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Information management , the foundation for successful analytics, has much to do with data governance (about which I wrote in a recent article published in IBM Data Management Magazine ) and the establishment of a "single version of the truth" with regard to questions that might be answered based on the organization's data assets.
You're really looking at a government agency from some some country who's politically motivated and who can afford to put the money and the time into building a threat like this and who has the insider information from a uranium enrichment facility that would facilitate building a threat? You know, it isn't the blackout scenario.
Compromised data includes victims’ names, addresses, phone numbers and Aadhaar numbers (a 12-digit government identification number). It remains unclear how the data breach occurred, but the attackers apparently suggested it was the result of “exploiting vulnerabilities within government databases of telecommunication systems”.
AI is driven by data, and as a society we’re not particularly good at structuring, governing, or sharing data. That means all the negative energy, regulatory scrutiny, and consumer ick once reserved for Facebook and Google will turn its gaze westward to Cupertino. Enterprise Data Moves Beyond Marketing.
there is still much debate over providing a private right of action for individuals (versus just government agencies) to sue over unethical AI. government are making strides towards AI fairness. government are working towards eliminating AI bias, others are seemingly working just as hard, if not harder, in the opposite direction.
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