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2017 will be to banking what 2016 was to politics

Wazoku

Banking is at a crossroads against its own will, facing threats from Brexit regulation, from Trump – and continued change from social and technological evolution. These are my predictions for the banking industry in 2017. The post 2017 will be to banking what 2016 was to politics appeared first on Wazoku.

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Applications of Artificial Intelligence (AI) in business

hackerearth

trillion per annum from their less informed peers by 2020.” Recent advances in AI have been helped by three factors: Access to big data generated from e-commerce, businesses, governments, science, wearables, and social media. Improvement in machine learning (ML) algorithms—due to the availability of large amounts of data.

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50 what-if questions to reimagine the future

Board of Innovation

What if you owned your own bank? Think at Transferwise borderless bank account: it can be opened online everywhere in the world, accepts payments in every currency and charges none or very small fees regardless of the currency or your location. And on the belief that banks and governments are trustworthy.

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Daniel Burrus’ Top 20 Tech-Driven Hard Trends Shaping 2017

Daniel Burrus

Big Data and the use of High Speed Data Analytics. Big Data is a term that describes the technologies and techniques used to capture and utilize exponentially increasing streams of data. Separating good data from bad data will also become a rapidly growing service.

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How China Creates the Strongest Innovation System

The BMI Lab Blog

Right now, as part of the current five years plan (ending in 2020), China is focusing on: Aviation and aerospace. The goal is very clear: the share of the global GDP for all those industries should increase to 15% in 2020. Agriculture. Electrical power. New-energy automotive. High-end robotics. Next-generation information technology.

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Daniel Burrus’ Top 20 Technology-Driven Hard Trends Shaping 2018 and Beyond

Daniel Burrus

3 Big Data and the Use of High-Speed Data Analytics. Big data” is a term that describes the technologies and techniques used to capture and utilize exponentially increasing streams of data. Separating good data from bad data will also become a rapidly growing service. #4

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