Jet Global

JUNE 5, 2020

What Is an Insurance KPI? An insurance Key Performance Indicator (KPI) or metric is a measure that an insurance company uses to monitor its performance and efficiency. Insurance metrics can help a company identify areas of operational success, and areas that require more attention to make them successful. View Guide Now.

Insurance 59

Insurance Metrics Reporting KPI 59

CIO Business Intelligence

APRIL 29, 2022

Preparing for an artificial intelligence (AI)-fueled future, one where we can enjoy the clear benefits the technology brings while also the mitigating risks, requires more than one article. This first article emphasizes data as the ‘foundation-stone’ of AI-based initiatives. Establishing a Data Foundation. era is upon us.

Data Governance 145

Data Governance IT Risk Data Lake 145

CIO Business Intelligence

JUNE 22, 2022

AssuredPartners is a full-service insurance broker providing commercial insurance, risk management, and employee benefits. The company, which has more than 8,500 employees, plans to continue growing by acquisition, and consolidating the global insurance market. How is data collected and used in the organization?

IT 105

IT Insurance Cost-Benefit Risk Management 105

CIO Business Intelligence

SEPTEMBER 30, 2024

-based research firm is proud of its mission to deliver accurate data to ensure goods and services are distributed with equity and precision in a socially just manner.

Data Quality 116

Data Quality Experimentation Insurance Statistics 116

CIO Business Intelligence

MAY 16, 2023

The industries these decision-makers represented include insurance, banking, healthcare and life sciences, government, entertainment, and energy in the U.S. Big Data collection at scale is increasing across industries, presenting opportunities for companies to develop AI models and leverage insights from that data.

Advertising 105

Advertising Recreation/Entertainment Experimentation Data Collection 105

IBM Big Data Hub

MAY 28, 2024

Data breach victims also frequently face steep regulatory fines or legal penalties. Government regulations, such as the General Data Protection Regulation (GDPR), and industry regulations, such as the Health Insurance Portability and Accounting Act (HIPAA), oblige companies to protect their customers’ personal data.

Strategy 81

Strategy Measurement Risk Cost-Benefit 81

CIO Business Intelligence

SEPTEMBER 18, 2024

Your laptop breaks down, you miss a flight, or you need to call an insurance company. We can scan unusual transactional activity and identify patterns and instances deemed to be high-risk so the bank can investigate and take action,” says Luiz Pizzato, AI Labs Centre of Excellence lead at CBA. We’ve all been there.

Interactive 128

Interactive Cost-Benefit Measurement Testing 128

IBM Big Data Hub

APRIL 24, 2024

Deploying privacy protections: The app uses encryption to protect data from cybercriminals and other prying eyes. Even if the data is stolen in a cyberattack , hackers can’t use it. These access controls reduce the chances that the data is used for unauthorized or illegal purposes.

Risk 78

Risk Measurement Data Governance Insurance 78

Jet Global

APRIL 21, 2022

Finance leaders require greater visibility into financial processes to ensure effective planning and risk mitigation. Legerity gives organizations the ability to automate processes and eliminate labor intensive data collection and report development.

Finance 72

Finance Insurance Reporting Risk 72

IBM Big Data Hub

SEPTEMBER 28, 2023

This process is designed to help mitigate risks so that model outputs can be deployed responsibly with the assistance of watsonx.data and watsonx.governance (coming soon). Building transparency into IBM-developed AI models To date, many available AI models lack information about data provenance, testing and safety or performance parameters.

Testing 87

Testing Finance Enterprise Modeling 87

Cloudera

SEPTEMBER 4, 2020

In Europe, one of the leading CSPs is using the platform to bring in data from black boxes in connected cars to improve road safety, for assistance, for monitoring and they’re even using data from connected devices to provide targeted insurance offerings based on specific risks of individual drivers.

IoT 93

IoT Machine Learning Optimization Insurance 93

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

Occam's Razor

MARCH 30, 2017

All this data, across tens of millions of identified signals to deliver a deeply unique message to humans that mattered the most – at scale. We are needed today because data collection is hard. Most humans employed by companies were unable to access data – not intelligent enough or trained enough or simply time pressures.

Marketing Analytics 166

Marketing Analytics Marketing Analytics Deep Learning 166

CIO Business Intelligence

AUGUST 15, 2023

A risk-limiting audit (RLA) is one audit type used for election verification. The Behavioral Health Acuity Risk (BHAR) model leverages a machine learning technique called random forests, which can be natively hosted in the electronic health record and updated in near-real time, with results immediately available to clinical staff.

IT 98

IT Manufacturing IoT Cost-Benefit 98

Alation

FEBRUARY 20, 2020

For example, a risk insurance company that has sensitive customer information and transactional data, can store that information in an on-premise system. The cloud could then be leveraged for burst out scenarios, such as processing and adjusting risk policies around a real-time event (e.g.

Data Lake 52

Data Lake ROI Metadata Cost-Benefit 52

CIO Business Intelligence

FEBRUARY 3, 2023

The ability to suck words and numbers from images are a big help for document-heavy businesses such as insurance or banking. Tara , for instance, is a “top OFAC / AML expert who is laser-focused on keeping your transactions risk-free.” Check out Puppeteer , Selenium , and Headless Firefox for a basic start.

Data-driven 145

Data-driven Interactive Enterprise Statistics 145

AWS Big Data

FEBRUARY 21, 2023

Loading complex multi-point datasets into a dimensional model, identifying issues, and validating data integrity of the aggregated and merged data points are the biggest challenges that clinical quality management systems face. Additionally, scalability of the dimensional model is complex and poses a high risk of data integrity issues.

Data Warehouse 71

Data Warehouse Data Lake Cost-Benefit Metadata 71

Alation

AUGUST 26, 2021

Data intelligence first emerged to support search & discovery, largely in service of analyst productivity. For years, analysts in enterprises had struggled to find the data they needed to build reports. This problem was only exacerbated by explosive growth in data collection and volume. Cloud Data Migration.

Metadata 64

Metadata Data Governance Dashboards Software 64

Smart Data Collective

JUNE 29, 2021

One of the industries most affected by data technology has been the insurance sector. In order to appreciate the role of big data in insurance, it is necessary to look at its historical context. Insurance may sound like a boring business, but in reality, it is the most interesting part of the economy.

Insurance 133

Insurance Modeling Big Data IT 133

O'Reilly on Data

OCTOBER 22, 2020

banking, insurance, etc.), The safest course of action is also the slowest and most expensive: obtain your training data as part of a collection strategy that includes efforts to obtain the correct representative sample under an explicit license for use as training data. I found this can be a difficult question to ask.

Consulting 362

Consulting Risk Cost-Benefit Modeling 362

Smart Data Collective

OCTOBER 31, 2022

As the Internet of Things becomes increasingly instrumental in the workplace, company and consumer data risk grow. It’s no secret that hackers have discovered and implemented complex methods to access crucial data from businesses of all sizes across all industries, including the federal government. Diversified Training.

Internet of Things 130

Internet of Things IoT Risk Insurance 130

CIO Business Intelligence

MARCH 4, 2025

As a business executive who has led ventures in areas such as space technology or data security and helped bridge research and industry, Ive seen first-hand how rapidly deep tech is moving from the lab into the heart of business strategy. The takeaway is clear: embrace deep tech now, or risk being left behind by those who do.

Technology 118

Technology ROI Cost-Benefit Manufacturing 118

IBM Big Data Hub

FEBRUARY 14, 2024

They can streamline workflows to increase efficiency and reduce time-consuming tasks and the risk of error in production, support, procurement and other areas. Many stock market transactions use ML with decades of stock market data to forecast trends and ultimately suggest whether and when to buy or sell.

Cost-Benefit 82

Cost-Benefit Insurance Machine Learning Unstructured Data 82

Occam's Razor

OCTOBER 15, 2012

The cost of failure in the offline world is so high that even when the cost of failure is low (online), they don't want to take the smallest risk. The data was collected in the first part of 2012, between January and May for the Barometer and between January and February for the Enumeration.

Advertising 137

Advertising Marketing Strategy Insurance 137

Domino Data Lab

AUGUST 1, 2021

For this demo we’ll use the freely available Statlog (German Credit Data) Data Set, which can be downloaded from Kaggle. This dataset classifies customers based on a set of attributes into two credit risk groups – good or bad. 1 570 0 570 Name: credit, dtype: int64. nn_importances.tail(25).plot.barh(figsize=(10,12));

Modeling 139

Modeling Deep Learning Machine Learning Knowledge Discovery 139

Domino Data Lab

JULY 22, 2019

You know, companies like telecom and insurance, they don’t really need machine learning.” If you were out five years ago talking in industry about the importance of graphs and graph algorithms and representation of graph data, because most business data ultimately is some form of graph. ” But that changed.

Data Science 109

Data Science Machine Learning Data Governance Modeling 109

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. As the article explains, data science is set apart from other business functions by two fundamental aspects: Relatively low costs for exploration.

Data Science 66

Data Science Experimentation Machine Learning Data-driven 66

Jet Global

JUNE 30, 2021

As such, it can be concluded that the higher the ratio, the higher the risk to shareholders. As a rule of thumb, investors should consider anything less than 10 percent as a poor rate of return: for comparison, the S&P 500 long-term average return is 14 percent, and likely has less associated risk. Create a company culture.

Metrics 106

Metrics KPI Dashboards Advertising 106

Jet Global

NOVEMBER 15, 2021

For an organization to be successful in their tax function, they need to evaluate the performance of their tax function using a variety of KPIs and metrics, ranging from traditional KPIs such as effective tax rate, filing timelines, financial risk management, etc.; KPIs for Tax Departments – Tax Risk. Download Now.

Metrics 52

Metrics Reporting KPI Risk Management 52

Jet Global

MARCH 4, 2024

The CSRD is a phased directive that requires all large companies and listed companies in the EU to disclose information on their environmental, social, and governance (ESG) performance, risks, and impacts. What is the best way to collect the data required for CSRD disclosure? Reports due in 2025.

Reporting 52

Reporting Management Cost-Benefit Publishing 52

CIO Business Intelligence

FEBRUARY 13, 2025

Without robust security and governance frameworks, unsecured AI systems can erode stakeholder trust, disrupt operations and expose businesses to compliance and reputational risks. The risks of unsecured AI Unlike traditional IT systems, AI is uniquely susceptible to novel attack vectors such as: Adversarial attacks. Holistic approach.

Risk 116

Risk Data-driven Finance Risk Management 116

CIO Business Intelligence

FEBRUARY 5, 2025

Lucidworks study of gen AI investment says that in 2024, business leaders are slowing down spending to balance the benefits, costs, and risks of this relatively new technology. When everyone is aligned, you minimize risks and potential delays, and set the stage for success with the project, Willson says.

Cost-Benefit 117

Cost-Benefit ROI Metrics Measurement 117