Precisely

DECEMBER 12, 2024

The Importance of Mainframe Data in the AI Landscape For decades, mainframes have been the backbone of enterprise IT systems, especially in industries such as banking, insurance, healthcare, and government. Contextual Insights Historical data from mainframes provides context that is often missing in newer datasets.

Healthcare 64

Healthcare Algorithm Finance Data Integration 64

Precisely

NOVEMBER 18, 2024

Yoğurtçu identifies three critical steps that you should take to prepare your data for AI initiatives: Identify all critical and relevant datasets , ensuring that those used for AI training and inference are accounted for. And of course, getting your data up to the task is the other critical piece of the AI readiness puzzle.

Data Analytics 72

Data Analytics Data Governance Data Integration Government 72

Precisely

DECEMBER 16, 2024

IBM systems contain, for example, rich datasets critical to operational, security, and compliance requirements. For example: HIPAA (Health Insurance Portability and Accountability Act) NIST (National Institute of Standards and Technology) PCI DSS (Payment Card Industry Data Security Standard) 3.

Systems 59

Systems IT Machine Learning Insurance 59

Cloudera

DECEMBER 11, 2020

Insurance and finance are two industries that rely on measuring risk with historical data models. Insurance . In “ Re-thinking The Insurance Industry In Real-Time To Cope With Pandemic-scale Disruption,” Monique Hesseling describes how COVID-19 is transforming the insurance industry. Data Variety.

Insurance 95

Insurance Unstructured Data Finance Machine Learning 95

AltexSoft

OCTOBER 18, 2022

In this post, we’ll briefly discuss challenges you face when working with medical data and make an overview of publucly available healthcare datasets, along with practical tasks they help solve. At the same time, de-identification only encrypts personal details and hides them in separate datasets. Medical datasets comparison chart .

Medical 52

Medical Datasets Machine Learning Hospitality 52

Precisely

MARCH 7, 2024

Insurance industry leaders are just beginning to understand the value that generative AI can bring to the claims management process. As insurers begin to integrate these advanced technologies into their operations, the entire landscape of claims management is being reshaped, leading to faster, more customer-friendly service.

Insurance 72

Insurance Process Medical Data Governance 72

Edureka

JANUARY 21, 2025

Read the Dataset Assemble your info into a DataFrame with pandas. Example: Load a CSV file data = pd.read_csv('data.csv') print(data.head()) # Display the first few rows of the dataset 3. Explore the Dataset Figure out how your dataset is organized and how to deal with missing values or outliers.

Python 52

Python Datasets Machine Learning Certification 52

Monte Carlo

JULY 15, 2024

We recently spoke with Killian Farrell , Principal Data Scientist at insurance startup AssuranceIQ to learn how his team built an LLM-based product to structure unstructured data and score customer conversations for developing sales and customer support teams. Tens of thousands per day in fact.

Unstructured Data 94

Unstructured Data Insurance Data Lake Structured Data 94

Cloudera

AUGUST 31, 2020

From leading banks, and insurance organizations to some of the largest telcos, manufacturers, retailers, healthcare and pharma, organizations across diverse verticals lead the way with real-time data and streaming analytics. These businesses use data-fueled insights to enhance the customer experience, reduce costs, and increase revenues.

Insurance 101

Insurance Manufacturing Retail Banking 101

Precisely

JULY 12, 2024

Unique: Unique datasets are free of redundant or extraneous entries. Consistent: Data is consistently represented in a standard way throughout the dataset. That means having large enough datasets to accurately represent the information in question, including information on all relevant fields.

Data Integration 105

Data Integration Datasets Data Data Governance 105

Precisely

JANUARY 29, 2024

LANDFIRE was not designed for the kind of fine-grained analysis required by insurance underwriters. For these applications, Precisely offers our Wildfire Risk dataset. Wildfire Models and the Insurance Industry Insurance carriers compete largely on their ability to accurately predict and price risk.

Insurance 59

Insurance Datasets Data Government 59

Precisely

NOVEMBER 18, 2024

Yoğurtçu identifies three critical steps that you should take to prepare your data for AI initiatives: Identify all critical and relevant datasets , ensuring that those used for AI training and inference are accounted for. And of course, getting your data up to the task is the other critical piece of the AI readiness puzzle.

Data Analytics 59

Data Analytics Data Governance Government Data Integration 59

AltexSoft

MAY 27, 2022

Healthcare facilities and insurance companies would give a lot to know the answer for each new admission. Yet, there’re a few essential things to keep in mind when creating a dataset to train an ML model. Medical datasets with inpatient details. Syntegra is a commercial provider of healthcare datasets.

Hospitality 98

Hospitality Medical Healthcare Algorithm 98

Precisely

NOVEMBER 20, 2023

Enrichment: The Secret to Supercharged AI You’re not just improving accuracy by augmenting your datasets with additional information. Insurance companies, for example, use data enrichment with location-based information to assess risk accurately. You’re unlocking a whole new world of possibilities.

Raw Data 121

Raw Data Insurance Data Portfolio 121

Cloudera

JUNE 13, 2024

With last week’s acquisition of Verta’s operational AI platform , we are deepening our technology and talent to accelerate AI innovation and, more specifically, simplify the process of bolstering customers’ private datasets to build retrieval-augmented generation (RAG) and fine-tuning applications.

Hadoop 103

Hadoop Big Data Banking Insurance 103

Precisely

SEPTEMBER 25, 2023

Data enrichment helps provide a 360 o view which informs better decisions around insuring, purchasing, financing, customer targeting, and more. Addresses can act as a linkage point for connecting datasets, but they’re often complex and don’t provide a complete view of the location. What marketing is effective in this area?

Data Validation 100

Data Validation Process Raw Data Data Cleanse 100

Knowledge Hut

MAY 2, 2024

Be it telecommunication, e-commerce, banking, insurance, healthcare, medicine, agriculture, biotechnology, etc. Fault Tolerance: Apache Spark achieves fault tolerance using a spark abstraction layer called RDD (Resilient Distributed Datasets), which is designed to handle worker node failure. You name the industry and it's there.

Hadoop 96

Hadoop Scala Datasets Java 96

Precisely

OCTOBER 5, 2023

sample datasets: are data samples available for download and evaluation? online software tools: can you explore datasets online, for example using a mapping application? Insurance : gain greater accuracy in underwriting and risk assessment by adding rich location context to your data on policyholders and insured locations.

Raw Data 69

Raw Data Insurance Datasets Telecommunication 69

AltexSoft

NOVEMBER 17, 2021

An example of document structure in healthcare insurance. Another example is the insurance industry that processes tens of thousands of claims daily. For example, Wipro , a software vendor, provides an NLP classifier to detect fake claims in the insurance sector. Stating categories and collecting training dataset.

Machine Learning 75

Machine Learning Insurance Medical Healthcare 75

Cloudera

APRIL 25, 2019

As well as managing the UK’s currency, supply of money and interest rates, the institute has a diverse range of responsibilities including gathering and analyzing data from banks, building societies, credit unions, insurers and mortgage companies to inform policy decisions and guide UK government departments and international organizations.

Data Management 62

Data Management Banking Management Insurance 62

Precisely

JANUARY 8, 2024

Insurance: gain a comprehensive view of property risks. Insurers can use location intelligence to help inform optimal policy pricing and prevent fraudulent claims (for example, if you know a location didn’t get hail on a particular Tuesday, you can challenge a claim that states otherwise).

Insurance 64

Insurance Telecommunication Retail Data Integration 64

Cloudera

APRIL 6, 2022

“Maybe you could have multiple destinations on Earth with the same dataset, doing different things.” As do many other industries , from retail and logistics to banking and insurance. . Moreover, interpreting AI results from the data is not overly difficult.

Big Data 103

Big Data Machine Learning Medical Insurance 103

ProjectPro

OCTOBER 14, 2021

The publicly available Kaggle dataset of the Tesla Stock Data from 2010 to 2020 can be used to implement this project. Maybe you could even consider gathering more data from the source of the Tesla Stock dataset. You could undertake this exercise using the publicly available Cervical Cancer Risk Classification Dataset.

Machine Learning 52

Machine Learning Project Insurance Medical 52

Maxime Beauchemin

JANUARY 7, 2018

Note that it’s also important for the related datasets used in this computation to be identical as they were at the time of the original computation. Note that this can easily limited to a specified time range (say 2–3 partitions) to insure a minimum level of accuracy.

Data Process 183

Data Process Data Engineering Data Engineer Process 183

Striim

MAY 1, 2024

About UPS Capital UPS Capital, a subsidiary of UPS, specializes in providing financial and insurance solutions tailored to businesses engaged in shipping and logistics. The UPS DeliveryDefense program utilizes a sophisticated technical setup, starting with the direct upload of varied datasets into BigQuery.

Google Cloud 52

Google Cloud Insurance Finance Machine Learning 52

Precisely

AUGUST 5, 2024

For the insurance industry, it can reveal information about crime, the risk of fires or flooding, and other spatial relationships that contribute to a place’s value. Service overview Data Integrity Suite - Spatial Analytics Discover and visualize patterns, trends, and relationships between location-based datasets.

Insurance 52

Insurance Data Integration Retail Datasets 52

ProjectPro

SEPTEMBER 29, 2021

1) Predicting Sales of BigMart Stores 2) Insurance Claims Severity Prediction Learning Probability and Statistics for Machine Learning Whenever we work on a project that uses a machine-learning algorithm, there are two significant steps involved. It will be of great help in deciding which algorithm will work for a given problem and dataset.

Machine Learning 52

Machine Learning Insurance Algorithm Datasets 52

Knowledge Hut

NOVEMBER 20, 2023

As the guardians of financial security, they work tirelessly to analyze vast datasets, spot anomalies, and identify patterns that would be nearly impossible for humans to discern. Healthcare: AI can detect fraudulent insurance claims and prescription fraud in healthcare. It can analyze billing data to identify irregularities.

Insurance 52

Insurance Banking Machine Learning Algorithm 52

ProjectPro

AUGUST 28, 2021

Each project explores new machine learning algorithms, datasets, and business problems. The dataset contains three weeks of activity data on each driver like login time, number of hours active each day, date, and driver details like driver gender, age, id, number of kids, etc. All the activities were tracked and video recorded.

Portfolio 52

Portfolio Project Datasets Algorithm 52

ProjectPro

DECEMBER 10, 2021

One can use their dataset to understand how they work out the whole process of the supply chain of various products and their approach towards inventory management. An analysis of their dataset will also reveal how they use data science tools and techniques to estimate their daily sales and maximise their profit. to estimate the costs.

Business Intelligence 52

Business Intelligence Coding Project BI 52

Monte Carlo

OCTOBER 31, 2024

Millions of Americans tried to sign up for health insurance—and couldn’t. The site crashed under heavy demand and even when people did manage to enroll, the system sometimes created multiple insurance plans for the same person. Monitor the quality of datasets to see how you improve over time.

PostgreSQL 52

PostgreSQL Insurance Database Data 52

Precisely

OCTOBER 19, 2023

This is a prime example of a strategy in need of support from demographics and points of interest datasets – to tell you more about people and places – and spatial analytics solutions – to let you analyze how those factors can impact store performance. How convenient is a given location – is it close to major roads or public transportation?

Telecommunication 64

Telecommunication Retail Transportation Insurance 64

Monte Carlo

MARCH 28, 2023

A good description of these core responsibilities can be sen in an Amica Mutual Insurance job description: Responsible for creating and implementing an enterprise-wide Data Quality (DQ) strategy by working with business and technology partners to ensure alignment and dedication to objectives.

Insurance 59

Insurance Programming Language Manufacturing Data 59

Precisely

SEPTEMBER 12, 2024

For instance, by simply typing in an address (with the help of autocomplete capabilities to ensure accuracy), an insurance underwriter can create a risk analysis report with details like natural risks, crime risks, and existing policies in the area. Key benefits: accessibility operational efficiency error-proof 3.

Food 64

Food Insurance Data Science Data 64

Precisely

JANUARY 31, 2023

Those bets are paying off, as business leaders discover the power of continuous analytics performed on very large datasets. Insurance carriers, for example, use AI to refine their understanding of risk, as well as to score incoming claims based on the likelihood that they are fraudulent.

Insurance 52

Insurance Retail Machine Learning Government 52

Knowledge Hut

APRIL 26, 2024

ML is now being used in IT, retail, insurance, government and the military. The rules defined by these types of algorithms help to discover commercially useful and important associations among large datasets. There is no end to what can be achieved with the right ML algorithm.

Machine Learning 98

Machine Learning Algorithm Deep Learning Programming Language 98

Knowledge Hut

NOVEMBER 27, 2023

Learn Data Analysis with Python Now that you know how to code in Python start picking toy datasets to perform analysis using Python. Kaggle allows users to work with other users, find and publish datasets, use GPU-integrated notebooks, and compete with other data scientists to solve data science challenges.

Data Science 97

Data Science Healthcare Machine Learning Algorithm 97