CIO Business Intelligence

MARCH 19, 2025

Additionally, CDOs should work closely with sustainability officers to align data collection and reporting processes with ESG goals, ensuring transparency and accountability. Beyond environmental impact, social considerations should also be incorporated into data strategies.

IT 59

IT Data Governance Data-driven Metrics 59

Smart Data Collective

FEBRUARY 28, 2023

Here at Smart Data Collective, we have blogged extensively about the changes brought on by AI technology. Although Bridgewater Associates brought the risk parity fund to the market, they didn’t define the word until 2005, when Edward Qian of PanAgora Asset Management used it for the first time in a white paper he published.

Machine Learning 117

Machine Learning Risk Cost-Benefit Marketing 117

Sisense

SEPTEMBER 3, 2020

Overall, however, what often characterizes them is a focus on data collection, manipulation, and analysis, using standard formulas and methods, and acting as gatekeepers of an organization’s data. Data analysts might report to a CIO, a Chief Data Officer (CDO), or possibly to a data scientist or business analyst team leader.

Statistics 97

Statistics Metrics Visualization Finance 97

Ontotext

MAY 5, 2023

It is reused in modeling the publication of entity data or regulatory-mandated data exchange, as seen in the example provided below. Integrating reporting to move to a more streamlined, efficient approach to data collection. This makes it easier to manage and update information as the industry changes.

Data Collection 64

Data Collection Risk Data-driven Interactive 64

IBM Big Data Hub

MARCH 26, 2024

Businesses cannot prove there is no forced labor in their supply chain without working with procurement—to understand their supplier base, where they are located, and what might be high risk—let alone solution to embed proactive risk management in vendor onboarding.

Measurement 60

Measurement Metrics Strategy Reporting 60

O'Reilly on Data

OCTOBER 18, 2022

As AI technologies are adopted more broadly in security and other high-risk applications, we’ll all need to know more about AI audit and risk management. applies external authoritative standards from laws, regulations, and AI risk management frameworks. Bias is about more than data and models.

Risk Management 362

Risk Management Risk Testing Measurement 362

Domino Data Lab

FEBRUARY 4, 2019

In other words, your talk didn’t quite stand out enough to put onstage, but you still get “publish or perish” credits for presenting. 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. This is not that.

Data Science 66

Data Science Experimentation Machine Learning Data-driven 66