![]() ![]() ![]() “When an enterprise’s database is brought in, the data volume would not be large enough to contextually differ the way ChatGPT works and is trained as - its own data sets are simply too large for any company to easily replicate. Sanjeev Menon, co-founder and head of technology at Pune-based enterprise automation startups, E42, said among the host of challenges that businesses are facing is the difficulty in customizing ChatGPT deployments for their own data sets. A more complete end-to-end conversational AI solution is needed for businesses to communicate with their end-users, and have an influence on the bottomline," said Pamela Kundu, senior director at US-headquartered enterprise automation platform, UiPath. “What many companies still need to work out is how to operationalize generative AI tools in a business environment, with consistency and governance. It is this that analysts and industry stakeholders expect will pose a contradictory roadblock towards the adoption of generative AI platforms. So, any user will need to initially vet the responses offered by the chatbot separately, which could be an initial hindrance in adoption of the technology," said Abhiroop Medhekar, chief executive at Velocity. “While the tool presents plenty of promise, it is true that ChatGPT itself is presently a work in progress. ![]()
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