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Conversational AI use cases for enterprises

IBM Big Data Hub

Organizations across industries increasingly benefit from sophisticated automation that better handles complex queries and predicts user needs. In conversational AI, this translates to organizations’ ability to make data-driven decisions aligning with customer expectations and the state of the market. billion by 2030.

Analytics 107
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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. Robots handle and move physical objects.

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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 97
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5 Ways You Can Get More from Your Terminal Emulator

Rocket Software

Improve experiences. 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.

Retail 52
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Tuesday’s Relativity Fest 2019 Sessions: eDiscovery Trends

eDiscovery Daily

The EDRM has been a household name in the e-discovery and legal technology industry for 15 years. It has provided a framework for the development of software and services. This panel discussion will feature a speaker from the EDRM, a speaker from Relativity, and one or two industry leaders.

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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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How Red Hat OpenShift on AWS (ROSA) accelerates enterprise modernization initiatives on cloud, delivering business application innovation

IBM Big Data Hub

Consider large financial services organization going through core banking modernization. The core banking application landscape involves multiple applications (both legacy and custom off-the-shelf) that are integrated and surfaced across multiple customer experiences, including mobile.

Cloud 81