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Retail trends: Inventory, AI, and the dog that caught the car

CGI

This blog shares retail technology trends gaining traction for enterprises hoping to gain a strong footing in the marketplace. The key theme is the importance of data collection, analysis and implementation.

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AI in retail and the rise of the purpose-driven consumer

IBM Big Data Hub

That retail has experienced extreme disruption in recent years is beyond questioning. Even before Covid turned the world on its head, headlines about the so-called “retail apocalypse” were near-ubiquitous in the media. Retail isn’t just big, it’s huge — the National Retail Federation expects sales to grow by as much as 13.5%

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COVID-19 ‘Breach Bubble’ Waiting to Pop?

Krebs on Security

But fraud experts say recent developments suggest both trends are about to change — and likely for the worse. But ironically, this analysis can become more challenging when there are fewer overall transactions going through a compromised merchant’s site, Barratt said.

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The most valuable AI use cases for business

IBM Big Data Hub

Voice-based queries use natural language processing (NLP) and sentiment analysis for speech recognition so their conversations can begin immediately. These systems can evaluate vast amounts of data to uncover trends and patterns, and to make decisions. ML can also conduct algorithmic trading without human intervention.

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#ModernDataMasters: Martin Squires, The Analysis Foundry

Reltio

Just like in the TV programmes like CSI where the analysts solve crimes by a combination of analysis and field work, there is no better way of understanding what is going on than going into the real-world for example visiting shops or listening into call-centre conversations. What do you like to do outside of work?

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FIN11 gang started deploying ransomware to monetize its operations

Security Affairs

” reads the analysis published by FireEye. “The group’s shifting monetization methods—from point-of-sale (POS) malware in 2018, to ransomware in 2019, and hybrid extortion in 2020—is part of a larger trend in which criminal actors have increasingly focused on post-compromise ransomware deployment and data theft extortion.”

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How a data fabric overcomes data sprawls to reduce time to insights

IBM Big Data Hub

Data fabric in action: Retail supply chain example. To truly understand the data fabric’s value, let’s look at a retail supply chain use case where a data scientist wants to predict product back orders so that they can maintain optimal inventory levels and prevent customer churn. How does a data fabric impact the bottom line?

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