Smart Data Collective

JULY 16, 2023

billion in 2021 and is expected to be worth over $19 billion in 2030. We will talk about some of the biggest ways that big data is changing the future of risk management among hedge funds. Data Analytics Helps Create More Robust Risk Management Controls We mentioned years ago that big data is changing risk management.

ROI 97

ROI Data Analytics Analytics Risk Management 97

CIO Business Intelligence

MARCH 24, 2023

Financial services firms can use the 2030 Agenda and UN SDGs Framework as a guide for allocating ESG funds, such as creating a “green economy” team dedicated to helping companies that produce environmentally friendly goods and services.

Risk Management 52

Risk Management Machine Learning Data Quality Metrics 52

IBM Big Data Hub

FEBRUARY 8, 2024

It refers to a set of metrics used to measure an organization’s environmental and social impact and has become increasingly important in investment decision-making over the years. In response, asset managers began to develop ESG strategies and metrics to measure the environmental and social impact of their investments.

Measurement 77

Measurement Metrics Reporting Strategy 77

CIO Business Intelligence

JULY 13, 2023

To fulfill this, companies can be transparent about their strategies and risk management. The tech giant aims to be the first major company to be carbon neutral by 2030, operating on 24/7 carbon-free energy. Look to create specific, measurable, and attainable standards for your path toward sustainability.

IT 98

IT Internet of Things Strategy IoT 98

Cloudera

JUNE 23, 2021

When deployed smartly, data can help manage the disruption associated with such natural events. Analytics and the increased use of AI can improve underwriting and risk-management practices for customers, insurers, and reinsurers. De-Risking with Data and AI. Data and Analytics Can Help .

Insurance 52

Insurance Risk Modeling Risk Management 52

CIO Business Intelligence

FEBRUARY 13, 2025

Regulatory frameworks like the EU AI Act and NIST AI Risk Management Framework are shaping expectations around responsible AI deployment. Challenges Despite its benefits, AI adoption introduces a range of challenges that require initiative-taking risk management: Cybersecurity threats. Adversarial attacks. Model theft.

Risk 116

Risk Data-driven Finance Risk Management 116