Imagine if you could talk to a dead celebrity with AI?
Are you looking for accurate answers? Maybe not. Because there are no right/wrong answers
Business outcomes on the other hand, require accuracy
Which is why Gen AI in B2B works better as a ‘coaching network’ as Emergence puts it.
Here is why the state of Gen AI today works differently for B2B vs B2C use cases
Play COACH to humans where accuracy is critical – Business use cases require accuracy. “In order for businesses to feel confident in using generative AI for most use cases, more context and human assistance will be required”
GenAI is Output oriented, not outcome oriented – “ChatGPT can spit out taglines for a new beverage brand, but it can’t tell you which one performs better”
Businesses are usually driven by outcomes.
GenAI is broad vs deep
“…to move the needle in many business use cases, the AI needs to be trained on company-specific data”
Foundational base models today lack context to specific use cases. This is where fine-tuning specific models with specific data over base models, could provide ‘strong, defensible ROI”
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#reviewswithranjani Day21/30 #30daysofGenerativeAI
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