摘要： The role of exchange traded funds in capital markets is one of those topics that hits our “Markets, Data and Disruption” thematic focus dead-on. We’ll therefore take the whole report to discuss the survey’s results but still use the customary tripartite framework to summarize our conclusions.
摘要： The foreign exchange market has been one of the most restricted ones for several decades. Due to the many changes in the exchange rates and additional fees, many users could not comprehend the process of making payments. To make it simple for users, many fintech startups have started coming up with their own solutions to make changes to the overseas payments.
摘要： In a potentially historic marriage of supercomputing and big data, IBM goes live Thursday with a global weather model that it says can provide far more accurate forecasts for the entire world.
摘要： Digitization in the finance industry has enabled technology such as advanced analytics, machine learning, AI, big data, and the cloud to penetrate and transform how financial institutions are competing in the market. Large companies are embracing these technologies to execute digital transformation, meet consumer demand, and bolster profit and loss. While most companies are storing new and valuable data, they aren’t necessarily sure how to maximize its potential, because the data is unstructured or not captured within the firm.
摘要： Big data is playing a very important role in the future of branding. Last year, Samantha Bhargav wrote a great article on ways big datacan help with branding strategies. There are a number of benefits, as Bhargav points out. One of the biggest is customer-centric marketing.
摘要： Police are once again clamping down on companies that operate in the shadowy intersection between internet finance and big data, raising the stakes after two years of intermittent crackdowns on China’s big data industry, multiple sources have told Caixin.
摘要： From the Cambridge Analytica scandal to GDPR and data breach headlines, the idea that consumers should know how their data is used is gaining traction with governments and consumer groups. What does this trend mean for companies that rely on consumer data for their business model?
