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Practical Privacy: How to Increase Data Privacy and Grow Machine Learning

1reports1reporting sources2022-06-29Update

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For corporate travel and expense management, data privacy methods help leverage machine learning for process optimization while ensuring employee data security and regulatory compliance.

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6月29日
  1. SAP Concur Blog
    Practical Privacy: How to Increase Data Privacy and Grow Machine Learning

    Data privacy is a major concern, with IBM reporting 78% of consumers believe a company's ability to keep data private is very important. Machine learning requires data, but methods like limiting personal data collection, k-anonymity, and differential privacy can balance privacy and accuracy. CIOs must see privacy as a sliding scale, not an on/off switch.