CIO Business Intelligence

JULY 23, 2024

Security and data governance is a growing challenge, and 61% of companies reported a third-party data breach or security incident, a 49% increase over the last year, according to The 2024 Third-Party Risk Management Study. “Be

Risk 142

Risk IT Risk Management Cost-Benefit 142

CIO Business Intelligence

FEBRUARY 20, 2025

By collecting and evaluating large amounts of data, HR managers can make better personnel decisions faster that are not (only) based on intuition and experience. Solid reporting provides transparent, consistent and combined HR metrics essential for strategic planning, risk management and the management of HR measures.

Big Data 84

Big Data Measurement Visualization Machine Learning 84

CIO Business Intelligence

MAY 9, 2024

This includes skills in statistical analysis, data visualization, and predictive modeling. Equally important, a CAIO should have knowledge of risk management principles and regulatory compliance requirements related to AI. That helps them ensure that AI initiatives adhere to legal and ethical standards.

Risk Management 138

Risk Management Cost-Benefit Risk Technology 138

DataRobot Blog

APRIL 29, 2022

The stakes in managing model risk are at an all-time high, but luckily automated machine learning provides an effective way to reduce these risks. However, after the financial crisis, financial regulators around the world stepped up to the challenge of reigning in model risk across the financial industry.

Risk 111

Risk Modeling IT Risk Management 111

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. Risk management: identifying major risk areas with an aim of prevention (reducing the odds) or mitigation (reducing the damage).

Risk 118

Risk Risk Management Statistics Management 118

Smart Data Collective

MAY 8, 2022

From the statistics shown, this means that both AI and big data have the potential to affect how we work in the workplace. Query approximation systems use statistical data sampling to predict the outcome of a query without running one. Bg data has been very responsive in responding to risk management by providing new solutions.

Big Data 122

Big Data Data Analytics Analytics Cost-Benefit 122

CIO Business Intelligence

SEPTEMBER 13, 2024

billion by 2030, according to statistics portal Statista, by virtue of the healthcare industry being under increasing attack. The global healthcare cybersecurity market is set to reach $58.4 We didn’t have the same level of rigor and diligence with these biomed devices as we did with the computers that connect to our network.

Risk 128

Risk IT IoT Statistics 128

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

OCTOBER 4, 2023

Some certifications in project management , governance, and architecture also attract big bonuses, with CGEIT (Certified in the Governance of Enterprise IT) pulling in a 14% pay premium, up 27% over the last six months, and TOGAF 9 Certified (The Open Group’s Enterprise Architecture Framework certification) attracting a 12%premium, up 9%.

Prescriptive Analytics 135

Prescriptive Analytics IT Machine Learning Deep Learning 135

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

CDW Research Hub

JUNE 5, 2019

Varonis compiled 60 cybersecurity statistics to give you a better idea of the current cybersecurity state, and we’ve broken out five key facts to help you rethink your data security program. Check out Varonis’ full list of 60 Must-Know Cybersecurity Statistics for 2019. Show Me the Money.

Statistics 72

Statistics Risk Management Finance Risk 72

CIO Business Intelligence

APRIL 18, 2022

If a payment system or a key database interfaces with multiple vendor platforms, leaders need to know what all the dependencies are and what needs to be done to manage an outage. SLAs will need to be updated as risk management plans change. . Speaking of SLAs: They need to be managed closely in multivendor environments.

Management 128

Management IT Data-driven Risk 128

erwin

APRIL 29, 2020

The CEO also makes decisions based on performance and growth statistics. For example, capital markets trading firms must understand their data’s origins and history to support risk management, data governance and reporting for various regulations such as BCBS 239 and MiFID II.

Metadata 111

Metadata Key Performance Indicator Data Governance Data Quality 111

IBM Big Data Hub

FEBRUARY 13, 2024

Generative AI uses advanced machine learning algorithms and techniques to analyze patterns and build statistical models. Each output is unique yet statistically tethered to the data the model learned from. Imagine each data point as a glowing orb placed on a vast, multi-dimensional landscape.

Enterprise 118

Enterprise Testing Modeling Data-driven 118

Smart Data Collective

SEPTEMBER 21, 2022

As far as Data Analysis is concerned, potential employees should have an extensive knowledge of quantitative research, quantitative reporting, compiling statistics, statistical analysis, data mining, and big data. The old adage that you can build a better mousetrap and the world will beat a path to your door doesn’t hold up.

Statistics 103

Statistics Data mining Marketing Software 103

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

CIO Business Intelligence

SEPTEMBER 30, 2024

CIO.com / Foundry They also cited AI/ML capabilities in specific areas — such as risk management, fraud detection, smart manufacturing, predictive maintenance, quality control, and personalized employee engagement — as fueling transformation.

Machine Learning 141

Machine Learning ROI Data Processing Optimization 141

Smart Data Collective

MAY 25, 2023

Recent statistics indicate that 43% of cyberattacks target small businesses, and 60% of the attacked enterprises go out of business in six months. Fortunately, new technology and training processes can help fight data breaches. If you think that a data breach won’t be a big deal for your business, then you have been misinformed.

Internet of Things 111

Internet of Things Cost-Benefit Risk Software 111

CIO Business Intelligence

OCTOBER 13, 2023

It’s a role that requires experience with natural language processing , coding languages, statistical models, and large language and generative AI models. According to the survey, 28% of respondents said they have hired data scientists to support generative AI, while 30% said they have plans to hire candidates.

Deep Learning 143

Deep Learning Machine Learning Modeling Software 143

Smart Data Collective

SEPTEMBER 25, 2019

Statistics show that poor data quality is a primary reason why 40% of all business initiatives fail to achieve their targeted benefits. Ponder the statistics and points of focus here as you plan how to proceed. If you trust the data, it’s easier to use confidently to make business decisions. Time to Take Action.

Technology 102

Technology Statistics Strategy Insurance 102

IBM Big Data Hub

DECEMBER 8, 2023

An organization is always changing and so are business needs; therefore, it’s important that an organization has strong metrics for tracking over time each risk, its category and the corresponding mitigation strategy.

Risk 67

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.” Secure sponsorship.

Cost-Benefit 120

Cost-Benefit Technology Unstructured Data Testing 120

CIO Business Intelligence

JANUARY 26, 2023

Tracking costs is just one small part of a system that is constantly gathering statistics and watching for anomalies. Many of the tools are customer-facing solutions like IT automation, but there are also more backend tools for optimizing IT operations by intelligently managing performance.

Management 116

Management Forecasting Dashboards Optimization 116

FineReport

MARCH 24, 2024

Data analysts contribute value to organizations by uncovering trends, patterns, and insights through data gathering, cleaning, and statistical analysis. They identify and interpret trends in complex datasets, optimize statistical results, and maintain databases while devising new data collection processes.

Statistics 52

Statistics Data mining Visualization Reporting 52

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. Conclusion.

Risk 52

Risk Modeling Metrics Business Objectives 52

IBM Big Data Hub

NOVEMBER 28, 2022

Rather than responding to each challenge individually, a proactive approach to data privacy, protection and risk management is an opportunity for organizations to build customer trust. 3 benefits of an active metadata management solution. This complements IBM’s acquisition of Databand.ai Protect your data.

Metadata 56

Metadata Data Quality Data-driven Data Governance 56

IBM Big Data Hub

DECEMBER 4, 2023

Risk management To make underwriting decisions related to property, insurance companies gather a significant amount of external data, including the property data provided in insurance application forms, historical records of floods, hurricanes, fire incidents and crime statistics for the specific location of the property.

Insurance 53

Insurance Digital Transformation Risk Management Interactive 53

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

Ontotext

SEPTEMBER 1, 2023

LLMs in particular have remarkable capabilities to comprehend and generate human-like text by learning intricate patterns from vast volumes of training data; however, under the hood, they are just statistical approximations. Leaders need to balance the adoption of generative AI with the risks involved, but it is a true joint effort.

Risk 52

Risk Modeling Data Quality Data Governance 52

Andrew White

JANUARY 11, 2021

Value Management or monetization. Risk Management (most likely within context of governance). Product Management. But we are seeing increasing data suggesting that broad and bland data literacy programs, for example statistics certifying all employees of a firm, do not actually lead to the desired change.

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 358

Risk Management Risk Testing Measurement 358

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

Domino Data Lab

AUGUST 10, 2021

Some popular tool libraries and frameworks are: Scikit-Learn: used for machine learning and statistical modeling techniques including classification, regression, clustering and dimensionality reduction and predictive data analysis. This is useful for grouping unstructured data based on statistical properties.

Modeling 64

Modeling IT Deep Learning Risk Management 64

CIO Business Intelligence

JULY 24, 2024

It’s just math and statistics.” AI doesn’t have a point of view or discriminatory intent, adds Dave Prakash, head of AI governance at Booz Allen Hamilton. It’s just an equation,” he says. But even with the best of intentions, an AI can produce some unfortunate results.

Risk 130

Risk Insurance Modeling Manufacturing 130

Corinium

APRIL 25, 2019

For example auto insurance companies offering to capture real-time driving statistics from policy-holders’ cars to encourage and reward safe driving. And it’s become a hyper-competitive business, so enhancing customer service through data is critical for maintaining customer loyalty.

Insurance 150

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