CIO Business Intelligence

OCTOBER 2, 2024

It’s essential to regularly audit your AI systems to detect and mitigate biases in data collection, algorithm design and decision-making processes. This can involve using diverse data sources, conducting regular bias audits and maintaining human oversight to ensure fairness at every stage. Finance and procurement.

Gap analysis 119

Gap analysis Risk Manufacturing Data Governance 119

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

Smart Data Collective

FEBRUARY 28, 2023

Here at Smart Data Collective, we have blogged extensively about the changes brought on by AI technology. Diversification: Risk parity allows diversifying assets by spreading risk evenly across several asset classes, such as Equities Bonds Commodities Currencies It reduces the total portfolio risk.

Machine Learning 117

Machine Learning Risk Cost-Benefit Marketing 117

Cloudera

APRIL 19, 2023

Data has become an essential driver for new monetization initiatives in the financial services industry. For example, a retail bank can use customer transaction data to develop personalized financial products, such as credit cards and investment portfolios, tailored to individual needs.

Data-driven 70

Data-driven Data Architecture Measurement Risk 70

Cloudera

MARCH 18, 2021

There will be an increased volume of data storage required, due to the longer history needed by the ES approach to risk measurement. And there will be expansions on the requirements for managing and monitoring both data lineage and data security. 30x increase in computational requirements. .

Machine Learning 55

Machine Learning Risk Risk Management Measurement 55

Cloudera

FEBRUARY 14, 2018

We share the same obstacles our customers face – most of which are around data collection, data quality (or lack thereof), data governance as well as misalignment or miscommunication about who is responsible and accountable for managing and analyzing different datasets and analytical outcomes.

Data-driven 44

Data-driven Data Quality Risk Interactive 44

FineReport

MARCH 24, 2024

Data analysts contribute value to organizations by uncovering trends, patterns, and insights through data gathering, cleaning, and statistical analysis. They collaborate with cross-functional teams to meet organizational objectives and work across diverse sectors, including business intelligence, finance, marketing, and consulting.

Statistics 52

Statistics Data mining Visualization Reporting 52

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 Machine Learning Data-driven 66

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

Jet Global

JULY 28, 2023

To find out more about the state of Finance in 2023, insightsoftware partnered with Hanover Research to survey accounting and finance decision-makers on the most pressing trends of the year. Here, we discuss how factors like market uncertainty and IT dependence impact finance teams throughout EMEA.

Finance 52

Finance Uncertainty Reporting Forecasting 52

Jet Global

NOVEMBER 15, 2021

For an organization to be successful in their tax function, they need to evaluate the performance of their tax function using a variety of KPIs and metrics, ranging from traditional KPIs such as effective tax rate, filing timelines, financial risk management, etc.; How to Compare Reporting & BI Solutions. Download Now.

Metrics 52

Metrics Reporting KPI Risk Management 52

Jet Global

MAY 9, 2024

Data ingestion methods can include batch ingestion (collecting data at scheduled intervals) or real-time streaming data ingestion (collecting data continuously as it is generated). Technologies used for data ingestion include data connectors, ingestion frameworks, or data collection agents.

Data Lake 52

Data Lake Data Warehouse Business Intelligence Machine Learning 52

Jet Global

NOVEMBER 29, 2023

To be considered, product capabilities must include close management, financial consolidation, financial statement reconciliation and journal entry processing. Optional capabilities include financial reporting risk management and disclosure management.

Reporting 52

Reporting Marketing Forecasting Management 52

David Menninger's Analyst Perspectives

JANUARY 28, 2025

Im focusing here on the environmental aspects of ESG compliance because they are the most challenging, especially in the data collection and analysis. Most of the data for the social elements are brought together and can be reported in existing systems, especially human capital management.

Software 130

Software Management Metrics Data Collection 130

CIO Business Intelligence

FEBRUARY 13, 2025

From manufacturing to healthcare and finance to defense, AI enhances efficiency, decision-making and operational agility, providing organizations a competitive edge in an increasingly data-driven world. Deploy real-time threat detection and model drift monitoring to proactively manage vulnerabilities and prevent AI degradation.

Risk 116

Risk Data-driven Finance Risk Management 116