N2Growth Blog

SEPTEMBER 11, 2017

The format includes a brief description of the core work activity, a high-level event model which depicts the workflow within the core work activity, and separate discussions of the related people, process and technology issues that underpin each one.

Analysis 270

Analysis Credit Risk Document Insurance 270

Skip Prichard

AUGUST 2, 2019

New business models are rapidly emerging from revolutionary Internet, machine learning, and bioscience technologies that threaten the status quo in every field. Technology change is speeding business up and providing an edge for disruptive innovators. How will AI impact the bulletproof approach? But that isn’t the whole story.

Disaggregation 79

Disaggregation McKinsey Skills Gordon 79

Women on Business

JANUARY 9, 2011

Categories : Communications , Ethics , Leadership , decision-making Echo Garrett is the National Practice Manager for KPMGs Financial Credit Risk practice and a Co-Founder of "Her Voice", a National Womens Organization that brings women together for local support and charitable opportunities.

Press Release 169

Press Release Team Discount PR 169

Harvard Business Review

OCTOBER 24, 2018

However objective we may intend our technology to be, it is ultimately influenced by the people who build it and the data that feeds it. ” For example, if a person was deemed a low credit risk, granted a loan, and then defaulted on that loan that would be a false positive. The answer so far has been disappointing.

Credit Risk 8

Credit Risk Tools Objective Ethics 8

Harvard Business Review

MARCH 31, 2017

There is a tendency with any new technology to believe that it requires new management approaches, new organizational structures, and entirely new personnel. That impression is widespread with cognitive technologies — which comprises a range of approaches in artificial intelligence (AI), machine learning, and deep learning.

Supply Chain 8

Supply Chain Technology System Early Adopters 8

Harvard Business Review

SEPTEMBER 16, 2014

With larger volumes of data being used to analyze everything from the genome to traffic patterns and lunch choices, it is natural to ask whether big data can crack the code on small business credit risk. There is reason for optimism.

Credit Scoring 10

Credit Scoring Banking Dunning Metrics 10

Harvard Business Review

OCTOBER 23, 2014

It’s only recently, though, that advances in information technology have made it possible for predictive tools to access and manipulate big data, and to do so continuously — accelerating the generation of insights, and opening up opportunities to anticipate issues with unprecedented precision. Health Information & technology'

Health Care 8

Health Care Pharmaceuticals Information Technology Supply Chain 8