Data Science 2.0 – Guided and In-line Analytics: By Michael O’Connell, PhD

In retail banking and capital markets, IT initiatives and business projects are justified by improving productivity, reducing risk and/or growing revenues. The various functional areas of these organizations rely on big data analytics – trading and managing portfolios, creating value across customer relationships, detecting and preventing fraud and managing risk across the enterprise.

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