025, it’s estimated that more than 30% of new drugs and materials will be discovered using GenAI technology. These models can also suggest new compounds to test, identify suitable trial candidates and fine-tune medical image analytic applications with synthetic images.
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TechTarget
techtarget.com › searchenterpriseai › feature › Real-world-GenAI-applications-across-leading-industries
20 Real-World Examples of GenAI Applications Across Leading Industries
GenAI accelerates time to insight for operators, technicians, process engineers and plant managers. For example, at Koch Industries, facility operators use C3 Generative AI to query the system in natural language for comprehensive reports on ...
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Gartner
gartner.com › all categories › generative ai apps (transitioning to ai knowledge management apps/ general productivity)
Best Generative AI Apps Reviews 2025 | Gartner Peer Insights
Generative AI refers to technologies that can generate new derived versions of content, strategies, designs and methods by learning from large repositories of original source content.
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IBM
ibm.com › think › topics › generative-ai
What is Generative AI? | IBM
2 days ago - Truly generative AI models deep learning models that can autonomously create content on demand have evolved over the last dozen years or so. The milestone model architectures during that period include · Variational autoencoders (VAEs), which drove breakthroughs in image recognition, natural language processing and anomaly detection. Generative adversarial networks (GANs) and diffusion models, which improved the accuracy of previous applications and enabled some of the first AI solutions for photo-realistic image generation.