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

Alation

MARCH 21, 2023

While this industry has used data and analytics for a long time, many large travel organizations still struggle with data silos , which prevent them from gaining the most value from their data. What is big data in the travel and tourism industry?

Analytics 52

Analytics Analytics Data Silos Big Data 52

Alation

APRIL 12, 2022

Two decades on, the role has expanded to include responsibility for analytics, and even data monetization. Between 2010 and 2018 the number of CDOs present in Fortune 1500 companies increased nearly 8-fold. Today, the modern CDO drives the data strategy for the entire organization. Reducing Data Silos.

Data Quality 52

Data Quality Data Governance Data Silos Analytics 52

Precisely

JANUARY 25, 2023

It explores the benefits of investing in a proactive approach toward improving data integrity checks, along with some real-world examples that illustrate the business value of such an approach. Specifically, it said that “the [data management] methodology should ensure that the relationships are viewed holistically across lines of business.”

Data Quality 52

Data Quality Machine Learning Machine Learning Data Silos 52

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 a single site for rare events, regulatory guidelines that prohibit data sharing, infrastructure requirement, and cost incurred in creating a centralized data repository.

AWS 97

AWS Analytics Analytics Machine Learning 97

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

Cambridge Intelligence

JUNE 21, 2023

Core4ce Cyberscape: unmasking cyber threats Since 2018, Core4ce’s team of data scientists, engineers, and cyber experts has helped the US federal government solve complex challenges with data. Bridging data silos Once we have our seed nodes on the chart, we start enriching them.

Data Silos 52

Data Silos Data Scientist Database Algorithm 52