Cloudera

FEBRUARY 15, 2024

Financial institutions must demonstrate robust risk accountability and governance, as well as maintain consumer protections. Cultural shift and technology adoption: Traditional banks and insurance companies must adapt to the emergence of fintech firms and changing business models.

Insurance 84

Insurance Data Architecture Risk Management Risk 84

DataKitchen

FEBRUARY 2, 2023

A combined, interoperable suite of tools for data team productivity, governance, and security for large and small data teams. Central IT Data Teams focus on standards, compliance, and cost reduction. ’ They are data enabling vs. value delivery. These teams are the hub, helping to enable many spokes.

Metadata 130

Metadata Testing Risk Data Science 130

erwin

APRIL 18, 2019

Data governance , thankfully, provides a framework for compliance with either or both – in addition to other regulatory mandates your organization may be subject to. Data Governance for Regulatory Compliance. Regulatory compliance remains a key driver for data governance. A Regulatory EDGE.

Data Governance 81

Data Governance Metadata Data-driven Data Collection 81

Cloudera

OCTOBER 19, 2023

Large 5G networks will host tens of millions of connected devices (somewhere in the 1,000x capacity compared to 4G), each instrumented to generate telemetry data, giving telcos the ability to model and simulate operations at a level of detail previously impossible.

Data-driven 73

Data-driven Data Architecture Predictive Modeling Digital Transformation 73

Smart Data Collective

OCTOBER 17, 2022

zettabytes of data in 2020, a tenfold increase from 6.5 While growing data enables companies to set baselines, benchmarks, and targets to keep moving ahead, it poses a question as to what actually causes it and what it means to your organization’s engineering team efficiency. Data pipeline maintenance. Poor performance.

Big Data 103

Big Data Data-driven Recreation/Entertainment Data Governance 103

IBM Big Data Hub

OCTOBER 20, 2023

Artificial intelligence platforms enable individuals to create, evaluate, implement and update machine learning (ML) and deep learning models in a more scalable way. AI platform tools enable knowledge workers to analyze data, formulate predictions and execute tasks with greater speed and precision than they can manually.

Machine Learning 78

Machine Learning Manufacturing Cost-Benefit Deep Learning 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.

Data Analytics 94

Data Analytics Analytics Data Warehouse Data Lake 94

Smart Data Collective

AUGUST 14, 2019

Healthcare organizations are using predictive analytics , machine learning, and AI to improve patient outcomes, yield more accurate diagnoses and find more cost-effective operating models. The field of big data is going to have massive implications for healthcare in the future. Big Data is Driving Massive Changes in Healthcare.

Big Data 78

Big Data Data Analytics Analytics Internet of Things 78

Grooper

AUGUST 19, 2019

Connect the Dots Between Data Literacy, ISL, and the Requirements List. Data literacy is solved by a structured program of learning information as a second language (ISL). ISL eliminates data literacy by modeling the way we learn spoken language. Master data management. Data governance. Primary keys.

Analytics 54

Analytics Machine Learning Data Science Data-driven 54

Alation

FEBRUARY 20, 2020

One reason is because traditional data governance models conform to an old world of analytics that focus on controlling data access and fail to succeed in the free-flowing world of self-service reporting, BI, and analytics. How Data Catalogs Can Help. [2] -->.

Data Governance 52

Data Governance Data Lake Dashboards Big Data 52

Alation

JUNE 1, 2023

So it’s fitting that Snowflake Summit , the premier event for data cloud strategy, will occur at Caesars Forum in Las Vegas on June 26–29 (togas not required). As a 2-time Snowflake Data Governance Partner of the Year , Alation knows how important this event is to the Snowflake community. The data governance team’s solution?

Metadata 52

Metadata Data Governance Data-driven Recreation/Entertainment 52

Alation

FEBRUARY 20, 2020

And, now she sees a need to make data more accessible: For EA professionals, relying on people and manual processes to provision, manage, and govern data simply does not scale. But as the category gains greater recognition, more companies are building data catalog solutions. A New Market Category.

Machine Learning 52

Machine Learning Marketing Reporting ROI 52

erwin

JULY 17, 2019

Part Two of the Digital Transformation Journey … In our last blog on driving digital transformation , we explored how enterprise architecture (EA) and business process (BP) modeling are pivotal factors in a viable digital transformation strategy. Constructing A Digital Transformation Strategy: Data Enablement.

Digital Transformation 98

Digital Transformation Strategy Metadata Data-driven 98

Andrew White

JANUARY 11, 2021

Where does the Data Architect role fits in the Operational Model ? Assuming a data architect helps model and guide and assist D&A then they play a key role. This would be part of a Data Literacy program. Decision modeling (one of my favorites). And not just for synthetic data techniques.

Data Analytics 52

Data Analytics Analytics Data-driven Finance 52