O'Reilly on Data

DECEMBER 12, 2019

1] This includes C-suite executives, front-line data scientists, and risk, legal, and compliance personnel. These recommendations are based on our experience, both as a data scientist and as a lawyer, focused on managing the risks of deploying ML. 4] Fairwashing: The Risk of Rationalization , How Can We Fool LIME and SHAP?

Machine Learning 281

Machine Learning Modeling Testing Risk Management 281

DataRobot Blog

DECEMBER 6, 2022

Bureau of Labor Statistics predicts that the employment of data scientists will grow 36 percent by 2031, 1 much faster than the average for all occupations. Taking a Multi-Tiered Approach to Model Risk Management. Bureau of Labor Statistics. Data scientists are in demand: the U.S. Read the blog. See DataRobot in Action.

Experimentation 145

Experimentation Forecasting Data-driven Machine Learning 145

IBM Big Data Hub

DECEMBER 8, 2023

.” This same sentiment can be true when it comes to a successful risk mitigation plan. The only way for effective risk reduction is for an organization to use a step-by-step risk mitigation strategy to sort and manage risk, ensuring the organization has a business continuity plan in place for unexpected events.

Risk 67

Risk Strategy Risk Management Insurance 67

CIO Business Intelligence

JUNE 25, 2024

Charles Dickens’ Tale of Two Cities contrasts London’s order and safety with the chaos and risk of Paris. 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. And therein lies a cautionary tale for all CIOs.

Risk 118

Risk Risk Management Statistics Management 118

CIO Business Intelligence

MAY 9, 2024

Companies want candidates who can drive innovation, deliver meaningful business results, and work closely with other leaders to manage risks. And they must develop and upskill talent to ensure the workforce is well-versed in the innovation and risk associated with AI use.

Risk Management 138

Risk Management Cost-Benefit Risk Technology 138

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 Reporting 84

datapine

MARCH 31, 2022

According to the US Bureau of Labor Statistics, demand for qualified business intelligence analysts and managers is expected to soar to 14% by 2026, with the overall need for data professionals to climb to 28% by the same year. This beats projections for almost all other occupations. BI engineer. BI Data Scientist.

Business Intelligence 239

Business Intelligence Statistics Visualization Data-driven 239

Smart Data Collective

JULY 16, 2023

The Imperative of Risk Mitigation A crucial element in the world of financial investments is effective hedge fund management. Optimizing hedge fund performance requires the implementation of intelligent strategies, from managing risks to maximizing returns, improving investor relations, and adapting to shifting market conditions.

ROI 97

ROI Data Analytics Analytics Risk Management 97

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. Identifying risks. Query Approximation systems and data summaries.

Big Data 122

Big Data Data Analytics Analytics Cost-Benefit 122

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

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

CIO Business Intelligence

APRIL 18, 2022

Where are your biggest downtime risks? Risk tolerance is, after all, a mission-critical piece of knowledge that can save the business. 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.

Management 128

Management IT Data-driven Risk 128

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. With a cybersecurity plan, businesses understand risks well and can enable proactive protection while ensuring prompt responses to cyberattacks. Additionally, cybercrime costs SMEs over $2.2

Internet of Things 111

Internet of Things Cost-Benefit Risk Software 111

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. Data Governance.

Key Performance Indicator 111

Key Performance Indicator Metadata Data Governance Data Quality 111

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. clocking in 126, according to Global Finance.

Statistics 72

Statistics Risk Management Finance Risk 72

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. Project management and operations : Generative AI tools can support project managers with automation within their platforms.

Enterprise 118

Enterprise Testing Modeling Data-driven 118

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

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

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

SEPTEMBER 25, 2019

However, according to a 2018 North American report published by Shred-It, the majority of business leaders believe data breach risks are higher when people work remotely. Statistics show that poor data quality is a primary reason why 40% of all business initiatives fail to achieve their targeted benefits. Time to Take Action.

Technology 102

Technology Statistics Strategy Insurance 102

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

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

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 119

Cost-Benefit Technology Unstructured Data Testing 119

BizAcuity

APRIL 1, 2023

Anti-Money Laundering (AML) is increasingly becoming a crucial branch of risk management and fraud prevention. In fact, online casinos as an industry carries the biggest risk of money laundering. Predictive Analytics can help businesses in reducing risk (eg.

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. In fact, online casinos as an industry carries the biggest risk of money laundering. Predictive Analytics can help businesses in reducing risk (eg. Predictive Analytics.

Machine Learning 52

Machine Learning Predictive Analytics Predictive Modeling Risk 52

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

IBM Big Data Hub

NOVEMBER 28, 2022

The risks of non-compliance – legal penalties, loss of reputation and customer trust – are too big to be ignored. 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. Regulatory and compliance.

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

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

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. KGs help identify sensitive information, compliance errors, and ethical violations which minimizes associated risks.

Risk 52

Risk Modeling Data Quality Data Governance 52

Andrew White

JANUARY 11, 2021

Some data is more a risk than valuable. Value Management or monetization. Risk Management (most likely within context of governance). Product Management. See: Use Infonomics to Quantify Data Monetization Risks and Establish a Data Security Budget. Would really like to explore this one in debate. Governance.

Data Analytics 52

Data Analytics Analytics Data-driven Finance 52

O'Reilly on Data

OCTOBER 18, 2022

When we use AI in security applications, the risks become even more direct. 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. Data can be wrong. Predictions can be wrong. System designs can be wrong.

Risk Management 362

Risk Management Risk Testing Measurement 362

O'Reilly on Data

MAY 18, 2020

This article answers these questions, based on our combined experience as both a lawyer and a data scientist responding to cybersecurity incidents, crafting legal frameworks to manage the risks of AI, and building sophisticated interpretable models to mitigate risk. First and foremost is the tendency for AI to decay over time.

Risk 364

Risk Modeling Data Processing Software 364

CIO Business Intelligence

JULY 24, 2024

When I teach MBA students, we’re more worried about the risks of AI in the here and now.” But there are some steps CIOs can take to help protect their companies, including identifying alignment risks, continuously monitoring model outputs, putting guardrails in place, and building model-agnostic infrastructures.

Risk 130

Risk Insurance Modeling Manufacturing 130

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. Now, there is a data risk here.

Insurance 150

Insurance Risk IoT Data-driven 150

Insight

FEBRUARY 19, 2020

Using variability in machine learning predictions as a proxy for risk can help studio executives and producers decide whether or not to green light a film project Photo by Kyle Smith on Unsplash Originally posted on Toward Data Science. and even set their risk tolerance. and even set their risk tolerance.

Risk 67

Risk ROI Modeling Metrics 67

Domino Data Lab

AUGUST 10, 2021

Models can predict things before they happen more accurately than humans, such as catastrophic weather events or who is at risk of imminent death in a hospital. This is useful for grouping unstructured data based on statistical properties. Managing Model Risk. This comes down to model risk management.

Modeling 64

Modeling IT Deep Learning Risk Management 64