Generative AI creates value when it solves real business problems. While the technology's capabilities are impressive, success comes from applying it thoughtfully to specific challenges.
Here you'll find practical examples of how companies leverage generative AI, organized into four key areas: Process automation and workflows, Knowledge access and transformation, Content creation and analysis, Human-AI interaction.
This collection is regularly updated to reflect the latest developments and real-world applications. Each example focuses on concrete business value and implementation insights rather than just technological possibilities.
While some use cases may inspire your own projects, remember that success comes from matching AI capabilities to your specific business needs rather than copying solutions. For a deeper understanding of how to evaluate and implement generative AI solutions, refer to my book 'Making Sense of Generative AI.
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