Succeeding in AI Adoption
Explore how to successfully adopt AI within organizations by understanding the tangible and intangible challenges involved. Learn to set expectations, build infrastructure, and create AI enablement strategies that support smooth AI integration and product transformation.
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By now, we’ve seen how involved applied ML is for an organization to embrace fully, and we’ve just spent most of this lesson looking through the various growth areas in AI for organizations that are already in business and are looking to capitalize on these growth areas. We’re discussing the transition of incorporating AI into a traditional software product.
This means we can now move on to set the stage for what this adoption looks like, but before we get started, we want to include a caveat. We really can’t talk about AI transformation unless we also set ourselves up for success to be able to begin the long and arduous process that is AI adoption. We have to make sure the conditions are right. Whether we’re working in an organization that’s ready to build an AI native product or we’re in a traditional software environment that’s ready to adopt AI at the feature level, there’s a level of expectation setting that’s required for the ...