IBM Big Data Hub
MAY 16, 2023
Today, a service or retail organization might have 20 to 30 campaigns delivered to different audiences across numerous modalities (spanning paid social, email, push notification, texts and more). This leads to stronger customer relationships, which leads to higher customer value.
IBM Big Data Hub
JUNE 26, 2023
Possibilities are growing that include assisting in writing articles, essays or emails; accessing summarized research; generating and brainstorming ideas; dynamic search with personalized recommendations for retail and travel; and explaining complicated topics for education and training.
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IBM Big Data Hub
APRIL 20, 2023
What do a Canadian energy company, a Dutch coffee retailer and a British multinational consumer packaged goods (CPG) company have in common right now? All are transforming their procurement operations by leveraging state-of-the-art process mining and intelligent automation technology. dollars annually in direct or indirect procurement.
IBM Big Data Hub
JUNE 7, 2022
Firms in regulated industries such as financial services, healthcare and telecom will see additional regulations being enforced to ensure AI governance compliance with requirements to document the evidence of it. Case study: IBM Cloud Pak for Data at work in a large financial services firm.
The Last Watchdog
APRIL 7, 2020
Here’s how he breaks it down: “We take a machine learning-based approach to look at the APIs, as well as the web transactions, to understand the intent of the transactions, and to separate the legitimate from the malicious. Only then will leading-edge technologies make their fullest impact. I’ll keep watch.
Adam Levin
NOVEMBER 17, 2020
It’s worth noting that there’s no reason a legitimate retailer would need that last one — the skeleton key to your identity — to process a purchase.). Shop at reputable and recognizable retailers. If you’re shopping at a retailer that is new to you, research the company’s standing on the Better Business Bureau website.
Reltio
APRIL 1, 2020
This post offers a look at the topic of scalability, outlining what the concept means and how it applies to customer data management, with some customer examples. The issue is particularly prevalent in industries like retail and financial services, which can contend with massive spikes in usage based on seasonality and marketing initiatives.
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