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Why It's The Year Of Proprietary Data, Not AI [Forbes]
Last alphabet inc. - class c capital stock earnings: 4/28 04:02 pm
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US:NASDAQ Investor Relations: abc.xyz/investor
This year has been hailed as the year of artificial intelligence (AI) breakthroughs. The exponential growth of AI, from OpenAI to chatbots and self-driving cars, boasts of a future where machines are not just intelligent but autonomous. While numerous articles extensively cover AI integration, societal impact and engineering challenges, they overlook a critical aspect. Beneath the surface of AI innovation lies a pivotal, albeit overlooked, element: proprietary data. Contrary to the prevailing narrative, the true catalyst for AI progress is not solely the sophistication of algorithms or computing power but rather access to vast quantities of data, exceptionally high-quality proprietary data. This assertion rests on two fundamental pillars: legal implications of data ownership and the significance of unique, proprietary data. 1. Legal Implications Of Data Ownership And Ethical Data Gathering There is no doubt that data is the core ingredient fueling the engines of AI innovation,
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