Alpha Vertex is a year-old New York City startup with an ambitious agenda: It wants to create a graph database of global financial knowledge.
CTO Michael Bishop says the goal is to use predictive modeling to help companies judge risk and investors get insight on what drives the market. To do so has required the company to build a massive technical back-end that uses some hottest emerging technologies. Two of the most important are Google’s cloud-based machine learning algorithms and IBM’s OpenWhisk, a serverless or Function-as-a-Service platform.
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