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Conversational AI use cases for enterprises

IBM Big Data Hub

It signifies a shift in human-digital interaction, offering enterprises innovative ways to engage with their audience, optimize operations, and further personalize their customer experience. This improves the shopping experience and positively influences customer engagement, retention and conversion rates.

Analytics 101
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The most valuable AI use cases for business

IBM Big Data Hub

There’s no need to make customers wait for the answers to frequently asked questions (FAQs) or to take the next step to purchase. And digital customer service agents can boost customer satisfaction by offering advice and guidance to customer service agents.

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Unlocking the power of chatbots: Key benefits for businesses and customers

IBM Big Data Hub

Speak customers’ language Your customers can contact your chatbot from almost any country globally. Offer self-service options Customers often prefer to complete simple tasks independently. They can eliminate prolonged wait times in phone-based customer support and email or live chat support.

Sales 92
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Protecting the bank in a digital world

CGI

As financial services organizations are learning, defences against financial crime must be joined up and layered, bringing together both operational and intelligence resources. Customer experience (balancing against risk). Education and attitude (in terms of regulatory compliance and encouraging whistle blowers).

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5 Ways You Can Get More from Your Terminal Emulator

Rocket Software

According to research by Aberdeen, the industries with the strongest need for terminal emulation are business services (accounting, HR and consulting, for example), manufacturing, retail, education, healthcare, finance and insurance. When employee experiences are improved, customer experiences benefit as a result.

Retail 52
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Top 6 Best Practices for Data Governance

Collibra

Here is an example of a financial services firm that overcame its data challenges and followed the data governance best practice of identifying data domains. . The firm had difficulty gaining visibility into its data and wanted to gain more insights on its customers. Control over validating customer needs.

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6 best practices for a data governance strategy

Collibra

Here is an example of a financial services firm that overcame its data challenges and followed the data governance best practice of identifying data domains. . The firm had difficulty gaining visibility into its data and wanted to gain more insights on its customers. Control over validating customer needs.