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AI in commerce: Essential use cases for B2B and B2C

IBM Big Data Hub

.  In the context of this rapid advancement, generative AI and automation have the capacity to create more fundamentally relevant and contextually appropriate buying experiences. They can simplify and accelerate workflows throughout the commerce journey, from discovery to the successful completion of a transaction.

B2C 65
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What is the Value of Records and Information Management?

AIIM

And if the users haven’t been trained, or were trained maybe 30 minutes one time several years ago after a very expensive lesson in information management courtesy of an e?discovery discovery process, it’s difficult to expect them to do the right thing the right way.

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6 ecommerce trends to watch

IBM Big Data Hub

In what McKinsey refers to as “the e-commerce catch-22,” many retailers with significant growth in ecommerce sales through 2020 and 2021 saw their margins decline. Digital optimization and automation tools have made it cheaper and easier for businesses to use customer data or third-party data, creating intelligent ecommerce sites.

Retail 81
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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. Join this lively and interactive session for a discussion about evolving standards and workflows in e-discovery and how they might be incorporated into a revised EDRM.

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The Future of Payments Security

Thales Cloud Protection & Licensing

Criminals use personal and financial data to impersonate customers and add apparent authenticity to a scam. Online skimming is an adverse activity of stealing payment information during card-not-present transactions by infecting e-commerce sites with sniffers. Online skimming. Vulnerabilities exploitation.

Security 143
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Records Management in the Intelligent Information Era

AIIM

We argued in the AIIM 2019 State of the Industry – Content Services that “[information management] is better sold indirectly – as a byproduct of automation and customer experience – than head-on.”. Moreover, records managers often lament that they “don’t have a seat at the table.”

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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.