AWS Big Data

MARCH 7, 2023

A data hub is a center of data exchange that constitutes a hub of data repositories and is supported by data engineering, data governance, security, and monitoring services. A data hub contains data at multiple levels of granularity and is often not integrated.

Analytics 78

Analytics Data Warehouse Data Lake Metadata 78

AWS Big Data

MARCH 27, 2024

The solution uses AWS services such as AWS HealthLake , Amazon Redshift , Amazon Kinesis Data Streams , and AWS Lake Formation to build a 360 view of patients. This means you no longer have to create an external schema in Amazon Redshift to use the data lake tables cataloged in the Data Catalog.

Data Analytics 105

Data Analytics Analytics Data Warehouse Data Lake 105

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

Andrew White

OCTOBER 22, 2019

Drafted 75% of a written response inquiry for a client: best practices for a data governance/MDM team working in a highly acquisitive (e.g. Here is a summary of 1-1’s for day 1 (some sections score more than 100% due to multiple responses): Topic: • Data Governance 6. Master Data Management (MDM) 4. Data lake 1.

Data Lake 49

Data Lake IT Insurance Data Governance 49

Andrew White

OCTOBER 23, 2019

5.10pm Rush back over to the 1-1 area for final 1-1 today… Here is a summary of my 1-1’s today (including Monday’s data): Topic: Data Governance 14. Vision/Data Driven 7. Master Data Management (MDM) 8. Data lake 4. Insurance 1. AI/Innovation 2. AI/Automation 6. Rolls and Skills 4. Hoteling 1.

Data Lake 49

Data Lake IT Data-driven Insurance 49

DataRobot Blog

OCTOBER 3, 2017

This highlights the two companies’ shared vision on self-service data discovery with an emphasis on collaboration and data governance. 2) When data becomes information, many (incremental) use cases surface. He is accelerating productivity of information consumers by retooling the organization.

Data Lake 52

Data Lake Data Architecture Advertising Insurance 52

Andrew White

OCTOBER 24, 2019

Here is my update analysis on my 1-1’s and interactions so far: Topic: Data Governance 24. Vision/Data Driven/Outcomes 28. Modern) Master Data Management 16. Data lake 4. Data Literacy 4. Insurance 2. He is not in booth 2!!! AI/Innovation 3. AI/Automation 6. Rolls and Skills 5. IT Director 4.

Recreation/Entertainment 49

Recreation/Entertainment Data Lake IT Insurance 49

Data Virtualization

MARCH 18, 2024

Facing a range of regulations covering privacy, such as the General Data Protection Regulation (GDPR) and the Health Insurance Portability and Accountability Act (HIPAA), to financial regulations such as Dodd-Frank and Basel II, to. Reading Time: 3 minutes Regulatory compliance keeps getting more complex.

Insurance 52

Insurance Data Integration Management Data Lake 52

Hurwitz & Associates

JUNE 28, 2018

Chief Data Officers (CDOs) have a weighty responsibility: they are “on point” to find the actionable insights and data trends from analysis of data lakes, data repositories and virtual “seas” of data flowing across their large organizations. Speakers included: USAA, an insurance company for U.S.

Insurance 40

Insurance Data Lake Machine Learning Enterprise 40

Andrew White

OCTOBER 25, 2019

Here is my final analysis of my 1-1s and interactions this week: Topic: Data Governance 28. Vision/Data Driven/Outcomes 28. Data, analytics, or D&A Strategy 21. Modern) Master Data Management 18. Data lake 4. Data Literacy 4. IoT/Streaming data 1. Insurance 3. AI/Automation 6.

Recreation/Entertainment 40

Recreation/Entertainment IT Data Lake Data-driven 40

Alation

JULY 7, 2022

Two data-driven careers. In 2013 I joined American Family Insurance as a metadata analyst. In 2018, American Family Insurance became an Alation customer and I became the product owner for the AmFam catalog program. In the 2010s, the growing scope of the data landscape gave rise to a new profession: the data scientist.

Metadata 52

Metadata Data-driven Insurance Statistics 52

Alation

FEBRUARY 20, 2020

Increasingly, Chief Data Officers (CDOs) are the leaders tasked with harnessing data to drive the business forward. Initially, CDOs were funded to ensure compliance in industries like banking, finance, insurance, healthcare and government. Governing Data Lakes to Find Opportunities for Customers.

Data-driven 52

Data-driven Internet of Things Data Lake Strategy 52

IBM Big Data Hub

JULY 7, 2023

To comply with data protection regulations, highly regulated industries require organizations to maintain high data security. For instance, the California Privacy Rights Act (CPRA) protects the privacy rights of California consumers, and Health Insurance Portability and Accountability Act (HIPAA) applies to US healthcare organizations.

Risk 40

Risk Data Governance Data-driven Data Lake 40

Andrew White

JANUARY 11, 2021

Government, Finance, … Tough question…mostly as it’s hard to determine which industry due to different uses and needs of D&A. As such banking, finance, insurance and media are good examples of information-based industries compared to manufacturing, retail, and so on. Data lakes don’t offer this nor should they.

Data Analytics 52

Data Analytics Analytics Data-driven Finance 52

Corinium

APRIL 25, 2019

Ahead of the Chief Data Analytics Officers & Influencers, Insurance event we caught up with Dominic Sartorio, Senior Vice President for Products & Development, Protegrity to discuss how the industry is evolving. Are you seeing any specific issues around the insurance industry at the moment that should concern CDAOs?

Insurance 150

Insurance Risk IoT Data-driven 150

CIO Business Intelligence

MAY 24, 2022

Furthermore, all research data was made more easily available to a wider group of researchers, giving scientists the capability to deep dive on pharma analytics. . Insurance. New data scientists can then be onboarded more easily and efficiently. Oil and Gas.

Data-driven 98

Data-driven Data Lake Data Warehouse Machine Learning 98

AWS Big Data

MARCH 13, 2025

Open source Pinot requires in-house expertise that can challenge well-established technical teams to provision hardware, configure environments, tune performance, maintain security, adhere to data governance requirements, manage software updates, and constantly monitor for system issues.

Management 91

Management Analytics OLAP Online Analytical Processing 91