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GenAI Applications

GenAI applications use AI models to create content, automate tasks, and boost productivity across business areas, helping teams choose and apply tools effectively.

Explore GenAI Applications

Enterprise Generative AI: 10+ Use Cases & Best Practices

GenAI ApplicationsDec 8

Generative AI (GenAI) presents novel opportunities for enterprises compared to middle-market companies or startups including: However, generative AI brings challenges unique to large organizations. For example: Explore our practical enterprise AI use cases to learn how large companies can build, deploy, and govern their own generative AI models effectively.

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GenAI ApplicationsNov 13

Generative AI in Insurance: 10 Use Cases & 5 Challenges

Generative Artificial Intelligence (AI) emerges as a promising solution, capable of not only streamlining operations but also innovating personalized services, despite its potential implementation challenges. The insurance value chain, from product development to claims management, is a complicated process.

GenAI ApplicationsNov 12

AI Video Pricing: Compare Runway, Synthesia & Invideo AI

AI video pricing can differ significantly across platforms, influenced by factors such as output quality, customization options, and features. As more businesses and creators turn to AI for efficient video production, understanding these pricing models becomes essential.

GenAI ApplicationsNov 7

Generative AI in Marketing: AdsGency AI, Creatify & Jasper

A survey of 5,000 marketers worldwide revealed that their top priority was “implementing or leveraging AI”, showing a growing recognition of its potential in marketing. In particular, generative AI is becoming a critical component of marketing operations, offering capabilities that support more efficient content production, data-driven decision-making, and enhanced content scalability, personalization, and campaign optimization.

GenAI ApplicationsOct 28

GPT-5: Best Features, Pricing & Accessibility in 2026

We now have GPT-5, the latest and one of the most advanced language models. GPT-4 vs. GPT-5 The interactive comparison below shows how GPT-5 differs from GPT-4 across architecture, performance, and pricing. Historical Progression Release & Architecture What’s Different in GPT-5 Multiple Models, One System GPT-4 ran every prompt through the same model.

GenAI ApplicationsOct 22

Top 7 AI Content Assistants: Features & Use Cases in 2026

We compared the top 7 AI content assistants based on their key features, pricing plans, and target audiences, and suggest: Top 7 AI content assistants Note: The table is sorted alphabetically. Feature comparison See AI content assistant features for details on each feature.

GenAI ApplicationsOct 17

Top 12 ChatGPT Survey Research Use Cases & Tips [2026]

ChatGPT generated gamified survey question

GenAI ApplicationsOct 15

AI Text Generation: Top 16 Use Cases & 4 Case Studies

Generative AI, a subset of artificial intelligence, allows for creating new content, such as text, code, images, designs, and videos, by learning from and building on existing data. Explore how generative AI can be used to generate content in the form of text via 4 use cases and 2 case studies of AI text generation..

GenAI ApplicationsOct 7

Top 10 ChatGPT Education Use Cases in 2026

Teachers and lecturers across many educational levels are afraid of ChatGPT‘s possible negative impacts on academic integrity. They fear that the chatbot is going to increase plagiarism and spread academic dishonesty.

GenAI ApplicationsOct 3

Conversational AI for Sales: Applications & Real-Life Examples

By combining natural language processing, machine learning, and integration with customer data systems, conversational AI tools enable sales teams to handle routine tasks, qualify leads, and engage in personalized conversations with prospects and customers.

GenAI ApplicationsSep 25

10 GAN Use Cases in 2026

Generative AI is one of the latest famous technologies with the capability of realistic images, textual and auditory content in a matter of minutes. Gartner predicts that by 2025, 10% of all generated data will be produced by generative AI.