Smart Data Collective

JULY 16, 2023

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

CIO Business Intelligence

JUNE 25, 2024

Its performance might, like so many political polls, be within the boundaries of statistical noise — especially as it upped its 2023 investment in R&D to some $30B. Which in turn should be their assessment of management’s plans for improving competitive advantage. It would be if it weren’t for a lovely irony.

Risk 118

Risk Risk Management Statistics Management 118

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.

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Statistics Metrics Visualization Finance 97

Smart Data Collective

MAY 25, 2023

Fortunately, there are a number of measures that small businesses can take to protect their sensitive information from unauthorized access. Recent statistics indicate that 43% of cyberattacks target small businesses, and 60% of the attacked enterprises go out of business in six months. Additionally, cybercrime costs SMEs over $2.2

Internet of Things 111

Internet of Things Cost-Benefit Risk Software 111

CIO Business Intelligence

APRIL 27, 2023

They’re required to work closely with upper management, executives, and key stakeholders to identify business needs and requirements. Relevant skills for a systems architect include risk management, performance optimization, security, leadership, and a strong knowledge of complex computer systems.

IT 116

IT Software Risk Management 116

IBM Big Data Hub

DECEMBER 8, 2023

Step 2: Perform a risk assessment The next step is to quantify the level of risk for each risk identified during the first step. This is a key part of the risk mitigation plan since this step lays the groundwork for the entire plan. This approach may require the organization to compromise other resources or strategies.

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Risk Strategy Risk Management Insurance 67

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.” Track, measure, and reuse. Secure sponsorship. “A

Cost-Benefit 119

Cost-Benefit Technology Unstructured Data Testing 119

DataRobot Blog

MAY 26, 2022

To start with, SR 11-7 lays out the criticality of model validation in an effective model risk management practice: Model validation is the set of processes and activities intended to verify that models are performing as expected, in line with their design objectives and business uses.

Risk 52

Risk Modeling Metrics Business Objectives 52

BizAcuity

APRIL 1, 2023

Anti-Money Laundering (AML) is increasingly becoming a crucial branch of risk management and fraud prevention. Widely used to discover trends, patterns, check assumptions and spot anomalies or outliers, EDA involves a variety of techniques including statistical analysis, and machine learning to gain a better understanding of data.

Machine Learning 52

Machine Learning Predictive Analytics Predictive Modeling Risk 52

BizAcuity

JANUARY 18, 2023

Anti-Money Laundering (AML) is increasingly becoming a crucial branch of risk management and fraud prevention. Widely used to discover trends, patterns, check assumptions and spot anomalies or outliers, EDA involves a variety of techniques including statistical analysis, and machine learning to gain a better understanding of data.

Machine Learning 52

Machine Learning Predictive Analytics Predictive Modeling Risk 52

Andrew White

JANUARY 11, 2021

Value Management or monetization. Risk Management (most likely within context of governance). Product Management. measuring value, prioritizing (where to start), and data literacy? Saul Judah is our main person focusing on D&A risk management. Governance. Architecture. Great idea.

Data Analytics 52

Data Analytics Analytics Data-driven Finance 52

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

O'Reilly on Data

MAY 18, 2020

And last is the probabilistic nature of statistics and machine learning (ML). Because statistics: Last is the inherently probabilistic nature of ML. Materiality is a widely used concept in the world of model risk management , a regulatory field that governs how financial institutions document, test, and monitor the models they deploy.

Risk 364

Risk Modeling Data Processing Reporting 364

Corinium

APRIL 25, 2019

For example, P&C insurance strives to understand its customers and households better through data, to provide better customer service and anticipate insurance needs, as well as accurately measure risks. Life insurance needs accurate data on consumer health, age and other metrics of risk.

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Insurance Risk IoT Data-driven 150

IBM Big Data Hub

FEBRUARY 15, 2024

Surface temperature statistics paint a compelling picture of the changing climate: 2023, according to the European Union climate monitor Copernicus, was the warmest year on record—nearly 1.5 Explore sustainability strategy Learn about climate and weather risk management The post Climate change examples appeared first on IBM Blog.

Insurance 59

Insurance Risk Statistics Strategy 59

Insight

FEBRUARY 19, 2020

The genre uniqueness is a measure of how unique a movie’s combination of genre categories is relative to all movies in my data set. I trained 500 models on these 500 random subsamples and built a distribution of ROI values from which I can extract summary statistics such as the median and 95% confidence interval.

Risk 67

Risk ROI Modeling Metrics 67

erwin

APRIL 21, 2020

By combining physical system catalogs, critical data elements, and key performance measures with clearly defined product and sales goals, you can manage the effectiveness of your business and ensure you understand what critical systems are for business continuity and measuring corporate performance.

Measurement 97

Measurement Sales Data Governance Metadata 97

erwin

APRIL 21, 2020

As COVID-19 continues to spread, organizations are evaluating and adjusting their operations in terms of both risk management and business continuity. So one of the biggest lessons we’re learning from COVID-19 is the need for data collection, management and governance. Clearly Document Data Policies and Rules.

Measurement 96

Measurement Sales Data Governance Metadata 96

datapine

AUGUST 29, 2022

It mentions the completeness of data (as opposed to sampling), the power to quantify and digitize new formats of information that were previously inaccessible, as well as the ability to use new databases (like Hadoop and NoSQL) and statistical tools (machine learning and data mining) to describe huge quantities of data.

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Big Data Data Analytics Analytics Data mining 263