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New business models are rapidly emerging from revolutionary Internet, machine learning, and bioscience technologies that threaten the status quo in every field. Technology change is speeding business up and providing an edge for disruptive innovators. How will AI impact the bulletproof approach? But that isn’t the whole story.
With larger volumes of data being used to analyze everything from the genome to traffic patterns and lunch choices, it is natural to ask whether big data can crack the code on small business creditrisk. What seems novel and niche in small business credit scoring today has the potential to be ubiquitous tomorrow. Finance'
There is a tendency with any new technology to believe that it requires new management approaches, new organizational structures, and entirely new personnel. That impression is widespread with cognitive technologies — which comprises a range of approaches in artificial intelligence (AI), machine learning, and deep learning.
It’s only recently, though, that advances in information technology have made it possible for predictive tools to access and manipulate big data, and to do so continuously — accelerating the generation of insights, and opening up opportunities to anticipate issues with unprecedented precision. Health Information & technology'
The survey gathers perspectives from a small but influential group of executives — chief information officers, chief data officers, and senior business and technology leaders of Fortune 1000 firms. How technology is changing the way we work. Identify opportunities for innovation. Insight Center. Sponsored by Accenture.
However objective we may intend our technology to be, it is ultimately influenced by the people who build it and the data that feeds it. ” For example, if a person was deemed a low creditrisk, granted a loan, and then defaulted on that loan that would be a false positive. The answer so far has been disappointing.
With larger volumes of data being used to analyze everything from the genome to traffic patterns and lunch choices, it is natural to ask whether big data can crack the code on small business creditrisk. What seems novel and niche in small business credit scoring today has the potential to be ubiquitous tomorrow.
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