CIO Business Intelligence

APRIL 23, 2024

When it comes to structural risks you can ignore them as well, but you can’t make them go away by doing so and will be blamed if they’re “realized” (the risk-management term for “becoming real”). Rationalizing the applications portfolio reduces the odds of these risks being realized.

Risk 116

Risk IT Insurance Risk Management 116

Decision Management Solutions

APRIL 23, 2019

In February, we published a blog post on “Using Technology to Add Value in Insurance”. In that post, I referenced Matt Josefowticz’s article – Technology May be the Answer for Insurers, but What Was the Question? , Insurers can also manage risk more effectively through continuous improvement.

Insurance 69

Insurance Risk Technology Management 69

AWS Big Data

FEBRUARY 1, 2024

Regulators have placed an increased focus to both protect the consumer through transaction reporting (typically T+1, meaning 1 business day after the trade date) and increase transparency into markets via near-real-time trade reporting requirements. The query to generate this chart has similar performance metrics as the preceding chart.

Data Warehouse 123

Data Warehouse Dashboards Risk Management Risk 123

CIO Business Intelligence

MAY 9, 2022

Whether it is individuals or businesses, financial institutions or investors, regulators or insurers, everyone in the ‘economic community’ is aware making ethical decisions is no longer just ‘wokeness’—it makes good business sense too. The pandemic has only further strengthened this realization.

Insurance 97

Insurance Risk Risk Management Enterprise 97

CIO Business Intelligence

MARCH 13, 2024

Still, he urges companies to look beyond measurements of coding speed. At Gallagher, a global insurance brokerage, risk management, and consulting services firm, executive search practice managing director Tom Wilson says his team uses gen AI for research and written communications.

IT 128

IT Consulting Testing Cost-Benefit 128

AWS Big Data

AUGUST 14, 2023

How do we define “risk” and “value” in the context of data products, and how can we measure this? To answer questions such as these and plan accordingly, organizations must implement data product portfolio management (DPPM). Strategies for measuring value and prioritizing data products are explored later in this post.

Management 79

Management Risk Measurement Optimization 79

Domino Data Lab

FEBRUARY 4, 2019

Eric’s article describes an approach to process for data science teams in a stark contrast to the risk management practices of Agile process, such as timeboxing. As the article explains, data science is set apart from other business functions by two fundamental aspects: Relatively low costs for exploration.

Data Science 66

Data Science Experimentation Data-driven Machine Learning 66