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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 94
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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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Data is essential: Building an effective generative AI marketing strategy

IBM Big Data Hub

If the training data is biased or incomplete, the models may generate inaccurate content. For example, a retail clothing company might use generative AI to customize email or online experiences tailored for different customer personas. Thus, the tool has the potential to provide unexpected results.

Marketing 119
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Data science vs data analytics: Unpacking the differences

IBM Big Data Hub

Overview: Data science vs data analytics Think of data science as the overarching umbrella that covers a wide range of tasks performed to find patterns in large datasets, structure data for use, train machine learning models and develop artificial intelligence (AI) applications.

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Heathrow Airport fined £120,000 for data breach

IT Governance

This data was “erroneously captured” during a three-second portion of the video, when a page from an open ring binder containing the information briefly appeared on screen. Subsequent investigations undertaken by the ICO have found that just 2% of Heathrow’s 6,500 staff were properly trained in data protection. Maximum penalty.

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MY TAKE: Why Satya Nadella is wise to align with privacy advocates on regulating facial recognition

The Last Watchdog

And their grander vision is to help establish a nationwide biometric database in which a hybrid facial ID/fingerprint can be used for things such as fraud-proofing retail transactions, or, say, taking a self-driving vehicle for a spin. SAFR is tuned to identify people walking past a video cam who aren’t looking squarely at the lens.

Privacy 109
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Attacks against machine learning — an overview

Elie

which involve feeding training adversarial data to the classifier. The most common attack type we observe is model skewing, where the attacker attempts to pollute training data in such a way that the boundary between what the classifier categorizes as good data, and what the classifier categorizes as bad, shifts in his favor.

Mining 107