Domino Data Lab

AUGUST 6, 2021

Model Risk Management is about reducing bad consequences of decisions caused by trusting incorrect or misused model outputs. Systematically enabling model development and production deployment at scale entails use of an Enterprise MLOps platform, which addresses the full lifecycle including Model Risk Management.

Risk Management 64

Risk Management Risk Modeling Enterprise 64

CIO Business Intelligence

AUGUST 6, 2024

This article explores the lessons businesses can learn from the CrowdStrike outage and underscores the importance of proactive measures like performing a business impact assessment (BIA) to safeguard operations against similar disruptions. This knowledge can inform your own risk management and business continuity strategies.

Risk Management 111

Risk Management Risk Testing Finance 111

DataRobot Blog

NOVEMBER 17, 2022

What’s your AI risk mitigation plan? Just as you wouldn’t set off on a journey without checking the roads, knowing your route, and preparing for possible delays or mishaps, you need a model risk management plan in place for your machine learning projects. Enterprise Ready AI: Managing Governance and Risk.

Risk Management 52

Risk Management Risk Modeling Management 52

Smart Data Collective

JULY 16, 2023

It has completely changed the game in business and finance. We will talk about some of the biggest ways that big data is changing the future of risk management among hedge funds. Data Analytics Helps Create More Robust Risk Management Controls We mentioned years ago that big data is changing risk management.

ROI 97

ROI Data Analytics Analytics Risk Management 97

Smart Data Collective

JULY 4, 2021

What Machine Learning Means to Asset Managers. On the finance side of businesses, asset management firms are utilizing machine learning with computerized maintenance management systems (CMMS) and data analytics to manage digital assets. Risk Management.

Machine Learning 143

Machine Learning Management B2B Unstructured Data 143

Cloudera

OCTOBER 20, 2021

As governments gather to push forward climate and renewable energy initiatives aligned with the Paris Agreement and the UN Framework Convention on Climate Change, financial institutions and asset managers will monitor the event with keen interest. What are the key climate risk measurements and impacts? Assess Variables. (ex.

Risk 80

Risk Modeling Risk Management Measurement 80

CIO Business Intelligence

OCTOBER 4, 2023

This also allows us to have the best in terms of global technology, fraud mitigation and prevention, and cybersecurity measures in all markets, all while complying with local regulations and compliance requirements.” This is, according to Shivananda, the brain of PayPal.

Digital Transformation 132

Digital Transformation Deep Learning Data Lake Risk 132

Smart Data Collective

SEPTEMBER 22, 2021

One bad breach and you are potentially risking your business in the hands of hackers. In this blog post, we discuss the key statistics and prevention measures that can help you better protect your business in 2021. No matter what the malicious activity is, at the core most cybercrime is finance-driven. Let’s dive in.

Statistics 133

Statistics Risk Measurement Software 133

CIO Business Intelligence

JULY 10, 2024

The only significant increase in risk mitigation was in accuracy, where 38% of respondents said they were working on reducing risk of hallucinations, up from 32% last year. However, organizations that followed risk management best practices saw the highest returns from their investments.

Enterprise 136

Enterprise Risk Modeling Risk Management 136

erwin

MARCH 12, 2020

It also highlights select enterprise architecture management suite (EAMS) vendors based on size and functionality, including erwin. The report notes six primary EA competencies in which we excel in the large vendor category: modeling, strategy translation, risk management, financial management, insights and change management.

Enterprise 85

Enterprise Reporting Management ROI 85

IBM Big Data Hub

DECEMBER 8, 2023

Types of risk While risks will vary greatly from one industry to the next, there are a few commonly identified risks worth noting. Compliance risk: When an organization violates rules both internal and external, putting its reputation or finances at risk.

Risk 67

Risk Strategy Risk Management Insurance 67

CIO Business Intelligence

JULY 25, 2024

Offered by the ISACA, the CRISC certification validates your ability to understand and mitigate enterprise IT risk using the latest best practices to identify, analyze, evaluate, assess, prioritize, and respond to risks. GAQM offers an e-course that takes 30 to 35 hours on average to complete that you can take prior to taking the exam.

IT 131

IT Management Risk Risk Management 131

Cloudera

MAY 18, 2021

These interactions are captured and the resulting synthetic data sets can be analysed for a number of applications, such as training models to detect emergent fraudulent behavior, or exploring “what-if” scenarios for risk management. Value-at-Risk (VaR) is a widely used metric in risk management. Intraday VaR.

Risk 99

Risk Marketing Risk Management Data-driven 99

Smart Data Collective

JULY 23, 2019

Risk management , e.g. understanding of acceptable and too dangerous risks. For instance, magik_moose from Reddit states that pros must follow a few rules, including proper risk management, clear targets, independent analysis, and control over emotions. Here, the disruptive cycle starts. Steenbarger. Gox in 2014.

Recreation/Entertainment 96

Recreation/Entertainment Risk Management Marketing Risk 96

Cloudera

APRIL 19, 2023

Investment banks can use data on market trends and investor behavior to create new financial products and services, such as derivatives and structured finance products. This includes implementing strong security measures, such as encryption and multi-factor authentication, and only collecting and using data with customer consent.

Data-driven 70

Data-driven Data Architecture Measurement Risk 70

Sisense

SEPTEMBER 3, 2020

Besides strong technical skills (for instance, use of Hadoop, programming in R and Python , math, statistics), data scientists should also be able to tackle open-ended questions and undirected research in ways that bring measurable business benefits to their organization. See an example: Explore Dashboard.

Statistics 97

Statistics Metrics Visualization Finance 97

CIO Business Intelligence

OCTOBER 2, 2024

Risk management Imagine if you had to evacuate a six-mile radius due to a toxic substance being released into the air from one of your plants, such as what happened in 2020 at a well-known company’s food plant in Camilla, GA. Finance and procurement. Lower impact, focusing on transparency and accuracy.

Gap analysis 119

Gap analysis Risk Manufacturing Data Governance 119

Cloudera

MARCH 18, 2021

The Fundamental Review of the Trading Book (FRTB), introduced by the Basel Committee on Banking Supervision (BCBS), will transform how banks measure risk. In order to help make banks more resilient to drastic market changes, it will impose capital requirements that are more closely aligned with the market’s actual risk factors.

Machine Learning 55

Machine Learning Risk Risk Management Measurement 55

IBM Big Data Hub

JUNE 29, 2023

IBP brings together various functions, including sales, marketing, finance, supply chain, human resources, IT and beyond to collaborate across business units and make informed decisions that drive overall business success. Key performance indicators (KPIs) are established to measure progress and enable proactive management.

Key Performance Indicator 76

Key Performance Indicator Forecasting Sales Data Integration 76

Cloudera

SEPTEMBER 7, 2023

But these measures alone may not be sufficient to protect proprietary information. Even when backed by robust security measures, an external AI service is a tempting, outsized target for potential security breaches: each integration point, data transfer, or externally exposed API becomes a target for malicious actors.

Insurance 83

Insurance Risk Data-driven Finance 83

datapine

MARCH 31, 2022

For instance, you will learn valuable communication and problem-solving skills, as well as business and data management. Added to this, if you work as a data analyst you can learn about finances, marketing, IT, human resources, and any other department that you work with. BI Data Scientist.

Business Intelligence 239

Business Intelligence Statistics Visualization Data-driven 239

IBM Big Data Hub

OCTOBER 16, 2023

It encompasses risk management and regulatory compliance and guides how AI is managed within an organization. Such datasets are measured by how many “tokens” (words or word parts) they include. An AI governance framework ensures the ethical, responsible and transparent use of AI and machine learning (ML).

Risk 70

Risk Modeling Management Metadata 70

Octopai

JUNE 16, 2021

The excessive financial risk-taking engaged in by banks on the eve of the 2007-2009 financial recession prompted new regulations to strengthen the supervision, regulation and risk management of banks. Credit Risk Management and Basel III. Operational risk management. Operational risk (i.e.

Management 52

Management Risk Management Risk Visualization 52

Jet Global

AUGUST 20, 2019

One of the most useful measures in financial performance is Free Cash Flow (FCF). A cash flow statement is an essential tool used to manage cash flow that includes information from operations, investing, and financing. Risk Management. BI software is a reliable tool to manage risks.

Forecasting 68

Forecasting Business Intelligence Reporting Software 68

Ontotext

JULY 6, 2023

Case studies The risk and opportunity event detection use case discussed above combines all of Ontotext’s capabilities: storing and managing large amounts of data adding meaning to it (e.g.,, By promptly identifying and addressing risks, it enhances operational resiliency and enables proactive risk management.

Cost-Benefit 52

Cost-Benefit Metadata Experimentation Risk 52

IBM Big Data Hub

JANUARY 30, 2024

Security risks: Maintaining strong security measures is a critical component of enterprise cloud adoption. A complex multicloud environment with data moving across private and public clouds poses obvious risks. Adhering to industry regulations is crucial for organizations in healthcare, energy, finance and many other sectors.

Strategy 91

Strategy Cost-Benefit Risk Optimization 91

IBM Big Data Hub

FEBRUARY 22, 2024

As clients continue to face industry-specific challenges, IBM Cloud is continuously innovating to help them thrive in areas related to trade finance , payments , high performance computing and more. And our work doesn’t stop there.

Enterprise 73

Enterprise Risk Data Processing Business Driver 73

CIO Business Intelligence

DECEMBER 9, 2024

Looking beyond governance, George shares the five strategic priorities business leaders should keep in mind to capitalise on the AI opportunity: Risk management: Organisations should prioritise building governance frameworks to align AI initiatives with legal, ethical, and operational standards, ensuring risk is managed proactively.

Data Governance 52

Data Governance Data-driven Risk Digital Transformation 52

bridgei2i

MAY 4, 2020

So the COVID-19 crisis response has hence been centrifugal, and it has varied across countries with respect to infections, control, and lockdown measures. Risk management, of course, is more relevant than ever, monitoring exposure to internal and external signals now. So the focus here is also to protect lives and livelihoods.

Enterprise 91

Enterprise Digital Transformation Sales Recreation/Entertainment 91

IBM Big Data Hub

FEBRUARY 15, 2024

It refers to a set of metrics used to measure an organization’s environmental and social impact and has become increasingly important as it relates to a company’s business model, risk management strategy , reporting requirements and more.

Reporting 78

Reporting Consulting Risk Metrics 78

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. The ability to measure results (risk-reducing evidence). So there are three unusual books suggested for your reading list. Secondly, because stakeholders.

Data Science 66

Data Science Experimentation Machine Learning Data-driven 66

Domino Data Lab

APRIL 3, 2019

Also, while surveying the literature two key drivers stood out: Risk management is the thin-edge-of-the-wedge ?for Edge caches become crucial for managing data on its way from web servers to mobile devices. Probably the best one-liner I’ve encountered is the analogy that: DG is to data assets as HR is to people. credit cards).

Machine Learning 84

Machine Learning Data Governance Metadata Data Science 84

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. The answer is simple—bad things and legal liabilities.

Risk Management 362

Risk Management Risk Testing Measurement 362

datapine

FEBRUARY 22, 2022

This includes defining the main stakeholders, assessing the situation, defining the goals, and finding the KPIs that will measure your efforts to achieve these goals. Improved risk management: Another great benefit from implementing a strategy for BI is risk management. Identify key performance indicators (KPIs).

Business Intelligence 218

Business Intelligence Strategy Cost-Benefit Dashboards 218

Andrew White

JANUARY 11, 2021

Government, Finance, … Tough question…mostly as it’s hard to determine which industry due to different uses and needs of D&A. As such banking, finance, insurance and media are good examples of information-based industries compared to manufacturing, retail, and so on. Value Management or monetization. Governance.

Data Analytics 52

Data Analytics Analytics Data-driven Finance 52

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. Regulatory frameworks like the EU AI Act and NIST AI Risk Management Framework are shaping expectations around responsible AI deployment.

Risk 116

Risk Data-driven Finance Risk Management 116

David Menninger's Analyst Perspectives

JANUARY 28, 2025

The need to account for these considerations in parallel with financial accounting began growing early in the century and accelerated as governments and regulatory authorities began to require companies to measure and document activities and outcomes. Risk Management : Software to help identify, assess and mitigate ESG-related risks.

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Software Management Metrics Data Collection 130