Octopai

JULY 9, 2020

As a core principle of data management, all BI & Analytics teams engage with data lineage at some point to be able to visualize and understand how the data they process moves around throughout the various systems that make up their data environment. They then relayed that information to insurance companies.

Insurance 98

Insurance Risk Management Machine Learning Metadata 98

AWS Big Data

AUGUST 6, 2024

Solution overview In this, we will provide a step-by-step guide showing you how you can build a real-time OLAP datastore on Amazon Web Services (AWS) using Apache Pinot on Amazon Elastic Compute Cloud (Amazon EC2) and do near real-time visualization using Tableau. You can use Amazon Managed Service for Apache Flink service.

OLAP 110

OLAP Analytics Visualization Dashboards 110

erwin

JUNE 27, 2019

Additional challenges, such as increasing regulatory pressures – from the General Data Protection Regulation (GDPR) to the Health Insurance Privacy and Portability Act (HIPPA) – and growing stores of unstructured data also underscore the increasing importance of a data modeling tool. Evaluating a Data Modeling Tool – Key Features.

Measurement 81

Measurement Modeling Unstructured Data Metadata 81

Octopai

APRIL 4, 2022

Data lineage maps out the journey of any data asset or data point based on the metadata in healthcare systems. Data is often analyzed or reported on in medical research papers, insurance claim reports or drug development updates. How do you confirm that you’ve built your model or made your clinical decision using the right data? .

Metadata 98

Metadata Reporting Visualization Insurance 98

Octopai

MAY 13, 2020

One of Octopai’s customers, a Seattle-based insurance quote provider operating in a data-rich environment, shared that before automating their tools, navigating their complex environment required input from many team members. Automated metadata management tools are key to putting these tools at new employees’ fingertips.

Metadata 52

Metadata Business Intelligence Visualization Insurance 52

Domino Data Lab

SEPTEMBER 9, 2019

Typically, there are contracts (sales contracts, work agreements, partnerships), there are invoices, there are insurance policies, there are regulations and other laws, and so on. Next let’s use the displaCy library to visualize the parse tree for that sentence: In [4]: from spacy import displacy?? part of speech. Cupertino GPE?

Deep Learning 110

Deep Learning Machine Learning Data Science Visualization 110

Octopai

DECEMBER 11, 2022

Insurance companies misvalued or misreported on insurance contracts (which, to be fair, are notoriously hard to compare with precision). This is where data lineage and metadata management becomes an integral part of BCBS 239, TRIM or any other regulations dealing with financial risk. Data lineage and insurance data compliance.

Insurance 52

Insurance Risk Metadata Visualization 52

AWS Big Data

MARCH 7, 2023

Sources Data can be loaded from multiple sources, such as systems of record, data generated from applications, operational data stores, enterprise-wide reference data and metadata, data from vendors and partners, machine-generated data, social sources, and web sources. Let’s look at the components of the architecture in more detail.

Analytics 96

Analytics Data Warehouse Data Lake Metadata 96

Octopai

AUGUST 11, 2024

While open-source tools such as Apache Atlas, Open Metadata, Egeria, Spline, and OpenLineage offer valuable capabilities, they come with their own sets of pros and cons. Open Metadata OpenMetadata is an open-source data catalog and metadata management platform designed to help organizations manage their data assets efficiently.

Metadata 40

Metadata Visualization Data Quality Data Governance 40

IBM Big Data Hub

MAY 9, 2024

Healthcare organizations need a strong data governance framework to help ensure compliance with regulations like the Health Insurance Portability and Accountability Act of 1996 (HIPAA) in the US and the General Data Protection Regulation (GDPR) in the EU. Inaccuracies might also lead to more delays or complications with insurance coverage.

Data Governance 66

Data Governance Data Quality Insurance Predictive Analytics 66

Alation

AUGUST 26, 2021

It includes intelligence about data, or metadata. The earliest DI use cases leveraged metadata — EG, popularity rankings reflecting the most used data — to surface assets most useful to others. Again, metadata is key. Data Intelligence and Metadata. Data intelligence is fueled by metadata.

Metadata 64

Metadata Data Governance Dashboards Software 64

IBM Big Data Hub

OCTOBER 12, 2023

Among the tasks necessary for internal and external compliance is the ability to report on the metadata of an AI model. Metadata includes details specific to an AI model such as: The AI model’s creation (when it was created, who created it, etc.)

Cost-Benefit 76

Cost-Benefit Metadata Data Governance Modeling 76

Alation

FEBRUARY 13, 2020

At Alation, 2018 was a banner year with incredible adoption, including new customers like American Family Insurance, BMW, Daimler, Munich Re , and Pepsico. Gartner: Magic Quadrant for Metadata Management Solutions. Magic Quadrant for Metadata Management Solutions 4 based on its ability to execute and completeness of vision.

Metadata 52

Metadata Machine Learning Data Governance Reporting 52

Alation

DECEMBER 2, 2022

Texas Mutual Insurance Company accelerates DDDM to make competitive choices within 24 hours. Regeneron provides a centralized metadata hub so researchers can find data quickly, collaborate across the business – and deliver medicines to market faster. Which begs the question: How do companies benefit from DDDM? How can Alation help?

Data-driven 52

Data-driven Insurance Metadata ROI 52

IBM Big Data Hub

JULY 17, 2023

By supporting open-source frameworks and tools for code-based, automated and visual data science capabilities — all in a secure, trusted studio environment — we’re already seeing excitement from companies ready to use both foundation models and machine learning to accomplish key tasks.

Machine Learning 62

Machine Learning Data Warehouse Modeling Cost-Benefit 62

Cloudera

JANUARY 5, 2023

This is especially so in industries like telecom, retail, healthcare, manufacturing, insurance, and financial services. We foresee organizations pivoting focus beyond the algorithm to things like business-ready predictive dashboards, visualizations, and applications that simplify the use of AI systems to reach conclusions.

Cost-Benefit 52

Cost-Benefit Business Objectives Machine Learning Data Architecture 52

Domino Data Lab

JUNE 2, 2019

Her talk addressed career paths for people in data science going into specialized roles, such as data visualization engineers, algorithm engineers, and so on. To do this, first review quantitative decisions being made by staff – for example, settlement prices quoted by insurance claims adjusters.

Data Science 110

Data Science Data-driven Machine Learning Modeling 110

Andrew White

JANUARY 11, 2021

As such banking, finance, insurance and media are good examples of information-based industries compared to manufacturing, retail, and so on. Coding skills – SQL, Python or application familiarity – ETL & visualization? We cannot of course forget metadata management tools, of which there are many different.

Data Analytics 52

Data Analytics Analytics Data-driven Finance 52

erwin

MAY 2, 2022

One must also capture the vast quantity of metadata around the OLTP business requirements that must be reflected. While talking to the business people about the business requirements, entities tend to be the plural nouns that they mention: insureds, beneficiaries, policies, terms, etc. What is an entity? Aren’t they just both people?

Modeling 98

Modeling Insurance Cost-Benefit Data Warehouse 98

IBM Big Data Hub

FEBRUARY 14, 2024

Creative AI use cases Create with generative AI Generative AI tools such as ChatGPT, Bard and DeepAI rely on limited memory AI capabilities to predict the next word, phrase or visual element within the content it’s generating. Generative AI can produce high-quality text, images and other content based on the data used for training.

Cost-Benefit 82

Cost-Benefit Insurance Machine Learning Unstructured Data 82

Domino Data Lab

JULY 22, 2019

He also really informed a lot of the early thinking about data visualization. It involved a lot of work with applied math, some depth in statistics and visualization, and also a lot of communication skills. You know, companies like telecom and insurance, they don’t really need machine learning.”

Data Science 109

Data Science Machine Learning Data Governance Modeling 109

Cloudera

SEPTEMBER 17, 2020

By enabling their event analysts to monitor and analyze events in real time, as well as directly in their data visualization tool, and also rate and give feedback to the system interactively, they increased their data to insight productivity by a factor of 10. . Our solution: Cloudera Data Visualization.

Data Warehouse 81

Data Warehouse Experimentation Dashboards Visualization 81