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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. A navigation app anonymizes activity data before analyzing it for travel trends. Finally, the retailer classifies data based on sensitivity levels and applies appropriate controls to each type.

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MY TAKE: Why the next web-delivered ad you encounter could invisibly infect your smartphone

The Last Watchdog

The tech titans have swelled into multi-billion dollar behemoths by myopically focusing on delivering targeted online advertising, in support of online retailing. Cybercriminals have begun escalating their efforts to bend the legitimate online advertising and retailing fulfillment ecosystem to their whims.

Retail 138
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The most valuable AI use cases for business

IBM Big Data Hub

Promote cross- and up-selling Recommendation engines use consumer behavior data and AI algorithms to help discover data trends to be used in the development of more effective up-selling and cross-selling strategies, resulting in more useful add-on recommendations for customers during checkout for online retailers.

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Improving government services with Collibra Data Quality & Observability: A closer look at the food stamp program

Collibra

Recipients can use their EBT cards at authorized retailers to purchase eligible food items. Program integrity and compliance: State agencies must ensure SNAP benefits are issued accurately and that recipients and retailers follow program rules. By improving data quality, agencies can reduce their error rates and secure more funding.

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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. The emergence of NLG has dramatically improved the quality of automated customer service tools, making interactions more pleasant for users, and reducing reliance on human agents for routine inquiries.

Analytics 107
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How to Take Your Business to The Next Level with Data Intelligence

erwin

Data Intelligence is the analysis of multifaceted data to be used by companies to improve products and services offered and better support investments and business strategies in place. Data intelligence can encompass both internal and external business data and information. Transforming Industries with Data Intelligence.

Analytics 103
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Data science vs data analytics: Unpacking the differences

IBM Big Data Hub

Though you may encounter the terms “data science” and “data analytics” being used interchangeably in conversations or online, they refer to two distinctly different concepts. Meanwhile, data analytics is the act of examining datasets to extract value and find answers to specific questions.