Transitioning from dipping a toe into smart water to mastering AI is an accessible journey. With numerous AI models available and wide array of use cases to explore, there are abundant opportunities for growth and development.
Here are four innovative ways to help you keep your generative AI projects moving and your ROI justified.
1. Find the start line
First, assess where you are in the generative AI journey. If you’re just beginning or focusing on a single pilot project, consider accelerating your pace to match the dynamic speed of the AI-driven world.
However, rushing isn’t always the optimal approach. Moving too quickly can lead to various challenges, including intellectual property and data breaches, overlooked AI hallucinations, and significant security risks.
Instead, focus on identifying use cases within established and tested processes, then infuse them with innovation. By doing so, you leverage existing data, expertise, workflows, and business objectives, ensuring a more robust foundation for AI integration rather than merely relying on it as a fix-all solution.
2. Repurpose content
Creating entirely new content is easily done with generative AI applications, but that tends to require more work from humans than repurposing huge amounts of existing content. While your team is making all the necessary plans to generate new content, use generative AI to fill websites, social media channels, digital ads, marketing materials, internal content, and more. Repurposing content is an innovative way to fill temporary or ongoing content needs of almost any kind.
3. Extract knowledge
Find whatever you need to know right now so that your business plans are always updated.
Working in research? Use generative AI for knowledge extraction to pull information from thousands of research studies to influence your decisions, build a research design, or create an action plan.
Working in PR? Use generative AI for knowledge extraction to stay abreast of news and events in fast summaries with full analysis.
Working in a contact center? Generative AI can extract sentiment analysis and produce potential problem resolutions during the call so a representative can satisfy more issues with fewer escalations.
4. Use visual inspections
Generative AI applications paired with advanced camera technology can perform a variety of visual inspections for various purposes. In manufacturing, these apps can inspect items on the production line for rust, dents, deformation, cracks, and other flaws so the errors can be rectified before complex repairs down the line or future recalls occur.
Similarly, generative AI apps can be used to analyze the damages and predict repair costs from a vehicle wreck for an insurance claim adjustor or a court case.
The list of possibilities is almost limitless, especially when you consider that specialized cameras can also be used with generative AI applications, such as thermal and infrared cameras.
Learn how your organization can fast track generative AI applications with Crayon.