Cloudera

JANUARY 27, 2022

Insurers are increasingly adopting data from smart devices and related technologies to support and service their customers better. I have been researching more about how we can use the new data from those devices to design more innovative insurance products while being aware that these should all be contingent upon customer opt-in.

Insurance 85

Insurance IoT Risk Data Processing 85

Alation

JUNE 17, 2021

Leading companies like Cisco, Nielsen, and Finnair turn to Alation + Snowflake for data governance and analytics. By joining forces, we can build more potent, tailored solutions that leverage data governance as a competitive asset. Joint Success with Texas Mutual Insurance.

Data Governance 98

Data Governance Data Lake Insurance Enterprise 98

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

Cloudera

MARCH 3, 2022

Whether the enterprise uses dozens or hundreds of data sources for multi-function analytics, all organizations can run into data governance issues. Bad data governance practices lead to data breaches, lawsuits, and regulatory fines — and no enterprise is immune. . Everyone Fails Data Governance.

Data Governance 100

Data Governance Enterprise Data Quality Metadata 100

Cloudera

JUNE 14, 2024

But for all the excitement and movement happening within hybrid cloud infrastructure and its potential with AI, there are still risks and challenges that need to be appropriately managed—specifically when it comes to the issue of data governance. The need for effective data governance itself is not a new phenomenon.

Data Governance 74

Data Governance Data-driven Insurance Enterprise 74

CIO Business Intelligence

NOVEMBER 7, 2024

Monica Caldas is an award-winning digital executive who leads a team of 5,000 technologists as the global CIO for Liberty Mutual Insurance. As a technology organization supporting a global insurance company, job No. We are still maturing in this capability, but we have fully recognized that we have shared data responsibilities.

Insurance 120

Insurance Experimentation Testing Technology 120

IBM Big Data Hub

MAY 9, 2024

The healthcare industry faces arguably the highest stakes when it comes to data governance. For starters, healthcare organizations constantly encounter vast (and ever-increasing) amounts of highly regulated personal data. healthcare, managing the accuracy, quality and integrity of data is the focus of data governance.

Data Governance 66

Data Governance Data Quality Insurance Predictive Analytics 66

Cloudera

FEBRUARY 4, 2021

Financial services institutions need the ability to analyze and act on massive volumes of data from diverse sources in order to monitor, model, and manage risk across the enterprise. They need a comprehensive data and analytics platform to model risk exposures on-demand. End-to-end Data Lifecycle.

Risk 88

Risk Marketing Technology Management 88

Alation

SEPTEMBER 7, 2021

In this blog we will discuss how Alation helps minimize risk with active data governance. Now that you have empowered data scientists and analysts to access the Snowflake Data Cloud and speed their modeling and analysis, you need to bolster the effectiveness of your governance models.

Data Governance 59

Data Governance Risk Data Quality Dashboards 59

Cloudera

FEBRUARY 15, 2024

While there are clear reasons SVB collapsed, which can be reviewed here , my purpose in this post isn’t to rehash the past but to present some of the regulatory and compliance challenges financial (and to some degree insurance) institutions face and how data plays a role in mitigating and managing risk.

Insurance 88

Insurance Data Architecture Risk Management Risk 88

CIO Business Intelligence

DECEMBER 11, 2024

Across industry verticals, healthcare and life science lead the way with 38% of companies having either integrated or transformative approaches to AI, followed by insurance and banking with 37% and 30% respectively. Issues around data governance and challenges around clear metrics follow the top challenge areas.

ROI 59

ROI Experimentation Insurance Strategy 59

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). employees).

Insurance 100

Insurance Data-driven Data Governance Metadata 100

CIO Business Intelligence

MARCH 19, 2025

This can cause risk without a clear business case. This enforces the need for good data governance, as AI models will surface incorrect data more frequently, and most likely at a greater cost to the business. They also have responsibility to build out the critical data products that are core to our business.

Metrics 64

Metrics Enterprise Cost-Benefit Experimentation 64

Cloudera

AUGUST 12, 2021

Risk Management. A 2019 HBR article mentioned how organizational decisions backed by data have instilled more confidence and reduced risk. One of the more obvious use cases of data’s role in reducing risk is insurance policies. MetLife then reaches out to specific drivers to urge them to take precautions.

Data-driven 111

Data-driven Manufacturing Insurance Risk Management 111

erwin

MARCH 30, 2020

This data will be collected from organizations such as, the World Health Organization (WHO), the Centers for Disease Control (CDC), and state and local governments across the globe. Privately it will come from hospitals, labs, pharmaceutical companies, doctors and private health insurers.

Metadata 122

Metadata IT Data Governance Data Quality 122

CIO Business Intelligence

DECEMBER 7, 2023

Along the way, business leaders in every industry have been scrambling to develop their generative AI strategies, address potential risks, and figure out the best next action while trying to stay one step ahead of the competition. Where will the biggest transformation occur first? First, it is clear that generative AI will transform business.

Insurance 89

Insurance Experimentation Finance Data Governance 89

Octopai

JULY 9, 2020

By adopting automated data lineage and automated metadata tagging, companies have the opportunity to increase their data processing speed. That increase can manage huge endeavors, such as migrations, error location, and new data governance integrations which then become “routine” operations.

Insurance 98

Insurance Risk Management Machine Learning Metadata 98

CIO Business Intelligence

FEBRUARY 27, 2023

Italian insurer Reale Group found itself with four cloud providers running around 15% of its workloads, and no clear strategy to manage them. “It The two most frequently cited motivations for using multiple cloud providers were data sovereignty or locality (cited by 41% of respondents) and cost optimization (40%).

Cost-Benefit 143

Cost-Benefit Insurance Enterprise Optimization 143

Alation

OCTOBER 28, 2021

Leaders are asking how they might use data to drive smarter decision making to support this new model and improve medical treatments that lead to better outcomes. Yet this is not without risks. This data is also a lucrative target for cyber criminals. Data governance in healthcare has emerged as a solution to these challenges.

Data Governance 52

Data Governance Measurement Data Quality Metrics 52

erwin

FEBRUARY 19, 2021

Is it sensitive or are there any risks associated with it? Metadata also helps your organization to: Discover data. Identify and interrogate metadata from various data management silos. Harvest data. Automate the collection of metadata from various data management silos and consolidate it into a single source.

Metadata 110

Metadata Management Data Quality Cost-Benefit 110

CIO Business Intelligence

OCTOBER 3, 2024

CIOs of many of the largest banks, financial firms, and insurance giants will likely continue to rely on big iron for the foreseeable future — especially if additional AI capabilities on the mainframe reduce their inclination to re-platform on the cloud. billion in 2015 to less than $6.5 platform running on the cloud makes sense for Ally.”

Machine Learning 140

Machine Learning Experimentation Insurance Modeling 140

CIO Business Intelligence

SEPTEMBER 20, 2023

With 90 years of history, Mapfre is one of the giants of the Spanish insurance sector. The personalization of services and products is going to be fundamental in the insurance sector,” she says, an aspect she’s spearheading, along with a commitment to data and AI. “The Here, she speaks with Esther Macías on how it’ll all work.

Modeling 98

Modeling Insurance IT Cost-Benefit 98

CIO Business Intelligence

JANUARY 8, 2024

“As we head into the new year, CIOs and other IT leaders will need to understand how innovation can disrupt the business from both an internal and external perspective and make decisions with measured risk taking and a strong focus on priority outcomes.”

Cost-Benefit 142

Cost-Benefit Digital Transformation Optimization Measurement 142

erwin

NOVEMBER 14, 2019

Data governance tools used to occupy a niche in an organization’s tech stack, but those days are gone. The rise of data-driven business and the complexities that come with it ushered in a soft mandate for data governance and data governance tools. Data Governance Tools for Regulatory Compliance.

Data Governance 40

Data Governance Cost-Benefit Data-driven Metadata 40

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

Cloudera

MARCH 25, 2021

The protection and controls around data become increasingly complex when used in the context of banking and insurance activities. Personal and confidential information carries heightened sensitivity in the light of financial, health and insurance activities. The post Will Data Privacy drive an Enterprise Data Strategy?

Data Strategy 65

Data Strategy Strategy Enterprise Insurance 65

CIO Business Intelligence

MARCH 25, 2022

Policy makers around the world have been recognizing this heightened risk, which has been further amplified by the recent geopolitical tensions. The European Union (EU) has pulled together a proposal for a unified framework to regulate risk management for financial institutions. When having to manage corporate risk, simplicity is key.

Finance 98

Finance KPI Risk IoT 98

CIO Business Intelligence

JANUARY 19, 2024

On a federal level, the American Data Privacy and Protection Act (ADPPA) is making its way through Congress, gaining wide bipartisan support when it was first introduced in 2022. These regulations serve the dual purpose of protecting individuals’ privacy and security while establishing ethical standards for responsible data handling.

IT 119

IT Insurance Data Governance Measurement 119

CIO Business Intelligence

AUGUST 1, 2023

As many CIOs prepare their 2024 budgets and digital transformation priorities, developing a strategy that seeks opportunities to evolve business models, targets near-term operational impacts, prioritizes where employees should experiment, and defines AI-related risk-mitigating plans is imperative.

Digital Transformation 98

Digital Transformation Unstructured Data Strategy Data Science 98

Cloudera

NOVEMBER 3, 2023

Their Data Health and Lineage capability adds business context to data, enhancing data governance and, in turn helping enterprises accurately assess data risks. The winners were determined based on revenue, year-over-year growth, resource and certification investment in Cloudera, and technology alignment.

Technology 100

Technology Insurance Strategy Marketing 100

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

AWS Big Data

JUNE 25, 2024

Cost-effective: Reduces data transfer pipeline and storage costs associated with traditional data integration methods. Enhanced security: Data remains in its original secure environment, reducing exposure risks. Streamlined compliance: Simplifies data governance by maintaining data in its original, regulated environment.

Data Lake 111

Data Lake Cost-Benefit Data-driven Data Warehouse 111

IBM Big Data Hub

OCTOBER 30, 2023

A leading insurance player in Japan leverages this technology to infuse AI into their operations. Real-time analytics on customer data — made possible by DB2’s high-speed processing on AWS — allows the company to offer personalized insurance packages.

Insurance 77

Insurance Data Warehouse Data-driven Unstructured Data 77

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

erwin

DECEMBER 9, 2024

And do you have the transparency and data observability built into your data strategy to adequately support the AI teams building them? 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 52

Metadata Data Quality Sales Modeling 52

Alation

NOVEMBER 16, 2021

Data Governance is growing essential. Data growth, shrinking talent pool, data silos – legacy & modern, hybrid & cloud, and multiple tools – add to their challenges. Organizations are trying to balance dual objectives of risk mitigation and rapid growth.

Data Governance 52

Data Governance Insurance Risk Data-driven 52

IBM Big Data Hub

OCTOBER 12, 2023

Accounting for the complexities of the AI lifecycle Unfortunately, typical data storage and data governance tools fall short in the AI arena when it comes to helping an organization perform the tasks that underline efficient and responsible AI lifecycle management.

Cost-Benefit 76

Cost-Benefit Metadata Data Governance Modeling 76