The explosion in datasources – mobile data,real-time social data,and the Internet of Things – combined with the coming of age of data science and open-source data technologies, has created a clear divide between the banks that are ready to embrace the data revolution, and those that are not.
Banks need to re-invent how they work, given the exponential speed at which technology is evolving. Harnessing data assets must become a key business priority.
Data ownership and privacy
Our data-driven world raises questions about privacy and who owns the data when someone starts to share their personal information. This debate has existed since the advent of the internet.
Organisations that collect Big Data want to run analytics to understand their customers and improve the quality of their services, while others are advocating for users to regain data sovereignty.
Collecting and storing data, in addition to abiding by ever increasing levels of privacy and regulatory compliance, make for a deeply complex operating environment for banks.
Some have suggested that privacy will become mathematically impossible in a matter of years when artificial intelligence (AI), combined with data analytics, can start to plug knowledge gaps by inferring from known data.
この記事は Express Computer の October, 2017 版に掲載されています。
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この記事は Express Computer の October, 2017 版に掲載されています。
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