O'Reilly on Data

APRIL 23, 2024

Perhaps a more direct way to say this in the context of economic value creation is that companies such as Amazon and Google and Facebook had developed a set of remarkable advances in networked and data-enabled market coordination. But over time, something went very wrong. These companies did continue to innovate.

Advertising 270

Advertising Cost-Benefit Marketing Risk 270

DataKitchen

FEBRUARY 21, 2023

On 24 January 2023, Gartner released the article “ 5 Ways to Enhance Your Data Engineering Practices.” are more efficient in prioritizing data delivery demands.” Release New Data Engineering Work Often With Low Risk: “Testing and release processes are heavily manual tasks… automate these processes.”

Data-driven 130

Data-driven Testing Risk Cost-Benefit 130

AWS Big Data

NOVEMBER 29, 2023

These announcements drive forward the AWS Zero-ETL vision to unify all your data, enabling you to better maximize the value of your data with comprehensive analytics and ML capabilities, and innovate faster with secure data collaboration within and across organizations.

Data Warehouse 103

Data Warehouse Data Lake Analytics Machine Learning 103

Cloudera

FEBRUARY 15, 2024

While this might be a blast from the past we’d rather leave in the proverbial rear-view mirror, in March of 2023 we were back to the future with the collapse of Silicon Valley Bank (SVB), the largest US bank to fail since 2008. It’s hard to believe it’s been 15 years since the global financial crisis of 2007/2008.

Insurance 86

Insurance Data Architecture Risk Management Risk 86

DataKitchen

FEBRUARY 2, 2023

We’ve read many predictions for 2023 in the data field: they cover excellent topics like data mesh, observability, governance, lakehouses, LLMs, etc. What will the world of data tools be like at the end of 2025? ’ They are data enabling vs. value delivery. What will exist at the end of 2025?

Metadata 130

Metadata Testing Risk Data Science 130

AWS Big Data

MARCH 27, 2024

Achieving this will also improve general public health through better and more timely interventions, identify health risks through predictive analytics, and accelerate the research and development process.

Data Analytics 94

Data Analytics Analytics Data Warehouse Data Lake 94

IBM Big Data Hub

MAY 9, 2023

The answer is that generative AI leverages recent advances in foundation models. Unlike traditional ML, where each new use case requires a new model to be designed and built using specific data, foundation models are trained on large amounts of unlabeled data, which can then be adapted to new scenarios and business applications.

Data Warehouse 109

Data Warehouse Cost-Benefit Machine Learning Modeling 109