??“Data quality makes or breaks Generative AI efforts.”??
The power of AI rests on the quality of the data it is trained on. If the data is poor-quality, disorganized, or unstructured, the AI's performance will be dramatically damaged. The AI will learn from the flawed inputs it is fed, and its responses will be inaccurate, unhelpful, or just totally false.
For AI in banking, data quality is all the more vital. The nature of financial service support requires information to always be accurate and consistent – not least to ensure regulatory compliance.
interface.ai offers the industry’s most advanced AI data management, processing and repository system, known as The One Conversational AI Brain. Purpose-built for banks and credit unions, this brain delivers the most accurate, intelligent, and secure experiences across every channel.
This unique AI data repository and processing engine aggregates data from over 1.5 million interactions every day across channels. As this data is funneled in, the engine continually processes and learns from it to form a collective intelligence. This powers interface.ai’s suite of conversational AI across every channel, both digitally and in-branch.
This stands in stark contrast to channel-specific AI vendors that offer conversational AI in banking. Each channel is disconnected, so the data and insights collected within them remains isolated too. This fragmented AI data management leads to poor AI data quality, resulting in less intelligent systems that can’t handle complex queries. It also leads to inconsistent customer experiences as the support they receive can vary depending on the channel used. Worse still, if an organization wants to add AI to another channel, they can’t pull data from the existing channel, forcing them to build their new AI’s intelligence from scratch.
Learn more here: https://lnkd.in/gp2_wBb3
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