Remove Cloud Remove Customer Experience Remove Education Remove Financial Services
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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.

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

IBM Big Data Hub

When it comes to driving large technology transformation on Cloud, leveraging existing investments, and optimizing open innovation within the larger ecosystem with a hybrid cloud platform, IBM Consulting™ offers several learnings to help organizations address the architecture and technology challenge.

Cloud 73
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Tuesday’s Relativity Fest 2019 Sessions: eDiscovery Trends

eDiscovery Daily

It has provided a framework for the development of software and services. In the increasingly non-linear and fast-moving legal technology world in which we now live and work, where cloud-based solutions, analytics, machine learning, and AI are impacting the data-driven decisions being made, is it time to rethink the EDRM?