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Retailers can tap into generative AI to enhance support for customers and employees

IBM Big Data Hub

As the retail industry witnesses a shift towards a more digital, on-demand consumer base, AI is becoming the secret weapon for retailers to better understand and cater to this evolving consumer behavior. Generative AI excels at handling diverse data sources such as emails, images, videos, audio files and social media content.

Retail 91
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Wear your MASQ! New Device Fingerprint Spoofing Tool Available in Dark Web

Security Affairs

The MASQ tool could be used by attackers to emulate device fingerprints thus allowing them to bypass fraud protection controls. Such activity is not limited to just payments – bad actors are also abusing social media and e-mail accounts using such tools.

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The most valuable AI use cases for business

IBM Big Data Hub

For example, Amazon reminds customers to reorder their most often-purchased products, and shows them related products or suggestions. Running on neural networks , computer vision enables systems to extract meaningful information from digital images, videos and other visual inputs. See what’s ahead AI can assist with forecasting.

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AI in commerce: Essential use cases for B2B and B2C

IBM Big Data Hub

To take one example, AI-facilitated tools like voice navigation promise to upend the way users fundamentally interact with a system. And these technologies provide brands with intelligent tools, enabling more productivity and efficiency than was possible even five years ago.

B2C 65
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How AI is helping companies meet sustainability goals

IBM Big Data Hub

AI tools like ChatGPT are grabbing headlines, but other AI techniques and tools specifically designed for enterprises are quietly helping companies meet their sustainability goals. If we think about asset maintenance, for example, the questions are which technicians are available, where, and how should their work be prioritized.

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Data is essential: Building an effective generative AI marketing strategy

IBM Big Data Hub

The potential of this powerful new tool spans the entire end-to-end marketing process, from internal communications and productivity to customer-facing channels and product support. For example, a retail clothing company might use generative AI to customize email or online experiences tailored for different customer personas.

Marketing 114
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Data science vs data analytics: Unpacking the differences

IBM Big Data Hub

Additionally, data science requires experience in SQL database coding and an ability to work with unstructured data of various types, such as video, audio, pictures and text. For example, retailers can predict which stores are most likely to sell out of a particular kind of product.