What can ChatGPT and LLMs really do for your business?
The InfoWorld article “What can ChatGPT and LLMs really do for your business?” explores how large language models (LLMs) like ChatGPT are being adopted across industries, from financial services to healthcare and education, and evaluates their real versus perceived business value. The article notes that ChatGPT usage has surged globally, and businesses are experimenting with generative AI despite ongoing hype, fear, and rapid evolution of capabilities. It emphasizes evaluating where LLMs create genuine value versus where they pose risks or exceed current capabilities.
A key concern highlighted is data privacy and governance: firms must be cautious about sharing proprietary data with public LLMs because inputs can become part of training data, raising regulatory and competitive risks. The piece also suggests that executives assess the LLM-related features now embedded in workflow tools such as Microsoft 365 Copilot, Adobe Firefly, Salesforce AI Cloud, and GitHub Copilot to improve productivity and streamline operations.
LLMs offer tangible benefits in tasks like generating quick answers, aiding content creation, and simplifying access to complex information, but users must understand their limitations and biases, as models are trained on imperfect data. As enterprises explore building proprietary or domain-specific LLMs on top of existing models, they should balance ambition with a clear view of operational, privacy, and ethical constraints.
