CIO Business Intelligence

DECEMBER 18, 2024

This ability builds on the deep metadata context that Salesforce has across a variety of tasks. Some examples of such use cases, according to Evans, are answering questions on contracts or large documents, especially in the legal, insurance, and healthcare sectors.

Enterprise 98

Enterprise IT Sales Metadata 98

erwin

MARCH 30, 2020

Privately it will come from hospitals, labs, pharmaceutical companies, doctors and private health insurers. Unraveling Data Complexities with Metadata Management. Metadata management will be critical to the process for cataloging data via automated scans. Data cataloging to capture object metadata for identified data assets.

Metadata 122

Metadata IT Data Governance Data Quality 122

O'Reilly on Data

MARCH 20, 2019

Like many others, I’ve known for some time that machine learning models themselves could pose security risks. An attacker could use an adversarial example attack to grant themselves a large loan or a low insurance premium or to avoid denial of parole based on a high criminal risk score.

Modeling 278

Modeling Machine Learning Predictive Modeling Consulting 278

erwin

DECEMBER 9, 2024

Will the new creative, diverse and scalable data pipelines you are building also incorporate the AI governance guardrails needed to manage and limit your organizational risk? Metadata is the basis of trust for data forensics as we answer the questions of fact or fiction when it comes to the data we see.

Metadata 52

Metadata Data Quality Sales Modeling 52

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. Without them an organisations’ AI exploits carry significant risk, particularly due to the triple-threats of data bias, mis-labelling, and poor selection.

Data Governance 145

Data Governance IT Data Lake Risk 145

Alation

OCTOBER 4, 2022

The foundation of insurance is data and analytics. Actuaries and their mathematical models enable insurers to calculate risk to determine premiums. Today, the rise of digital insurance companies and the changing risk landscape together drive the industry’s digital transformation. Why is it Important?

Insurance 52

Insurance Data Governance Risk Strategy 52

Alation

JUNE 28, 2022

This is where metadata, or the data about data, comes into play. Your metadata management framework provides the underlying structure that makes your data accessible and manageable. What is a Metadata Management Framework? Your framework should include the following: Global metadata: applies to all information.

Metadata 52

Metadata Management Data Governance Machine Learning 52

Alation

JANUARY 9, 2023

Alation joined with Ortecha , a data management consultancy, to publish a white paper providing insights and guidance to stakeholders and decision-makers charged with implementing or modernising data risk management functions. The Increasing Focus On Data Risk Management. Download the complete white paper now.

Risk Management 52

Risk Management Risk Management Metadata 52

erwin

APRIL 11, 2019

Some industries, such as healthcare and financial services, have been subject to stringent data regulations for years: GDPR now joins the Health Insurance Portability and Accountability Act (HIPAA), the Payment Card Industry Data Security Standard (PCI DSS) and the Basel Committee on Banking Supervision (BCBS).

Data-driven 100

Data-driven Insurance Data Governance Metadata 100

Octopai

JULY 9, 2020

By adopting automated data lineage and automated metadata tagging, companies have the opportunity to increase their data processing speed. It required banks to develop a data architecture that could support risk-management tools. They then relayed that information to insurance companies.

Insurance 98

Insurance Risk Management Machine Learning Metadata 98

O'Reilly on Data

MARCH 23, 2023

What is it, how does it work, what can it do, and what are the risks of using it? But Transformers have some other important advantages: Transformers don’t require training data to be labeled; that is, you don’t need metadata that specifies what each sentence in the training data means. What Are the Risks?

IT 348

IT Modeling Testing Risk 348

erwin

NOVEMBER 14, 2019

In the United States, the Health Insurance Portability and Accountability Act (HIPAA) requires organizations in the healthcare space to protect the privacy and security of certain health information. Of course, metadata management is at the heart of any data governance initiative. Data Governance Tools for Regulatory Compliance.

Data Governance 105

Data Governance Cost-Benefit Data-driven Metadata 105

Cloudera

MARCH 3, 2022

The medical insurance company wasn’t hacked, but its customers’ data was compromised through a third-party vendor’s employee. What’s more, SDX provides access to the lineage, metadata, and metrics associated with data utilization across environments. In 2017, Anthem reported a data breach that exposed thousands of its Medicare members.

Data Governance 100

Data Governance Enterprise Data Quality Metadata 100

AWS Big Data

JANUARY 16, 2024

This lets you to define, avoid, and handle disruption risks as part of your business continuity plan. Within Airflow, the metadata database is a core component storing configuration variables, roles, permissions, and DAG run histories. A healthy metadata database is therefore critical for your Airflow environment.

Strategy 109

Strategy Metadata Metrics Dashboards 109

Cloudera

JULY 20, 2021

Risk models for financial institutions and insurers are exponentially more complicated . Invest in maturing and improving your enterprise business metrics and metadata repositories, a multitiered data architecture, continuously improving data quality, and managing data acquisitions. Airline schedules and pricing algorithms.

Manufacturing 106

Manufacturing Forecasting IoT Insurance 106

Cloudera

MAY 6, 2021

Risk Mitigation. Risk mitigation is an esoteric topic in articulating the value of multi-cloud strategies given the different risk exposures of single-cloud deployments that depend on a host of reasons, including industry context and the potential impacts to different business domains e.g., cybersecurity, client-facing systems, etc.

Strategy 92

Strategy Cost-Benefit Optimization Risk 92

Cloudera

SEPTEMBER 15, 2022

Similar use cases exist across all other verticals like insurance, finance and telecommunications. . Furthermore, data stored in Ozone can be accessed for various use cases via different protocols, eliminating the need for data duplication, which in turn reduces risk and optimizes resource utilization. Diversity of workloads.

Metadata 87

Metadata Big Data Optimization Machine Learning 87

AWS Big Data

FEBRUARY 12, 2024

Manually handling repetitive daily tasks at scale poses risks like delayed insights, miscataloged outputs, or broken dashboards. When the status changes to SUCCESS, it proceeds to the next step to retrieve the AWS Glue table metadata information. After a successful update of the AWS Glue table metadata, the state machine is complete.

Publishing 103

Publishing Dashboards Metadata Visualization 103

Alation

SEPTEMBER 7, 2021

In this blog we will discuss how Alation helps minimize risk with active data governance. Governance influences how an organization’s objectives are set and achieved, how risk is monitored and addressed, and how performance is optimized. Organizations that run afoul of such laws risk damaging their reputation.

Data Governance 59

Data Governance Risk Data Quality Dashboards 59

AWS Big Data

JUNE 25, 2024

This external DLO acts as a storage container, housing metadata for your federated Redshift data. Enhanced security: Data remains in its original secure environment, reducing exposure risks. When you deploy a data stream from Amazon Redshift to Data Cloud, an external data lake object (DLO) is created within the Data Cloud environment.

Data Lake 111

Data Lake Cost-Benefit Data-driven Data Warehouse 111

IBM Big Data Hub

FEBRUARY 8, 2024

” European Parliament News The EU AI Act in brief The primary focus of the EU AI Act is to strengthen regulatory compliance in the areas of risk management, data protection, quality management systems, transparency, human oversight, accuracy, robustness and cyber security.

Risk Management 72

Risk Management Risk Machine Learning Dashboards 72

Octopai

DECEMBER 11, 2022

Banks didn’t accurately assess their credit and operational risk and hold enough capital reserves, leading to the Great Recession of 2008-2009. Insurance companies misvalued or misreported on insurance contracts (which, to be fair, are notoriously hard to compare with precision). Data lineage and financial risk data compliance.

Insurance 52

Insurance Risk Metadata Visualization 52

Octopai

FEBRUARY 9, 2021

IFRS 17 brings potential for more accurate reporting and valuation of your insurance company’s contracts – both by internal analysts and external investors. IFRS 17 Insurance Contracts in a Nutshell. But apples-to-apples comparisons have, historically, been tricky with insurance contracts. All of the above.

Insurance 52

Insurance Reporting Metadata Risk 52

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. Privacy, Risk and Compliance. Again, metadata is key. Data Intelligence and Metadata. Cloud Transformation.

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

Timo Elliott

JANUARY 5, 2022

You must master your metadata and make sure that everything is lined up. If you work in IT, you probably have a higher risk of losing your job by not implementing cloud than by implementing cloud systems (laughs). They are already impacting industries such as agriculture and insurance. Yves: Why are all those projects failing?

Digital Transformation 115

Digital Transformation Machine Learning Enterprise Data Science 115

Cloudera

AUGUST 31, 2021

It has a consistent framework that secures and provides governance for all data and metadata on private clouds, multiple public clouds, or hybrid clouds. The data from your existing data warehouse is migrated to the storage option you choose, and all the metadata is migrated into SDX (Shared Data Experiences) layer of Cloudera Data Platform.

Data Warehouse 82

Data Warehouse Cost-Benefit Metadata Data-driven 82

Ontotext

SEPTEMBER 2, 2020

The risk is that the organization creates a valuable asset with years of expertise and experience that is directly relevant to the organization and that valuable asset can one day cross the street to your competitors. Organizations that invest time and resources to improve the knowledge and capabilities of their employees perform better.

Insurance 72

Insurance Metadata Publishing Unstructured Data 72

Alation

MARCH 31, 2023

Ehtisham Zaidi, Gartner’s VP of data management, and Robert Thanaraj, Gartner’s director of data management, gave an update on the fabric versus mesh debate in light of what they call the “active metadata era” we’re currently in. The active metadata helix Indeed, automation was on everyone’s minds. We couldn’t agree more.

Data Analytics 52

Data Analytics Analytics Metadata Data Governance 52

AWS Big Data

AUGUST 14, 2023

At the same time, unstructured approaches to data mesh management that don’t have a vision for what types of products should exist and how to ensure they are developed are at high risk of creating the same effect through simple neglect. How do we define “risk” and “value” in the context of data products, and how can we measure this?

Management 86

Management Risk Measurement Optimization 86

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. How to Catalog AWS S3 with Alation.

Data Lake 52

Data Lake ROI Metadata Cost-Benefit 52

Octopai

JANUARY 25, 2021

With such sensitive information at risk, the federal government passed the Health Insurance Portability and Accountability Act (HIPAA). The Health Insurance Portability and Accountability Act of 1996 (HIPAA) is a set of regulations that healthcare providers must follow to protect patients’ healthcare data.

Insurance 52

Insurance Metadata Statistics Reporting 52

Alation

DECEMBER 13, 2022

See how European energy enterprise Vattenfall is supporting collaboration across its many operations, or how global insurer Munich Re combined weather with wind-farm data to launch a new service product). Active governance learns from user behavior, captured in metadata. Casting a wide metadata net is important. Conclusion.

Metadata 52

Metadata Data Governance Enterprise Data-driven 52

AWS Big Data

OCTOBER 4, 2023

Cognizant Data & Intelligence Toolkit (CDIT) – ETL Conversion Tool automates this process, bringing in more predictability and accuracy, eliminating the risk associated with manual conversion, and providing faster time to market for customers. Cognizant is an AWS Premier Tier Services Partner with several AWS Competencies.

Data Warehouse 64

Data Warehouse Cost-Benefit Metadata Data Lake 64

Alation

NOVEMBER 16, 2021

Organizations are trying to balance dual objectives of risk mitigation and rapid growth. This results in reduced risk, improved financial health, and greater business agility,” said Anthony Seraphim, Vice President of Data Governance, Texas Mutual Insurance Company. Meanwhile, data scientists and analysts need access to data.

Data Governance 52

Data Governance Insurance Risk Data-driven 52

AWS Big Data

FEBRUARY 21, 2023

Additionally, scalability of the dimensional model is complex and poses a high risk of data integrity issues. Data vaults make it easy to maintain data lineage because it includes metadata identifying the source systems. And for data models that can be directly reported, a dimensional model can be developed.

Data Warehouse 70

Data Warehouse Data Lake Cost-Benefit Metadata 70