IBM Data Science in Practice

NOVEMBER 28, 2022

How can organizations get a holistic view of data when it’s distributed across data silos? Implementing a data fabric architecture is the answer. What is a data fabric? The concept was first introduced back in 2016 but has gained more attention in the past few years as the amount of data has grown.

Data Pipeline 130

Data Pipeline Data Quality Data Preparation Data Governance 130

Alation

MARCH 28, 2023

These cover managing and protecting cloud data, migrating it securely to the cloud, and harnessing automation and technology for optimised data management. Central to this is a uniform technology architecture, where individuals can access and interpret data for organisational benefit.

Data Silos 52

Data Silos Cloud Data Data Quality Data Governance 52

Alation

FEBRUARY 1, 2022

And those who practice these “old school” governance methods have little confidence in their efficacy: 73% of Ventana research participants stated that spreadsheets were a data governance concern for their organization, while 59% viewed incompatible tools as the top barrier to a single source of truth. And it’s growing in popularity.

Data Lakes 52

Data Lakes Data Governance ML ML 52

DrivenData Labs

MARCH 30, 2023

Our framework involves three key components: (1) model personalization for capturing data heterogeneity across data silos, (2) local noisy gradient descent for silo-specific, node-level differential privacy in contact graphs, and (3) model mean-regularization to balance privacy-heterogeneity trade-offs and minimize the loss of accuracy.

Machine Learning 162

Machine Learning Machine Learning Data Science Algorithm 162

Mlearning.ai

SEPTEMBER 4, 2023

Given that many enterprises store significant amounts of data in traditional data centers and on-site and often face issues like data silos, it could be more practical to keep generative technology closer to this data. After all, moving a pretrained model is often easier than transferring large datasets.

AI 52

AI AI Azure Machine Learning 52

DrivenData Labs

SEPTEMBER 10, 2024

The Mex-Cog 2016 and 2021 studies are an in-depth cognitive assessment applied to a subsample of age 55 and older from MHAS 2015 and MHAS 2018. Dr. Reid also teaches Data Science at the University of California at Berkeley. MHAS is a national sample of adults aged 50 and over in Mexico from a broad socioeconomic perspective.

Machine Learning 147

Machine Learning Machine Learning Computer Science Computer Science 147