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Why are Use Cases essential for businesses to implement AI?


Why use cases matter?

The term “AI use case” has become familiar when discussing artificial intelligence’s practical applications and implementation, often related to generative AI models that produce output for tasks for which there is no single solution. AI’s practical applications span multiple industries and business functions, with strategic implementation occurring within companies. But it is not a new term.








In recent years, including the current environment, use cases have evolved to highlight advanced systems like Automation and Artificial Intelligence (AI) and core digital transformation initiatives.. Other AI use cases prioritize enhanced, personalized customer service through virtual chatbot support. Core themes are leveraging data analytics and AI capabilities for more innovative automation.

Why are use cases absolutely essential for businesses to embrace AI and Automation?

Bringing AI into a business is about more than just using new tech. It’s about making sure the AI solutions fit and grow business goals. Use cases are super important here - they map out how to set up AI tools to meet specific business needs and spend wisely on what will likely work best.

One big plus of good use cases is the focus on user experience. Making AI tools easy and helpful for customers and workers will make folks happier and more engaged. This makes introducing AI more successful.

Brainstorming use cases also drives innovation. Firms applying AI often use creative thinking on use cases to solve current problems or tap into opportunities. This can encourage a culture of continuous improvement and forward-thinking.

Building trust matters tremendously. AI rolled out through robust use cases shows employees and customers that the tech is applied responsibly and ethically. This raises acceptance within a company and beyond.

Implementing AI relies heavily on savvy use cases. They ensure the tech gives real perks rather than just becoming another feature.


And what about AI-as-a-Services? (AiaaS)?

Yes, they need to be evaluated with use cases, especially when considering an integration, i.e., with a legacy system like ERP. ( MyGPT is one of AiaaS)


Bottom line

Well-thought-out and clearly articulated use cases help make sure that the artificial intelligence solutions put in place by a business address their particular requirements, achieve the outcomes they are looking for, provide positive experiences for those who use or interact with the systems, spur creative thinking about how to improve processes, establish confidence that the technology is being applied appropriately, and display in concrete terms the advantages and value that AI can contribute.

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