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 244

Machine Learning Technology Deep Learning Data Science 244

AWS Big Data

FEBRUARY 1, 2024

The Common Crawl corpus contains petabytes of data, regularly collected since 2008, and contains raw webpage data, metadata extracts, and text extracts. In addition to determining which dataset should be used, cleansing and processing the data to the fine-tuning’s specific need is required.

Metadata 96

Metadata Modeling Data Processing Unstructured Data 96

Cloudera

MAY 22, 2018

With Models, data scientists can simply select a Python or R function within a project file, and Cloudera Data Science Workbench will: create a snapshot of model code, saved model parameters, and dependencies. save the built model container, along with metadata like who built or deployed it. Cloudera Data Science Workbench 1.4.x

Data Science 41

Data Science Snapshot Machine Learning Metadata 41

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

O'Reilly on Data

MARCH 20, 2019

Applying data integrity constraints on live, incoming data streams could have the same benefits. Version control: Production model scoring code should be managed and version-controlled—just like any other mission-critical software asset. Distributed systems and models : For better or worse, we live in the age of big data.

Modeling 227

Modeling Machine Learning Predictive Modeling Consulting 227

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. This past year, all of that changed.

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. A single platform with consistent context suits them to a tee, from a data perspective.

Digital Transformation 57

Digital Transformation Data Governance Data Warehouse Data-driven 57

Domino Data Lab

JULY 22, 2019

It involved a lot of interesting work on something new that was data management. I recently did “ Fifty Years of Data Management and Beyond ” which looks at roughly the same time period. Then in the bottom tier, you had your data management, your back office, right?

Data Science 109

Data Science Machine Learning Data Governance Modeling 109

Alation

MARCH 21, 2023

Today, modern travel and tourism thrive on data. For example, airlines have historically applied analytics to revenue management, while successful hospitality leaders make data-driven decisions around property allocation and workforce management. What is big data in the travel and tourism industry?

Data Analytics 52

Data Analytics Analytics Data-driven Big Data 52

IBM Big Data Hub

FEBRUARY 22, 2024

This must be communicated from the outset, and there must be a recognition of the practices, skill sets and thoughtfulness that need to be put into models and their management to monitor performance. The method merges best practices in data science, project management, design frameworks and AI governance. They must have power.

Metadata 92

Metadata Measurement Risk Modeling 92

Alation

FEBRUARY 13, 2020

billion merger of Cloudera and Hortonworks, the widely scrutinized GDPR (General Data Protection Regulation), or the Cambridge Analytica scandal that rocked Facebook. Amid the headline grabbing news, 2018 will also be remembered as the year of the data catalog. Gartner: Magic Quadrant for Metadata Management Solutions.

Metadata 52

Metadata Machine Learning Data Governance Reporting 52

Alation

FEBRUARY 20, 2020

After a blockbuster premiere at the Strata Data Conference in New York, the tour will take us to six different states and across the pond to London. Data Catalogs Are the New Black. Gartner’s report, Data Catalogs Are the New Black in Data Management and Analytics , inspired our new penchant for the color black.

Machine Learning 52

Machine Learning Metadata Reporting Data-driven 52