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Data privacy examples

IBM Big Data Hub

An online retailer always gets users’ explicit consent before sharing customer data with its partners. These are just some examples of how organizations support data privacy , the principle that people should have control of their personal data, including who can see it, who can collect it, and how it can be used.

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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. Retailers recognize the need to build their strategies around AI, integrating it into many aspects of their operations.

Retail 95
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Black Friday and Cyber Weekend: Navigating the Tumultuous Waters of Retail Cybersecurity

Thales Cloud Protection & Licensing

Black Friday and Cyber Weekend: Navigating the Tumultuous Waters of Retail Cybersecurity sparsh Tue, 11/21/2023 - 05:01 As global consumers gear up for the much-anticipated shopping bonanza that is Black Friday and Cyber Weekend, retailers brace themselves for the frenzied onslaught of shoppers and the deluge of cyber threats lurking in the shadows.

Retail 83
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DPIAs for retail and hospitality 

IT Governance

It’s relevant for everyone, including retail and hospitality. Retail and hospitality organisations will likely need to conduct several to cover all their processes, both new and existing. Common activities for retail and hospitality requiring DPIAs. Make the process easy with the DPIA Tool. Wi-Fi/Bluetooth/RFID tracking.

Retail 78
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The most valuable AI use cases for business

IBM Big Data Hub

But right now, pure AI can be programmed for many tasks that require thought and intelligence , as long as that intelligence can be gathered digitally and used to train an AI system. For example, Amazon reminds customers to reorder their most often-purchased products, and shows them related products or suggestions.

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Conversational AI use cases for enterprises

IBM Big Data Hub

This class of AI-based tools, including chatbots and virtual assistants, enables seamless, human-like and personalized exchanges. For example, natural language understanding (NLU) focuses on comprehension, enabling systems to grasp the context, sentiment and intent behind user messages.

Analytics 106
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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. If the training data is biased or incomplete, the models may generate inaccurate content. Thus, the tool has the potential to provide unexpected results.

Marketing 122