Dataconomy

OCTOBER 11, 2023

Delv AI: Pioneering AI solutions for data extraction Delv AI, at the core of this burgeoning firm, is on a quest to improve data extraction and say goodbye to data silos. Her interest in computer science grew after she relocated to Florida, United States, at the age of 11.

Data Silos 185

Data Silos AI AI Computer Science 185

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

Flipboard

JANUARY 7, 2025

Almost half of AI projects are doomed by poor data quality, inaccurate or incomplete data categorization, unstructured data, and data silos. Avoid these 5 mistakes

Data Silos 65

Data Silos Data Quality AI AI 65

AWS Machine Learning Blog

JANUARY 13, 2023

Analyzing real-world healthcare and life sciences (HCLS) data poses several practical challenges, such as distributed data silos, lack of sufficient data at any single site for rare events, regulatory guidelines that prohibit data sharing, infrastructure requirement, and cost incurred in creating a centralized data repository.

AWS 106

AWS Analytics Analytics Machine Learning 106

AWS Machine Learning Blog

MARCH 15, 2024

For more information, refer to Releasing FedLLM: Build Your Own Large Language Models on Proprietary Data using the FedML Platform. FedML Octopus System hierarchy and heterogeneity is a key challenge in real-life FL use cases, where different data silos may have different infrastructure with CPU and GPUs.

AWS 142

AWS ML ML Machine Learning 142

Becoming Human

MARCH 16, 2023

Data When it comes to AI, it always comes down to input data. Data silos and legacy systems that wouldn’t allow their consolidation are big hurdles to AI research in any domain. In the pharmaceutical industry, the problem may be even more pronounced.

AI 139

AI AI Deep Learning Deep Learning 139

DrivenData Labs

MARCH 30, 2023

Steven Wu is an Assistant Professor in the School of Computer Science at Carnegie Mellon University, with his primary appointment in the Software and Societal Systems Department, and affiliated appointments with the Machine Learning Department and the Human-Computer Interaction Institute.

Machine Learning 162

Machine Learning Machine Learning Data Science Algorithm 162