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. The study of security in ML is a growing field—and a growing problem, as we documented in a recent Future of Privacy Forum report. [8]. Currency amounts reported in Taiwan dollars.

Machine Learning 198

Machine Learning Modeling Testing Risk Management 198

Smart Data Collective

OCTOBER 26, 2023

The involvement of cybersecurity professionals in such tasks helps maintain a compliant and secure environment, protecting sensitive data and lessening the likelihood of being attacked. They also deliver reports outlining the organization’s security posture and proposed solutions to management and other invested parties.

Technology 93

Technology Risk Measurement IoT 93

CIO Business Intelligence

APRIL 28, 2022

Its success is one of many instances illustrating how the financial services industry is quickly recognizing the benefits of data analytics and what it can offer, especially in terms of risk management automation, customized experiences, and personalization. . The Solution for Scale and Speed Lies in the Cloud .

Analytics 93

Analytics Insurance Big Data Uncertainty 93

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 224

Machine Learning Risk Management Statistics 224

FineReport

APRIL 9, 2024

From advanced analytics to predictive modeling, the evolving landscape of business intelligence is revolutionizing how data is processed and leveraged for actionable insights. Comparing leading BI tools provides valuable insights into the diverse capabilities and features available for data analysis and reporting.

Business Intelligence 52

Business Intelligence Software Data-driven Predictive Modeling 52

Ontotext

APRIL 6, 2023

It can apply automated reasoning to extract further knowledge and make new connections between different pieces of data. This model is used in various industries to enable seamless data integration, unification, analysis and sharing. And that’s not all. Some of the top U.S.

Manufacturing 83

Manufacturing Cost-Benefit Knowledge Discovery Optimization 83

Cloudera

FEBRUARY 15, 2024

From stringent data protection measures to complex risk management protocols, institutions must not only adapt to regulatory shifts but also proactively anticipate emerging requirements, as well as predict negative outcomes. This results in enhanced efficiency in compliance processes.

Insurance 88

Insurance Data Architecture Risk Management Risk 88

Smart Data Collective

SEPTEMBER 25, 2019

However, according to a 2018 North American report published by Shred-It, the majority of business leaders believe data breach risks are higher when people work remotely. Whether you work remotely all the time or just occasionally, data encryption helps you stop information from falling into the wrong hands.

Technology 86

Technology Statistics Strategy Insurance 86

CIO Business Intelligence

FEBRUARY 22, 2024

Increasing pressures around environment, social, and governance (ESG) concerns have organizations across industries turning to their CIOs to revamp their strategies for ESG reporting. To date, many companies have merely repurposed existing technology solutions for their ESG reporting needs. So getting specific is important.”

Software 90

Software Reporting KPI Enterprise 90

erwin

FEBRUARY 4, 2021

However, organizations still encounter a number of bottlenecks that may hold them back from fully realizing the value of their data in producing timely and relevant business insights. So what’s holding organizations back from fully using their data to make better, smarter business decisions? Data Governance Bottlenecks.

Data Governance 89

Data Governance Metadata Data Quality Risk Management 89

Ontotext

FEBRUARY 26, 2024

The answers to these foundational questions help you uncover opportunities and detect risks. Risk management : Understanding the correlation between events and stock price fluctuations helps manage risk. Semantic model management – events schema and instance management as well as taxonomical alignment.

Data-driven 59

Data-driven Risk Modeling Risk Management 59

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 83

Insurance Risk Data-driven Finance 83

Domino Data Lab

APRIL 3, 2019

The longer answer is that in the context of machine learning use cases, strong assumptions about data integrity lead to brittle solutions overall. Probably the best one-liner I’ve encountered is the analogy that: DG is to data assets as HR is to people. Those days are long gone if they ever existed. a second priority?at

Data Governance 84

Data Governance Machine Learning Metadata Big Data 84

Cloudera

AUGUST 21, 2021

There is now greater demand for business and customer intelligence and traditional methods of batch processing can no longer cope with the influx of data, most of which is unstructured. The bank established the Enterprise Information & Decision Platform (EIDP) as a single source of truth running data integration on the Cloudera platform.

Data-driven 103

Data-driven Digital Transformation Risk Risk Management 103

datapine

FEBRUARY 22, 2022

Improved risk management: Another great benefit from implementing a strategy for BI is risk management. IT should be involved to ensure governance, knowledge transfer, data integrity, and the actual implementation. Find a way to integrate it into the new strategy, or you will have upset employees.

Business Intelligence 218

Business Intelligence Strategy Cost-Benefit Key Performance Indicator 218

Alation

DECEMBER 8, 2022

There seem to be as many data governance vendors as there are data governance definitions! But by reviewing the offerings of the leading 18 vendors, Forrester Research’s new report, The Data Governance Solutions Landscape, Q4 2022 , can help you narrow your options based on core and extended features, size, and industry focus.

Data Governance 52

Data Governance Data-driven Strategy Reporting 52

Jet Global

NOVEMBER 16, 2022

While reports are important, many board members aren’t taking the contents of board reports to mind. Having easy-to-read and straightforward board reports is something many companies can work on to forward their vision. How can you help your company get ahead with comprehensive board reporting that hits home?

Reporting 94

Reporting Software Key Performance Indicator Dashboards 94

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.

Technology 143

Technology Enterprise Consulting Software 143

Jet Global

NOVEMBER 29, 2023

Gartner sets a notoriously high bar for inclusion in its MQ reports. Like other Gartner Magic Quadrant reports, the financial close and consolidation version provides a graphical comparative positioning of technology and service providers where market growth is high and provider differentiation is distinct. Extensive Data Integration.

Reporting 52

Reporting Marketing Software Management 52

Jet Global

MAY 9, 2024

A data pipeline is a series of processes that move raw data from one or more sources to one or more destinations, often transforming and processing the data along the way. Data pipelines support data science and business intelligence projects by providing data engineers with high-quality, consistent, and easily accessible data.

Data Lake 52

Data Lake Data Warehouse Business Intelligence Machine Learning 52

Jet Global

JULY 31, 2022

Tangibly, this means more planning, more accurate and deeper forecasting, and more strategic decision-making based on real-time reporting. Respondents also reported that their processes are significantly more efficient in 2022 than they were in 2021. Disclosure management (up 13 percent from 67 percent in 2021 to 80 percent in 2022).

Finance 52

Finance Forecasting Operational Reporting Reporting 52