CIO Business Intelligence

NOVEMBER 21, 2023

After all, 41% of employees acquire, modify, or create technology outside of IT’s visibility , and 52% of respondents to EY’s Global Third-Party Risk Management Survey had an outage — and 38% reported a data breach — caused by third parties over the past two years.

IT 124

IT Risk Cost-Benefit Risk Management 124

Smart Data Collective

OCTOBER 26, 2023

They set up and use security measures such as firewalls, intrusion detection systems (IDS), and antivirus software to prevent threats, including hacking, malware infection, and other malicious activity. They work with software developers and system administrators to ensure that security is prioritized from the start of development.

Technology 91

Technology Risk Measurement IoT 91

CIO Business Intelligence

MARCH 24, 2023

The Business Application Research Center (BARC) warns that data governance is a highly complex, ongoing program, not a “big bang initiative,” and it runs the risk of participants losing trust and interest over time. Your data governance program needs to continually break down new siloes.

Data Governance 142

Data Governance Management Metadata Data Quality 142

CIO Business Intelligence

APRIL 12, 2022

Even though Nvidia’s $40 billion bid to shake up enterprise computing by acquiring chip designer ARM has fallen apart, the merger and acquisition (M&A) boom of 2021 looks set to continue in 2022, perhaps matching the peaks of 2015, according to a report from risk management advisor Willis Towers Watson. trillion in 2020 to $5.16

Technology 140

Technology Enterprise Consulting Software 140

O'Reilly on Data

DECEMBER 12, 2019

In addition to newer innovations, the practice borrows from model risk management, traditional model diagnostics, and software testing. There are at least four major ways for data scientists to find bugs in ML models: sensitivity analysis, residual analysis, benchmark models, and ML security audits. Sensitivity analysis.

Machine Learning 187

Machine Learning Modeling Testing Risk Management 187

Jet Global

NOVEMBER 16, 2022

Here are some board report best practices to follow that can help you create a report that resonates with members, as well as tips on how to leverage the power of board report software to help streamline your reporting. Five Key Factors to Consider When Evaluating Financial Reporting Software. management satisfaction.

Reporting 94

Reporting Software Key Performance Indicator Dashboards 94

O'Reilly on Data

NOVEMBER 13, 2018

At the recent Strata Data conference we had a series of talks on relevant cultural, organizational, and engineering topics. Here's a list of a few clusters of relevant sessions from the recent conference: Data Integration and Data Pipelines. Data Platforms. Model lifecycle management.

Machine Learning 217

Machine Learning Risk Management Statistics 217

CIO Business Intelligence

MAY 18, 2022

The discipline of enterprise architecture (EA) is often criticized for forcing technology choices on business users or producing software analyses no one uses. That requires understanding the systems, whether a core banking platform or wealth management, that are all exposed through APIs.”. Tracking data and APIs.

Enterprise 97

Enterprise Measurement Data-driven Software 97

Alation

DECEMBER 8, 2022

At the risk of introducing yet another data governance definition, here’s how Forrester defines the term: A suite of software and services that help you create, manage, and assess the corporate policies, protocols, and measurements for data acquisition, access, and leverage. Data privacy and protection.

Data Governance 52

Data Governance Data-driven Strategy Reporting 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. Extensive Data Integration.

Reporting 52

Reporting Marketing Software Management 52

Cloudera

SEPTEMBER 7, 2023

Perhaps the biggest challenge of all is that AI solutions—with their complex, opaque models, and their appetite for large, diverse, high-quality datasets—tend to complicate the oversight, management, and assurance processes integral to data management and governance. AI-ify risk management.

Insurance 81

Insurance Risk Data-driven Finance 81

Jet Global

MAY 9, 2024

Batch processing pipelines are designed to decrease workloads by handling large volumes of data efficiently and can be useful for tasks such as data transformation, data aggregation, data integration , and data loading into a destination system. What is the difference between ETL and data pipeline?

Data Lake 52

Data Lake Data Warehouse Business Intelligence Machine Learning 52

CIO Business Intelligence

JULY 6, 2023

As part of our intelligent automation program, we now have around 3,000 software bots in production, with about 75 more coming online each month,” Austin says. Another benefit is greater risk management. What’s more, we’re now reviewing incoming bots to see if we can make them smarter with AI capabilities. “We

Cost-Benefit 110

Cost-Benefit Technology Unstructured Data Testing 110

Jet Global

JULY 31, 2022

Other related tasks that saw big jumps in prioritization for finance were “management of company’s investments,” “internal risk management,” and “short-term business strategy,” all of which carry strong strategic importance. As Finance’s role in organizational strategy continues to grow, the need for agility becomes more urgent.

Finance 52

Finance Forecasting Operational Reporting Reporting 52

Smart Data Collective

SEPTEMBER 25, 2019

Whether you work remotely all the time or just occasionally, data encryption helps you stop information from falling into the wrong hands. It Supports Data Integrity. Something else to keep in mind about encryption technology for data protection is that it helps increase the integrity of the information alone.

Technology 84

Technology Statistics Strategy Insurance 84

Domino Data Lab

APRIL 3, 2019

I have expertise in data science, plus adjacent fields such as cloud computing, software architecture, natural language, data management… So I should have a good working knowledge about the topic – but I didn’t. Probably the best one-liner I’ve encountered is the analogy that: DG is to data assets as HR is to people.

Data Governance 84

Data Governance Machine Learning Metadata Big Data 84