insideBIGDATA

JANUARY 26, 2024

In this contributed article, IT Professional Subhadip Kumar draws attention to the significant roadblock that data silos present in the realm of Big Data initiatives. In today's data-driven landscape, the seamless flow and integration of information are paramount for deriving meaningful insights.

Data Silos 448

Data Silos Big Data Big Data Big Data Analytics 448

Alation

OCTOBER 5, 2021

Why is your data governance strategy failing? According to the Gartner report, The State of Data and Analytics Governance Is Worse Than You Think , approximately 80% of businesses readily acknowledge that high-quality data governance is essential to achieving long-term business goals, objectives, and outcomes.

Data Governance 96

Data Governance Data Quality Data Silos Analytics 96

phData

AUGUST 11, 2023

Operational Efficiency and Resource Optimization Hospitals worldwide are shifting toward utilizing data to drive business decisions, reducing the risk of human error. Chinese hospitals are already using data engineering to manage their supply chains. Data engineering helps identify trends across multiple patients.

Data Engineer 52

Data Engineer Data Engineering Data Engineering Data Engineering 52

Pickl AI

JUNE 13, 2024

This can create data silos and hinder the flow of information within a healthcare organization. Big Data Analytics The ever-growing volume of healthcare data presents valuable insights. Additionally, training healthcare providers on how to use the system effectively adds to the overall cost.

Big Data Analytics 52

Big Data Analytics Big Data Analytics Big Data Big Data 52

IBM Journey to AI blog

SEPTEMBER 5, 2024

Value realization Good data governance aims to maximize the value of data as a strategic asset, enhancing decision-making, big data analytics , machine learning and artificial intelligence projects. Data quality tools Data quality tools assess, improve and maintain data quality within an organization.

Data Governance 75

Data Governance Data Quality DataOps Artificial Intelligence 75

Pickl AI

JULY 16, 2024

Understanding AIOps Think of AIOps as a multi-layered application of Big Data Analytics , AI, and ML specifically tailored for IT operations. Its primary goal is to automate routine tasks, identify patterns in IT data, and proactively address potential issues.

Machine Learning 52

Machine Learning Machine Learning ML ML 52