FinTech Is Merging with IoT and AI to Challenge Banks: How Entrenched Interests Can Prepare
| Autor: | Gavin Liu, Paul Schulte |
|---|---|
| Rok vydání: | 2017 |
| Předmět: |
Credit analysis
Economics and Econometrics 050208 finance Smart phone business.industry Data management 05 social sciences Pooling Bandwidth (signal processing) 02 engineering and technology Computer security computer.software_genre 0502 economics and business 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing Static data Internet of Things business computer Finance |
| Zdroj: | The Journal of Alternative Investments. 20:41-57 |
| ISSN: | 2168-8435 1520-3255 |
| DOI: | 10.3905/jai.2018.20.3.041 |
| Popis: | Collapsing prices of sensors, bandwidth, processing, and storage allow upstarts to abandon the internal world of static data, which has driven finance for centuries. They can create new sciences of risk, data management, credit analysis, insurance pooling, and trading that are based on ubiquitous and dynamic external sensor and smart phone data, which are measured in the billions. This is a world of data creating business—not the other way around. This is the world of the Internet of Things, and computers will increasingly make human-like decisions on all forms of risks. The authors suggest that many financial institutions are not prepared for this change. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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