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Dhaval Gajjar, CTO of SaaS text marketing platform Textdrip, agrees that these two types of gen AI implementation require different strategies.
For example, successful use of AI tools, which tend to be easier to deploy, hinges on user training, says Gajjar, also CEO of Pranshtech, a website and mobile app development firm. “Standardization by vendor should go along with guidelines and best practices for their effective use,” he says, echoing recommendations from MIT CISR.
Solutions like AI-driven fraud detection or predictive analytics systems are more complex, he adds. “For my part, any AI solution would require a structured and formal approach to the launch,” Gajjar adds. “It will therefore take cross-functional collaboration to deliver this value in scale, with rigorous testing and clear governance.”
