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AI led Digital Banking: Banking the Millennial Generation

In 1994 Stanford Federal Credit Union was the first US financial institution to offer internet banking to all its customers. Since then, digital banking has rapidly adopted newer technologies to automate business processes and simplify customer interaction.

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Topics: customer analyitcs, community banking, machine learning, data analytics, financial risk, risk management, risk manangement, regulation, digital marketing, KYC, data analytics infrastructure, business insights, big data, digital banking, advanced analytics, AI led digital banking

Fintech in 2017: Risk management takes center stage

A day in the life of the gentleman banker was once described by the 3-6-3 rule – accept deposits at three percent, loan money at six percent and tee off at the golf course at 3 p.m. The financial services industry can rightfully state that it has come a long way since then. It has implemented technological innovation and managed risk in a constantly changing economic environment over several decades. The gentleman banker has since evolved into a sophisticated financial risk manager who works within a complex framework of rules and regulations with tens of trillions of dollars of assets under management. 

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Topics: AML, regtech, fintech, regulation, money laundering, risk management, banking, big data, machine learning

The NoSQL Ecoystem: A C-Level Guide

As a C-level executive, it’s becoming clear to me that NoSQL databases and Machine Learning toolsets like Spark are going to play an increasingly big role in data-driven business models, low-latency architecture & rapid application development (projects that can be done in 8-12 weeks not years).

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Topics: Spark, analytics, Hadoop, big data, advanced analytics, NoSQL, analytics as a service, Big Data Prescriptions, business perspective solutions

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