IBM Big Data Hub

AUGUST 15, 2022

How does a data architecture impact your ability to build, scale and govern AI models? To be a responsible data scientist, there’s two key considerations when building a model pipeline: Bias: a model which makes predictions for people of different group (or race, gender ethnic group etc.) Model risk management.

Data mining 60

Data mining Risk Modeling Risk Management 60

erwin

SEPTEMBER 17, 2020

With complex data architectures and systems within so many organizations, tracking data in motion and data at rest is daunting to say the least. Harvesting the data through automation seamlessly removes ambiguity and speeds up the processing time-to-market capabilities.

Cost-Benefit 143

Cost-Benefit Data Governance Metadata Reporting 143

CIO Business Intelligence

APRIL 29, 2022

From a policy perspective, the organization needs to mature beyond a basic awareness and definition of data compliance requirements (which typically holds that local operations make data “sovereign” by default) to a more refined, data-first model that incorporates corporate risk management, regulatory and reporting issues, and compliance frameworks.

Digital Transformation 132

Digital Transformation Strategy Data-driven Data Strategy 132

Cloudera

JULY 29, 2022

When it comes to FSI, one of the key findings from the report is the importance of risk management and regulatory compliance when it comes to data management. In an industry that is subject to stringent regulatory requirements, it is critical to use data to accurately scale up risk management.

Data Architecture 89

Data Architecture Data Strategy Risk Management Strategy 89

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.

Insurance 88

Insurance Data Architecture Risk Management Risk 88

Sisense

SEPTEMBER 3, 2020

ROI (return on investment) is also a key concern, as business analysts apply their data-related activities to finance, marketing, and risk management, for instance. Business analysts may work together with data scientists and data analysts in areas such as metric definition and database design.

Statistics 97

Statistics Metrics Visualization Finance 97

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

TDAN

AUGUST 1, 2023

Rural areas worldwide are disconnected in a landscape that nearly requires the internet to work or socially interact. But eventually, the entire planet will have equal, high-speed internet access. Neglecting the digital divide and broadband gap will cause cybersecurity concerns for communities entering the digital era.

Interactive 52

Interactive Risk Management Data Architecture Risk 52

TDAN

MAY 16, 2023

Cybersecurity risks in procurement can result in significant financial loss, reputational damage, and legal liability. Procurement is an essential function within any organization, involving the acquisition of goods and services necessary for business operations.

Risk 52

Risk Technology Risk Management Data Architecture 52

TDAN

DECEMBER 31, 2019

If you are targeted by a criminal online, then you risk losing everything— from your essential data to your reputation. The average cost of a global data breach cost has increased in 2019 and is now $3.92 Cyber-attacks are a huge problem for today’s businesses.

Risk 69

Risk Risk Management Data Architecture Data Strategy 69

erwin

OCTOBER 24, 2019

It is the only solution that can automatically harvest, transform and feed metadata from operational processes, business applications and data models into a central data catalog and then made accessible and understandable within the context of role-based views. With erwin, organizations can: 1.

Metadata 104

Metadata Management Data-driven Data Architecture 104

Octopai

APRIL 8, 2020

While there are many factors that led to this event, one critical dynamic was the inadequacy of the data architectures supporting banks and their risk management systems. These regulations required quarterly risk-evaluation reports. One of the most important components of that legislation was BCBS 239 Principle 2.

Finance 52

Finance Cost-Benefit Metadata Data Architecture 52

Cloudera

SEPTEMBER 7, 2023

AI-ify risk management. Leverage ML/AI to refine risk models, incorporating data from diverse sources, and predicting outcomes based on market sentiment, climate data, etc. Practice real-time risk management. Automate wealth management. Simplify regulatory compliance.

Insurance 83

Insurance Risk Data-driven Finance 83

Cloudera

NOVEMBER 25, 2021

A modern, cloud-native data architecture with separation of compute and storage, containerized data services (for agility and elasticity), and object storage (for scale and cost-efficiency). Customer use cases can be grouped into three categories. .

Machine Learning 92

Machine Learning IoT Risk Digital Transformation 92

IBM Big Data Hub

DECEMBER 4, 2023

Clearly define the objective of the implementation project and determine its scope, timeline and budget as well as create a risk management plan. This is also the time to determine which data will be migrated, as some older data may be best stored in a secure archive.

Testing 79

Testing Consulting Digital Transformation Cost-Benefit 79