IBM Big Data Hub

SEPTEMBER 20, 2022

You can improve collaboration, compare model predictions, quantify model risk and optimize model performance, identify and mitigate bias, reduce risks like drift and decrease the need for model retraining. It’s not just about granting proper access to data science teams.

Metadata 56

Metadata Machine Learning Data-driven Modeling 56

BizAcuity

APRIL 6, 2022

Hence, a lot of time and effort should be invested into research and development, hedging and risk management. Data warehousing, data integration and BI systems: The KPIs and data architecture that crypto casinos need to track alter slightly from what regular onlines casinos keep track of.

Data Analytics 52

Data Analytics Analytics B2B Deep Learning 52

CIO Business Intelligence

FEBRUARY 22, 2024

The perfect ESG software would encompass all lifecycle elements of an ESG strategy, be a potent program management tool, a risk management tool, provider of analytics, and a vehicle for accountability and verification.” That’s where the single source of truth comes into perspective and increases performance,” Karcher says.

Software 91

Software Reporting KPI Enterprise 91

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

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. Points of integration. So what’s holding organizations back from fully using their data to make better, smarter business decisions? Regulations.

Data Governance 89

Data Governance Metadata Data Quality Risk Management 89

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. We love that data is moving permanently into the C-Suite. Because it is that important.

Business Intelligence 218

Business Intelligence Strategy Cost-Benefit Key Performance Indicator 218

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. Precisely buys PlaceIQ.

Technology 143

Technology Enterprise Consulting Software 143

CIO Business Intelligence

JULY 6, 2023

Another benefit is greater risk management. Using automation technologies helps meet client expectations and ensures consistency, while lowering risks that can be attributed to human error.” The company is also using digital twins in manufacturing to unlock new capabilities for product innovation and consumer engagement.

Cost-Benefit 119

Cost-Benefit Technology Unstructured Data Testing 119

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

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