Precisely

FEBRUARY 8, 2024

Address data: for many businesses, it falls into one of two categories – a valuable asset, or a major (and costly) headache. What makes address data so challenging for those that fall into the latter category? Let’s say you’re an insurer that needs to lower overall policy risk. The solution is geo addressing value.

Big Data Analytics 59

Big Data Analytics Big Data Analytics Analytics Analytics 59

Precisely

FEBRUARY 8, 2024

Address data: for many businesses, it falls into one of two categories – a valuable asset, or a major (and costly) headache. What makes address data so challenging for those that fall into the latter category? Let’s say you’re an insurer that needs to lower overall policy risk. The solution is geo addressing value.

Big Data Analytics 52

Big Data Analytics Big Data Analytics Analytics Analytics 52

Smart Data Collective

MAY 10, 2022

You can train a machine learning model for fraud detection by feeding it with many transactions and assigning them to “fraud” or “non-fraud” categories. Insurance entails protection against risks no matter how low the probability of them occurring. Insurance providers also use AI to automate claims collection.

Artificial Intelligence 110

Artificial Intelligence Artificial Intelligence AI AI 110

Smart Data Collective

FEBRUARY 12, 2021

Relationships – Finally, create a list of your spouse, children, and other beneficiaries named in your insurance, as well as those you plan to add at some point. Although you might feel it’s impossible to achieve some of the things you list in this category, it’s not. If this is what you see, don’t panic. Help with Gathering Your Data.

Big Data 90

Big Data Big Data Analytics Analytics 90

Smart Data Collective

MARCH 3, 2021

Law companies can use analytics to learn more about certain categories of cases and predict outcomes. . When the companies have data on the category of cases that usually win, they focus on these, refusing the ones that are tough gold. Analytics can help them predict payouts. Law firms decide which cases they take on a daily basis.

Analytics 128

Analytics Analytics Big Data Big Data 128

Towards AI

APRIL 7, 2024

Gilead Sciences provided a rich, real-world dataset that contains information about demographics, diagnosis and treatment options, and insurance provided to patients who were diagnosed with breast cancer from 2015–2018. You can find the application here and follow through with the discussion.

Machine Learning 115

Machine Learning Machine Learning Exploratory Data Analysis EDA 115

IBM Journey to AI blog

FEBRUARY 15, 2024

The impacts of climate change may be organized into three categories: Intensifying extreme weather events Changes to natural ecosystems Harm to human health and well-being Extreme weather events While climate change is defined as a shift in long-term weather patterns, its impacts include an increase in the severity of short-term weather events.

Artificial Intelligence 67

Artificial Intelligence Artificial Intelligence 67

Alation

MAY 12, 2023

To quote TrustRadius, “Top Rated awards help distinguish products in a category that have excellent customer satisfaction ratings.” But you don’t need to take our word for why we are Top Rated in four categories — our customers are spreading the word! Data Catalog It should come as no surprise that Alation wins in this category.

Data Governance 52

Data Governance Tableau Power BI Business Intelligence 52

Smart Data Collective

JANUARY 26, 2022

In general, data in the legal sectors fall into three categories: Individual data Internal law firm data Legal industry data. Improved Insurance Claim Processing. That’s a great challenger for insurance agencies. Data visualization methods, such as graphs and charts, reveal trends and insights in an instant.

Analytics 73

Analytics Analytics Predictive Analytics Big Data 73

IBM Journey to AI blog

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. An example of this is obtaining an insurance policy to cover property damage or personal injury.

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Precisely

NOVEMBER 20, 2023

Read Here are some of the categories of enriched data that Precisely offers: Address and property data , including highly granular information on specific properties, verified and constantly updated with the latest details. Insurance companies, for example, use data enrichment with location-based information to assess risk accurately.

AI 121

AI AI Clean Data Predictive Analytics 121

AWS Machine Learning Blog

FEBRUARY 8, 2024

This post highlights how you can use Agents and Knowledge Bases for Amazon Bedrock to build on existing enterprise resources to automate the tasks associated with the insurance claim lifecycle, efficiently scale and improve customer service, and enhance decision support through improved knowledge management. Which claims have open status?

AWS 123

AWS AI AI Python 123

Smart Data Collective

MAY 27, 2021

There are now many superb electric vehicles available in different categories, but those looking for luxury and the most advanced tech will be paying close attention to what Mercedes will bring to the table and they have been working on some mind-blowing luxury vehicles. How Will Mercedes Fair?

Analytics 123

Analytics Analytics Big Data Big Data 123

Alation

MAY 12, 2023

To quote TrustRadius, “Top Rated awards help distinguish products in a category that have excellent customer satisfaction ratings.” But you don’t need to take our word for why we are Top Rated in four categories — our customers are spreading the word! Data Catalog It should come as no surprise that Alation wins in this category.

Data Governance 40

Data Governance Tableau Power BI Business Intelligence 40

IBM Journey to AI blog

APRIL 10, 2024

My organization is able to develop solutions and capabilities faster.” ” Cost efficiency from the container-based approach, financial organization: “ The main advantage we found is greater infrastructure efficiency by moving the workloads to Liberty.

ML 99

ML ML AI AI 99

AWS Machine Learning Blog

DECEMBER 5, 2023

Insurance companies are burdened with increasing numbers of claims that they must process. Additionally, the complexity of claims processing is also increasing due to the diverse types of insurance documents involved, and custom entities in each of these documents. You could also create facets to display results by a specific author.

AWS 101

AWS ML ML Natural Language Processing 101

Pickl AI

NOVEMBER 17, 2023

Here are real-world examples showcasing how Roll Rate Analysis is applied in Data Science: Credit Risk Modeling In credit risk modeling, Data Scientists leverage Roll Rate Analysis to assess the transition of borrowers between different risk categories.

Data Science 52

Data Science Data Scientist Industrial Data Scientist Python 52

Precisely

MARCH 15, 2024

In the restaurant industry, for example, competitors might be defined by category (e.g. Insurance companies, for example, use it to assess risk, prevent fraud, and improve service levels. This is especially true where the number and type of competitors may vary widely. fast food, family dining), by company (e.g.

Analytics 64

Analytics Analytics 64

phData

MAY 2, 2024

Ranging from comprehensive platform auditing to real-time monitoring and alerting, the Toolkit in combination with our team of experts leads the industry in FinOps for the modern data platform.

Cloud Data 52

Cloud Data Data Governance 52

Alation

FEBRUARY 13, 2020

And, leading analysts at 451 Research , Constellation , Dresner Advisory Services , Forrester, and GigaOm have all noted the growing importance of data catalogs and recognized Alation as a leader in the data cataloging category. But what is the value of the Alation Data Catalog in dollars and cents (or euros or yen)?

Data Lakes 52

Data Lakes Data Analyst Analytics Analytics 52

AWS Machine Learning Blog

AUGUST 3, 2023

In addition to existing capabilities, businesses need to summarize specific categories of information, including debit and credit data from documents such as financial reports and bank statements. FMs are transforming the way you can solve traditionally complex document processing workloads.

AWS 75

AWS AI AI ML 75

Smart Data Collective

MARCH 23, 2022

Spotting fraud insurance: data mining can be used to identify lost money from fraudulent activities and develops a set of rules to help identify fraudulent claims in the future. Database information is gathered through surveys most effectively, and you target your audience upon their categories.

Data Mining 121

Data Mining Data Mining Data Mining Database 121

Dataconomy

APRIL 18, 2023

Machine learning techniques can be broadly classified into three categories: supervised learning, unsupervised learning, and reinforcement learning. AI algorithms can be classified into two broad categories: symbolic or rule-based algorithms and numerical or statistical algorithms.

Artificial Intelligence 113

Artificial Intelligence Artificial Intelligence Machine Learning Machine Learning 113

Dataconomy

AUGUST 31, 2023

Natural Language Processing (NLP) : Classification can be applied to text data to categorize messages, emails, or social media posts into different categories, such as spam vs. non-spam, positive vs. negative sentiment, or topic classification.

Machine Learning 136

Machine Learning Machine Learning Supervised Learning Algorithm 136

Dataconomy

JUNE 5, 2023

The task involves assigning input data points to predefined classes or categories based on their features. Regression in machine learning predicts continuous numerical values, whereas classification assigns data points to discrete classes or categories. If the desired outcome is a continuous value, regression is suitable.

Machine Learning 250

Machine Learning Machine Learning Predictive Analytics Algorithm 250

Pickl AI

AUGUST 29, 2023

It models the relationship between the predictor variables and the log-odds of the response variable being in a particular category. Risk Assessment: Financial institutions and insurance companies use statistical models to assess risks and predict market fluctuations.

Data Scientist 52

Data Scientist Clustering Data Analysis Data Analysis 52

AWS Machine Learning Blog

SEPTEMBER 14, 2023

Storing responses and returning it to the user: The response from the LLM is stored in Amazon DynamoDB along with the user’s query, the timestamp, a unique identifier, and other arbitrary identifiers for the item such as question category. Specific use case: Reduce the errors and time needed to fill out and send insurance forms.

AWS 97

AWS AI AI Data Silos 97

Tableau

APRIL 22, 2021

The racial health disparities evident in COVID-19, they added, stem from similar disparities in underlying health issues like asthma and diabetes, and are exacerbated by differences in insurance and access to care, which according to their data is typically lower in communities of color. .

Tableau 98

Tableau 98

Smart Data Collective

DECEMBER 5, 2019

Today, airlines differentiate themselves from each other in three basic categories: Scheduling. They offer cheap prices for flight and focus on selling additional bags, meals, complete trip packages, and flight insurance as a way of making money. Machine learning is making airline revenue management easier than ever. Pricing/Ancillary.

Machine Learning 65

Machine Learning Machine Learning Predictive Analytics AI 65

Dataconomy

MARCH 27, 2023

Insurance:  RPA is being used to automate tasks such as claims processing, underwriting, and policy administration. It can be used to identify patterns and anomalies in large datasets, classify data into categories, and make predictions based on historical data.

ML 133

ML ML Machine Learning Machine Learning 133

AWS Machine Learning Blog

MAY 9, 2024

Verisk (Nasdaq: VRSK) is a leading data analytics and technology partner for the global insurance industry. Verisk is using generative artificial intelligence (AI) to enhance operational efficiencies and profitability for insurance clients while adhering to its ethical AI principles.

AI 106

AI AI AWS Data Governance 106

Tableau

APRIL 22, 2021

The racial health disparities evident in COVID-19, they added, stem from similar disparities in underlying health issues like asthma and diabetes, and are exacerbated by differences in insurance and access to care, which according to their data is typically lower in communities of color. .

Tableau 52

Tableau 52

Dataconomy

MARCH 27, 2023

Insurance:  RPA is being used to automate tasks such as claims processing, underwriting, and policy administration. It can be used to identify patterns and anomalies in large datasets, classify data into categories, and make predictions based on historical data.

ML 70

ML ML Machine Learning Machine Learning 70

Smart Data Collective

MAY 11, 2023

Big Data is used more in property and casualty insurance than in other areas of actuarial practice. Health and life insurance have seen significant advances in Big Data use in recent years. The American Association of Actuaries reports that big data can also help with actuarial decision making.

Data Mining 99

Data Mining Data Mining Data Mining Big Data 99

Hacker News

JANUARY 26, 2024

Born and raised in Scottsboro, Owens had served in the Korean War and returned to his hometown to sell insurance. His boss eventually gave him an ultimatum: Sell insurance, or sell baggage. Resellable items are appraised for price and authenticated by category experts. At 39, he was restless and looking for his next adventure.

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IBM Journey to AI blog

SEPTEMBER 14, 2023

insurance, banking, healthcare, etc.)—to insurance underwriting, claims processing, payment processing, fraud detection, medical data processing, etc.) Broadly, the categories include the following: Application data exchange: Client/server communication between application components across clouds (e.g.,

Cloud Data 79

Cloud Data Analytics Analytics AI 79

AWS Machine Learning Blog

SEPTEMBER 1, 2023

Compared to classic ML and MLOps, FMOps and LLMOps defer based on four main categories that we cover in the following sections: people and process, selection and adaptation of FM, evaluation and monitoring of FM, data privacy and model deployment, and technology needs. In his spare time, Heiko travels as much as possible.

AI 106

AI AI ML ML 106