What Is Generative AI (Gen AI)?
Generative AI (also called GenAI or Gen AI) refers to a new suite of tools that can generate a wide variety of rich media content, written text, and more. By leveraging state-of-the-art AI, these tools can support the enterprise by producing valuable assets ranging from software code to images, video, and text.
Generative AI can create original media content, synthetic data, and models of physical objects to enable unique opportunities for transformation and growth. Gen AI can also automate legacy content processes to power up the way enterprises create content and get work done. Enterprise architecture and technology innovation leaders must evaluate the various use cases for applying generative AI in their organizations.
Stay Ahead of the Curve - Understand the Top GenAI Trends!
- Gain a competitive edge: Understand how generative AI can revolutionize your industry and identify opportunities for innovation.
- Make informed decisions: Explore the potential applications of generative AI in various business functions, from marketing and sales to product development and customer service.
- Stay ahead of the curve: Discover emerging trends and anticipate the future impact of generative AI on your business.
- Generative AI tools reduce the time and cost of content, boosting productivity and profitability.
- The rise of generative AI also breeds innovation, paving the way for new business models and applications.
- Generative AI is still only in its infancy, with emerging research and technologies regularly disrupting the market.
- There are outstanding questions of copyright and data security risk involved with generative AI that should be considered.
It can be overwhelming for enterprise leaders to stay updated with this rapidly-changing market on top of their regular operations. This is where Aragon Research steps in!
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Generative AI for Marketing 2025
Generative AI is a natural fit for marketing teams, where it can automate and optimize the production of digital content. In this Research Note, we review the ways that generative AI tools are being harnessed right now by marketing professionals to drive growth and provide advice to buyers and providers about this emerging market.
Three Hot Use Cases in Generative AI
Generative AI is a natural fit for marketing teams, where it can automate and optimize the production of digital content. In this Research Note, we review the ways that generative AI tools are being harnessed right now by marketing professionals to drive growth and provide advice to buyers and providers about this emerging market.
Special Report: Generative AI
As new AI tools are emerging that enable enterprises to generate digital assets, Aragon Research provides reports that define Generative AI, overview the key market trends and its leading providers, and offers advice on leveraging AI for content creation. These reports provide valuable insights for business leaders navigating this innovative technology landscape.
The Next Boom: Vertical Generative AI Solutions
While generalized large language models have emerged, the next boom in generative AI will be driven by industry-specific models tailored to particular applications. These specialized models will be more efficient and effective for targeted tasks.
What are Generative AI Prompts?
Generative AI prompts are instructions given to an AI model to generate creative content like text, images, and music. Learn more about AI prompts.
What Is Generative AI?
Generative AI is a revolutionary technology that allows machines to autonomously create content such as text, images, and music. This form of artificial intelligence has the potential to redefine how we approach creativity and content creation.
AI Is Here: Is Your Enterprise Ready for Intelligent Assistants?
The age of artificial intelligence (AI) isn’t on the horizon; it’s here. From customer service chatbots to data analysis powerhouses, intelligent assistants and generative AI tools are transforming how businesses operate. But are you prepared to harness their potential?
Corporate Learning at a Crossroads: Embracing Generative AI for a Competitive Edge
Generative AI is revolutionizing corporate learning by providing access to up-to-date information and personalized skill development, making traditional training methods obsolete.
Trends In Generative AI, 2024
Generative AI represents a new business transformation opportunity for the enterprise. This Research Note delves into why prompt engineering is critical for your business to leverage the full potential of these powerful AI tools.
Frequently Asked Questions About Generative AI
What is Generative AI?
Generative AI is a type of artificial intelligence that can create new, original content, such as text, images, audio, and code, based on the data it was trained on.
What are the different types of Generative AI models?
Common types include:
- Large Language Models (LLMs): Generate text (e.g., GPT-5).
- Diffusion Models: Create images and videos (e.g., DALL-E, Midjourney).
- Generative Adversarial Networks (GANs): Produce realistic images and other data.
- Transformers: A foundational architecture used in many LLMs and other models.
Is ChatGPT the same as Generative AI?
No, ChatGPT is a specific application of Generative AI. It is a chatbot built on a large language model (LLM) that uses Generative AI to produce conversational text.
What is an example of Generative AI?
An example is using a text-to-image model like DALL-E, which can generate a realistic image of "a cat wearing a spacesuit riding a skateboard" from a simple text description.
What is the difference between AI and Generative AI?
AI is a broad field of study focused on creating intelligent machines. Generative AI is a specific subset of AI that focuses on creating new content, as opposed to other AI types that are used for tasks like classification or prediction.
What are the risks of Generative AI?
Key risks include:
- Misinformation and deepfakes: Creating convincing but false content.
- AI hallucinations: Large language models can generate misleading results because they do not have an internal sense of what is true and false.
- Bias: AI models can inherit and amplify biases from their training data.
- Copyright issues: Uncertainty about ownership of AI-generated content and the use of copyrighted data for training.
- Job displacement: The potential for automation to impact certain jobs.
What is the role of a "prompt" in Generative AI?
A prompt is the input, usually text, that a user gives to a Generative AI model to guide its output. It acts as the instructions or query that tells the AI what to create.
What are the most common uses of Generative AI?
Common uses include:
- Content creation: Writing articles, social media posts, and marketing copy.
- Coding: Generating code, debugging, and assisting with software development.
- Art and design: Creating images, logos, and digital art.
- Research: Summarizing documents and generating hypotheses.
- Customer service: Powering chatbots and virtual assistants.
Aragon Delivers Results - Our Approach to Generative AI
To understand Aragon Research’s approach to Generative AI and how you should be planning to implement the best-fit tools and strategies for your business, meet with one of our senior analysts who have been monitoring the fast-growing market.
