ODSC - Open Data Science

APRIL 28, 2023

As critical data flows across an organization from various business applications, data silos become a big issue. The data silos, missing data, and errors make data management tedious and time-consuming, and they’re barriers to ensuring the accuracy and consistency of your data before it is usable by AI/ML.

ML 98

ML ML Data Silos Data Quality 98

Smart Data Collective

OCTOBER 20, 2021

For people striving to rule the data integration and data management world, it should not be a surprise that companies are facing difficulty in accessing and integrating data across system or application data silos. Not only will this increase the speed but also the accuracy of the data mapping process.

ML 133

ML ML Big Data Big Data 133

ML @ CMU

MAY 12, 2023

Unfortunately, while this data contains a wealth of useful information for disease forecasting, the data itself may be highly sensitive and stored in disparate locations (e.g., In this post we discuss our research on federated learning , which aims to tackle this challenge by performing decentralized learning across private data silos.

Data Silos 130

Data Silos Algorithm ML ML 130

DrivenData Labs

MARCH 30, 2023

Modeling ¶ Most teams experimented with a variety of modeling algorithms, and many noted that the privacy techniques in their solutions could be paired with more than one family of machine learning models. We are excited to take on this challenge and continue pushing the boundaries of machine learning research.

Machine Learning 162

Machine Learning Machine Learning Data Science Algorithm 162

Pickl AI

DECEMBER 4, 2023

So, what is Data Intelligence with an example? For example, an e-commerce company uses Data Intelligence to analyze customer behavior on their website. Through advanced analytics and Machine Learning algorithms, they identify patterns such as popular products, peak shopping times, and customer preferences.

Data Analysis 52

Data Analysis Data Analysis Artificial Intelligence Artificial Intelligence 52

Pickl AI

SEPTEMBER 12, 2024

Introduction Machine Learning has evolved significantly, from basic algorithms to advanced models that drive today’s AI innovations. A key advancement is Federated Learning, which enhances privacy and efficiency by training models across decentralised devices.

Machine Learning 52

Machine Learning Machine Learning Clustering Algorithm 52

Flipboard

FEBRUARY 12, 2025

This means figuring out the best result out of many possible outcomes, which is almost impossible to hardcode in an RPA algorithm with classical automation methods. Agents will be more adaptable and robust than conventional robotic process automation (RPA) for longtail and highly extensive tasks.

AI 65

AI AI Data Silos Artificial Intelligence 65