Chapter 6
Addressing the Challenges of Building Conversational AI for Database Access
There are several obstacles that must be addressed in order to successfully develop a conversational AI system for database access that’s both cost-effective and powerful.
There’s a lack of available training data and the process of generating custom training data is an intensive undertaking that can consume weeks or months of the building process.
Enterprise-grade databases are highly complex and each one holds a substantial amount of unique data.
Human language is also inherently complex, and the system needs to be trained to understand jargon, decipher meaning, factor in context, and if necessary, verify what is being asked so users have consistently positive experiences.
There are several obstacles that must be addressed in order to successfully develop a conversational AI system for database access that’s both cost-effective and powerful.
There’s a lack of available training data and the process of generating custom training data is an intensive undertaking that can consume weeks or months of the building process.
Enterprise-grade databases are highly complex and each one holds a substantial amount of unique data.
Human language is also inherently complex, and the system needs to be trained to understand jargon, decipher meaning, factor in context, and if necessary, verify what is being asked so users have consistently positive experiences.
Interested in being a data partner?
Setup is simple! Reach out to info.alphaalerts@chata.ai and let’s start monetizing your data.
Interested in being a data partner?
Setup is simple! Reach out to info.alphaalerts@chata.ai and let’s start monetizing your data.
Interested in being a data partner?
Setup is simple! Reach out to info.alphaalerts@chata.ai and let’s start monetizing your data.