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Smart Voice/Text Recognition Models

AI-based voice and text recognition models are occupying major space in the domain of banking app development. With AI Builder, banking firms can create intelligent voice or text recognition models that guide customers automatically by apprehending their text or voice queries in the right direction.

By developing and integrating AI-based voice or text models within banking apps, customers can have virtual assistance related to transactions and other banking services. Voice/text recognition models can route complex queries to the correct department for resolving issues on time.

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These models can also be helpful for banks to send push notifications to customers regarding account balance, credit bill payments, and personalized advice on investment plans. Hence, banks can increase their customer engagement and allow customers to manage their wealth under control through personalized inputs. Overall, integration of AI-based voice/text models within banking applications saves time, money, and takes customer fulfillment to the next level.

Data Analysis Models

Banking applications record millions of transaction data every day. Since the capacity of data generated is huge, organizing several data elements and understanding how the data elements relate to one another becomes a tedious task for banking enterprises.

In such a situation, banking firms can construct a data analysis model using AI builder and incorporate it within their app. The data analysis model can analyze banking data, derive valuable patterns based on customer behavior, and predict market trends. With these insights, banking enterprises can customize their financial services and products as per customer needs, improve cross-sell opportunities, and establish strong relationships with customers. Moreover, data collection and analysis can help banking enterprises in virtually approving loans, monitoring transactions, and eliminating fraudulent activities.

Summing Up

Artificial Intelligence helps the banking sector become more efficient by reducing operational costs and improving customer experience. By using Power Apps, banking and financial institutions can drive innovation and meet market requirements through low-code app development. With the integration of AI models within low-code banking apps, enterprises can gain a competitive edge and remain connected with their customers. AI-powered applications have become an integral part of the banking sector.

Content Source - https://www.techsling.com/why-power-apps-are-optimal-for-ai-poweredbanking-app-development/

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