erwin

JANUARY 17, 2020

Data models provide visualization, create additional metadata and standardize data design across the enterprise. Thanks to organizations like Amazon, Netflix and Uber, businesses have changed how they leverage their data and are transforming their business models to innovate – or risk becoming obsolete. SQL or NoSQL?

Data-driven 138

Data-driven Modeling Metadata Data Governance 138

Cloudera

MAY 22, 2018

With CDSW, organizations can research and experiment faster, deploy models easily and with confidence, as well as rely on the wider Cloudera platform to reduce the risks and costs of data science projects. This leads to wasted time and effort during research and collaboration or, worse, compliance risk.

Data Science 41

Data Science Snapshot Machine Learning Metadata 41

Alation

FEBRUARY 13, 2020

MunichRe’s data catalog sped the introduction of new, innovative data products to mitigate the risk of high impact crises caused by global warming. We saw this first-hand this fall on our 2018 MLDC World Tour that started at O’Reilly’s Strata New York conference. Subscribe to Alation's Blog.

Enterprise 52

Enterprise Data Lake Machine Learning Data-driven 52

IBM Big Data Hub

FEBRUARY 22, 2024

Defense leaders focused on operationalizing the responsible curation of AI must first agree upon a shared vocabulary—a common culture that guides safe, responsible use of AI—before they implement technological solutions and guardrails that mitigate risk. Designate accountable people to mitigate these risks.

Metadata 96

Metadata Measurement Risk Modeling 96

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. Newer types of fair and private models (e.g.,

Modeling 219

Modeling Machine Learning Predictive Modeling Consulting 219

Domino Data Lab

JULY 22, 2019

This blog post provides a concise session summary, a video, and a written transcript. The year 2018 was what Wall Street Journal called “ a global reckoning on data governance.” You see these drivers involving risk and cost, but also opportunity. Session Summary. It’s also a driver for data science.

Data Science 109

Data Science Machine Learning Data Governance Modeling 109

Alation

MARCH 21, 2023

What’s more, many companies struggle with rigid legacy technologies that increase the risk of a data breach. Otherwise, they risk a data privacy violation. So much is automatic — the metadata extraction, curation, labeling, query log ingestion, and building out the lineage — it’s a big help,” says Leonard Kowk, senior data analyst.

Data Analytics 52

Data Analytics Analytics Data-driven Big Data 52

erwin

MARCH 4, 2021

It is the foundation for regulatory compliance and de-risking operations for competitive differentiation and growth. 1 driver for data governance, it’s still a major factor – especially since the rollout of the European Union’s General Data Protection Regulation (GDPR) in 2018. While compliance is not the No.

Data Governance 122

Data Governance Digital Transformation Data-driven Cost-Benefit 122

Ontotext

DECEMBER 30, 2022

In 2019 the market for graph databases and knowledge graphs started heating up – appearing on Gartner’s hype curves in 2018. Metadata Studio – our new product for streamlining the development and operation of solutions involving text analysis. The last 3 years: Turn a boutique shop into scalable technology business.

Enterprise 52

Enterprise Sales Cost-Benefit Marketing 52

Cloudera

JANUARY 22, 2019

Cloudera enables high-value analytical use cases from the edge to AI including proactive and predictive maintenance, usage-based analytics for targeted communications, recommendation engines, Enterprise Risk Management, AML (Anti-Money Laundering), Fraud Detection/Prevention, Cybersecurity, and Machine Models.

Big Data 44

Big Data Data Lake Internet of Things Enterprise 44

Cloudera

FEBRUARY 11, 2019

Covering just one type of analytics and integrated with one or two other applications, organizations are still faced with a patchwork of siloed systems that each carry their own data, metadata, security, and governance. When GDPR became enforceable in May 2018 it was but the first in a global trend of data privacy and protection regulations.

Digital Transformation 57

Digital Transformation Data Governance Data Warehouse Data-driven 57

erwin

NOVEMBER 14, 2019

In fact, 98 percent of participants in erwin’s “ 2018 State of Data Governance Report ” consider data governance either “important” or “critically important” to their organizations. So it’s not surprising that the “2018 State of Data Governance Report” revealed regulatory compliance to be the leading driver in data governance adoption.

Data Governance 105

Data Governance Cost-Benefit Data-driven Metadata 105

Alation

APRIL 12, 2022

Between 2010 and 2018 the number of CDOs present in Fortune 1500 companies increased nearly 8-fold. On the other, a data free-for-all creates risk—not only of data leaks with regulatory penalties, but also of inefficiency, as the same work and assets may be duplicated across the organization. Subscribe to Alation's Blog.

Data Quality 52

Data Quality Data Governance Metrics Data Strategy 52

erwin

NOVEMBER 14, 2019

In fact, 98 percent of participants in erwin’s “ 2018 State of Data Governance Report ” consider data governance either “important” or “critically important” to their organizations. So it’s not surprising that the “2018 State of Data Governance Report” revealed regulatory compliance to be the leading driver in data governance adoption.

Data Governance 40

Data Governance Cost-Benefit Data-driven Metadata 40