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

Perhaps even more alarming: fewer than 33% expect to exceed their returns on investment for data analytics within the next two years. Gartner further estimates that 60 to 85% of organizations fail in their big data analytics strategies annually (1). Roadblock #3: Silos Breed Misunderstanding.

Data Governance 96

Data Governance Data Quality Data Silos Analytics 96

phData

AUGUST 11, 2023

Assistance Publique-Hôpitaux de Paris (AP-HP) uses these data analytics models to predict how many patients will visit them each month as outpatients and for emergency reasons. Data engineering in research helped to study vaccines better. Norway is also making use of big data analytics to keep track of national health trends.

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

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