Better Data, Better Banking: How New Technologies Solve the Big Data Challenge

Better Data, Better Banking: How New Technologies Solve the Big Data Challenge

April 24, 2019

Data science is a major area of investment for banks.   It has proven impact on cybersecurity and fraud protection, risk mitigation, customer relationship management and more. When fully operationalized for production, data science enables banks to make data-driven decisions with unprecedented levels of speed, transparency and accountability.  Its accelerating digital transformation initiatives while delivering better financial products and services that meet customers’ needs. 

Time-to-market  delivery for data science impact is crucial to success.  It is especially crucial for traditional retail banks with physical locations and high overhead that must find innovative ways to compete with their online competitors.
Read the full article “Better Data, Better Banking: How New Technologies are Helping Banks Solve the Big Data Challenge” in the Bank News featuring Ryohei Fujimaki, dotData CEO and founder.

dotData

dotData Inc.

dotData Automated Feature Engineering powers our full-cycle data science automation platform to help enterprise organizations accelerate ML and AI projects and deliver more business value by automating the hardest part of the data science and AI process – feature engineering and operationalization. Learn more at dotdata.com, and join us on Twitter and LinkedIn.