Wrap-up
1. Wrap-up
Congratulations! We made it to the end of the course on implementing an AI solution in business. Let’s quickly summarize what we covered.2. Phases of AI Implementation
An AI implementation follows five general phases of implementation - education, identification, proof of concept, scale, and alignment of culture and skills. Each is important to ensure success.3. Use cases
AI can be used for many tasks including image processing, speech recognition, and natural language processing.4. Benefits and limitations
There are many benefits to be gained around efficiency, productivity, creativity, and skilling. There are also limitations such as a lack of human empathy and understanding.5. Proof of concept
Finding the right use case for your business will require lots of conversations, problem identification, scoping, and prioritization. Once a use case is identified, build POCs to experiment and learn. Make sure you have clear goals and criteria, data, efficient infrastructure, and the talent to pursue. Doing so will increase the chances of success and scaling to a full implementation.6. Some focuses for full AI solution
A full scale AI solution will need to include Ops, governance, and Responsible AI frameworks. Doing so will ensure the solution continues to perform and avoids legal, ethical, or financial penalties. Likewise, a culture shift will be necessary.7. Let's practice!
Again, congrats on making it to the end!Create Your Free Account
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