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. With all the hype around AI, it can be tempting to jump into use cases involving data types with which you aren’t familiar. Source: O'Reilly.

Machine Learning 234

Machine Learning Technology Deep Learning Data Science 234

Domino Data Lab

APRIL 3, 2019

It includes perspectives about current issues, themes, vendors, and products for data governance. My interest in data governance (DG) began with the recent industry surveys by O’Reilly Media about enterprise adoption of “ABC” (AI, Big Data, Cloud). More Policies Emerged” (2010-2018). a second priority?at

Data Governance 84

Data Governance Machine Learning Metadata Big Data 84

Cloudera

MAY 22, 2018

Cloudera Data Science Workbench (CDSW) makes secure, collaborative data science at scale a reality for the enterprise and accelerates the delivery of new data products. This leads to wasted time and effort during research and collaboration or, worse, compliance risk. for the Oracle Big Data Appliance).

Data Science 41

Data Science Snapshot Machine Learning Metadata 41

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

AUGUST 8, 2019

I mention this here because there was a lot of overlap between current industry data governance needs and what the scientific community is working toward for scholarly infrastructure. The gist is, leveraging metadata about research datasets, projects, publications, etc., 2018 – Global reckoning about data governance, aka “Oops!…We

Data Science 71

Data Science Machine Learning Data Governance Statistics 71

Alation

FEBRUARY 13, 2020

At Alation, we’ve seen triple digit revenue growth and added new customers like Daimler, Fox Networks, and Hilton Hotels to the growing list of brands in production with the Alation Data Catalog. When we started Alation six years ago, we saw a data landscape in desperate need of an access point.

Enterprise 52

Enterprise Data Lake Machine Learning Data-driven 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. The problem is only amplified as organizations start leveraging cloud and transient workloads.

Digital Transformation 57

Digital Transformation Data Governance Data Warehouse Data-driven 57

Domino Data Lab

JULY 22, 2019

By virtue of that, if you take those log files of customers interactions, you aggregate them, then you take that aggregated data, run machine learning models on them, you can produce data products that you feed back into your web apps, and then you get this kind of effect in business. That was the origin of big data.

Data Science 109

Data Science Machine Learning Data Governance Modeling 109