Cloudera

MARCH 3, 2022

stemmed from a 2018 data breach, when the global hotel chain’s 339 million customers’ data was exposed. Data analytics and machine learning can become a business and a compliance risk if data security, governance, lineage, metadata management, and automation are not holistically applied across the entire data lifecycle and all environments.

Data Governance 100

Data Governance Enterprise Data Quality Metadata 100

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

Octopai

JANUARY 25, 2021

The cost of data breaches in 2019 was 87% higher than in 2018 , with the number rising each year. With such sensitive information at risk, the federal government passed the Health Insurance Portability and Accountability Act (HIPAA). This is especially helpful for healthcare providers using multiple business intelligence (BI) systems.

Insurance 52

Insurance Metadata Statistics Reporting 52

Domino Data Lab

APRIL 3, 2019

That’s a lot of priorities – especially when you group together closely related items such as data lineage and metadata management which rank nearby. So this month let’s explore these themes: 2018 represented a flashpoint for DG fails, prompting headlines worldwide and resulting in much-renewed interest in the field. a second priority?at

Data Governance 84

Data Governance Machine Learning Metadata Big Data 84

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.

Enterprise 52

Enterprise Data Lake Machine Learning Data-driven 52

Domino Data Lab

JULY 2, 2019

In other words, using metadata about data science work to generate code. One of the longer-term trends that we’re seeing with Airflow , and so on, is to externalize graph-based metadata and leverage it beyond the lifecycle of a single SQL query, making our workflows smarter and more robust. BTW, videos for Rev2 are up: [link].

Metadata 105

Metadata Machine Learning Data Science Data-driven 105

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 92

Metadata Measurement Risk Modeling 92

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. DZone (2018). Machine Learning 81.2

Modeling 227

Modeling Machine Learning Predictive Modeling Consulting 227

Domino Data Lab

JULY 22, 2019

The year 2018 was what Wall Street Journal called “ a global reckoning on data governance.” ” If you don’t know, there were hundreds of millions of people affected worldwide during 2018 with security breaches and then data privacy leakage. You see these drivers involving risk and cost, but also opportunity.

Data Science 109

Data Science Machine Learning Data Governance Modeling 109

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

Domino Data Lab

AUGUST 8, 2019

The gist is, leveraging metadata about research datasets, projects, publications, etc., 2018 – Global reckoning about data governance, aka “Oops!…We The probabilistic nature changes the risks and process required. then building machine learning models to recommend methods and potential collaborators to scientists.

Data Science 71

Data Science Machine Learning Data Governance Statistics 71

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

Octopai

JANUARY 19, 2021

Octopai can fully map the BI landscape and trace metadata movement in a mixed environment including complex multi-vendor landscapes. The company was recognized as a Gartner Cool Vendor for Data Science and Machine Learning in 2018 and their investors include North First Ventures, Gefen Capital and iAngels.

Metadata 52

Metadata ROI Optimization Data Quality 52

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

Jet Global

MAY 27, 2021

However, fear of the unknown has left many companies afraid to implement a new reporting tool, yet the risk of staying with Discoverer increases day by day: Discoverer extended support ended June 2017. FireFox: September 2018. The longer you delay your move away from Discoverer, the greater the risk you’ll be left high and dry.

Reporting 52

Reporting Cost-Benefit Dashboards Finance 52

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

O'Reilly on Data

MAY 21, 2019

For example, in a July 2018 survey that drew more than 11,000 respondents, we found strong engagement among companies: 51% stated they already had machine learning models in production. Metadata and artifacts needed for audits. There are real, not just theoretical, risks and considerations. Managing risk in machine learning”.

Machine Learning 244

Machine Learning Technology Deep Learning Data Science 244

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

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.

Data Quality 52

Data Quality Data Governance Metrics Data Strategy 52