GenAI
Generative AI in Retail: Use Cases, Examples & Benefits in 2025
Retail businesses strive to enhance customer experiences and loyalty. This requires producing attractive content of different formats, good marketing efforts, and great customer service. With generative AI, retailers can resolve most of these issues with automation, particularly in improving their ability to analyze customer data for more personalized customer experiences.
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.
Generative AI in Manufacturing: Use Cases, Benefits & Risks
Generative AI technology is becoming a valuable tool for manufacturing companies, helping to automate and improve many aspects of their processes. From designing products to predicting maintenance needs, optimizing supply chains, and more, generative AI not only makes operations more efficient but also sparks new ideas and innovations.
Meta's New Llama 3.1 AI Model: Use Cases & Benchmark in 2025
Meta published model weights for Llama 3.1 which is one of the most advanced language models. This access enables enterprises, researchers or individual developers to finetune and deploy their own Llama-based models.
RPA Generative AI: Top 15 Use Cases in 2025
RPA (robotic process automation) and generative AI are two popular tools in the digital transformation landscape: These two tools are widely used because of their wide-ranging capabilities. RPA’s handling of repetitive tasks & generative AI’s automation through the creation of original content creates an opportunity for businesses to reshape their companies’ operational efficiency.
Compare Top 7 Generative AI Services & Vendors in 2025
Since OpenAI launched ChatGPT, generative AI technology has rapidly expanded across industries. This spread led businesses to utilize various services to build and implement generative AI tools effectively. Here, we explore seven types of generative AI services that help businesses gain a competitive edge: Table 1.
Large Language Model Evaluation in 2025: 10+ Metrics & Methods
Large Language Model evaluation (i.e., LLM eval) refers to the multidimensional assessment of large language models (LLMs). Effective evaluation is crucial for selecting and optimizing LLMs. Enterprises have a range of base models and their variations to choose from, but achieving success is uncertain without precise performance measurement.
Enterprise Generative AI: 10+ Use Cases & Best Practices
Generative AI, also called GenAI, presents novel opportunities for enterprises compared to middle-market companies or startups including: However, generative AI is a new technology with unique challenges for enterprises: Executives wonder how their organizations can reap the benefits of generative AI while overcoming these challenges.
Top 25 Generative AI Finance Use Cases & Case Studies
Most of my decade-long consulting career involved serving financial services firms and helping finance leaders. I selected top generative AI finance use cases with their real-life examples.
Top 10 Use Cases of Conversational AI in Retail in 2025
Conversational AI in retail is a versatile solution, addressing the complications by enabling tailored interactions, enhancing customer satisfaction, and automating various aspects of online retail operations with revenue growth. According to IBM, almost all businesses that use AI-based virtual agent technology (VAT) report a 12% boost in customer satisfaction (Figure 1). Figure 1.