he Wall Street Journal (11/12/15) Pedro Domingos
Within 10 years, people will entrust their data to machine-learning algorithms that build personal digital models of them, writes University of Washington professor Pedro Domingos. He predicts a new kind of company will be conceived to store, safeguard, and apply such data to the construction, maintenance, and interactions of these models. Domingos says it would record a customer's every digital interaction and feed it to the model in exchange for a subscription fee. He notes all this would require on the technical side is a proxy server through which these interactions are routed and recorded. "Once a firm has your data in one place, it can create a complete model of you using one of the major machine-learning techniques: inducing rules, mimicking the way neurons in the brain learn, simulating evolution, probabilistically weighing the evidence for different hypotheses, or reasoning by analogy," Domingos says. He thinks these models could be duplicated almost infinitely to multitask, selecting the best options for the user based on accumulated behavior and preferences. "To offset organizations' data-gathering advantages, like-minded individuals will pool the data in their banks and use the models learned from that information," Domingos says. He predicts cyberspace will evolve into "a vast parallel world that selects only the most promising things to try out in the real one--the new, global subconscious of the human race."
Within 10 years, people will entrust their data to machine-learning algorithms that build personal digital models of them, writes University of Washington professor Pedro Domingos. He predicts a new kind of company will be conceived to store, safeguard, and apply such data to the construction, maintenance, and interactions of these models. Domingos says it would record a customer's every digital interaction and feed it to the model in exchange for a subscription fee. He notes all this would require on the technical side is a proxy server through which these interactions are routed and recorded. "Once a firm has your data in one place, it can create a complete model of you using one of the major machine-learning techniques: inducing rules, mimicking the way neurons in the brain learn, simulating evolution, probabilistically weighing the evidence for different hypotheses, or reasoning by analogy," Domingos says. He thinks these models could be duplicated almost infinitely to multitask, selecting the best options for the user based on accumulated behavior and preferences. "To offset organizations' data-gathering advantages, like-minded individuals will pool the data in their banks and use the models learned from that information," Domingos says. He predicts cyberspace will evolve into "a vast parallel world that selects only the most promising things to try out in the real one--the new, global subconscious of the human race."
I'm ready to begin a digital model project and would appreciate some suggestions on how to best prepare. What actions should I take to guarantee that everything goes smoothly? In addition, I've been thinking about the documentation process and wondering if it's worth it to hire a non fiction writer to help with the project reports and user manuals.
ReplyDeleteIncredible vision from Pedro Domingos on the future of personal digital models! 🌐✨ As we head towards this new era of data-driven insights, it's exciting to think how investors in Pakistan might engage with innovative startups creating these cutting-edge technologies. The potential to revolutionize how we interact with digital spaces is immense! 💡📊
ReplyDeleteThis is a game-changer! Just like the largest vc firms Pakistan are pioneering new ventures, Pedro Domingos’ vision of personal digital models is set to revolutionize how we interact with technology and data. A subscription-based model to build and maintain our digital selves sounds like the future is truly here!
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