Smart Data Collective

MAY 8, 2022

Big data, analytics, and AI all have a relationship with each other. For example, big data analytics leverages AI for enhanced data analysis. In contrast, AI needs a large amount of data to improve the decision-making process. What is the relationship between big data analytics and AI?

Big Data 122

Big Data Data Analytics Analytics Statistics 122

Smart Data Collective

MAY 15, 2019

Big data has created both positive and negative impacts on digital technology. On the one hand, big data technology has made it easier for companies to serve their customers. Big data has created a number of security risks for Bluetooth users. Bluetooth Security Risks in the Age of Big Data.

Big Data 106

Big Data Risk Measurement Data mining 106

IBM Big Data Hub

AUGUST 15, 2022

To help data scientists reflect and identify possible ethical concerns the standard process for data mining should include 3 additional steps: data risk assessment, model risk assessment and production monitoring. Data risk assessment. Model risk management.

Data mining 60

Data mining Risk Modeling Risk Management 60

datapine

MARCH 31, 2022

BI Data Scientist. A data scientist has a similar role as the BI analyst, however, they do different things. While analysts focus on historical data to understand current business performance, scientists focus more on data modeling and prescriptive analysis. SAS BI: SAS can be considered the “mother” of all BI tools.

Business Intelligence 239

Business Intelligence Statistics Visualization Data-driven 239

CIO Business Intelligence

MARCH 24, 2023

A framework for managing data 10 master data management certifications that will pay off Big Data, Data and Information Security, Data Integration, Data Management, Data Mining, Data Science, IT Governance, IT Governance Frameworks, Master Data Management

Data Governance 142

Data Governance Management Metadata Data Quality 142

Smart Data Collective

SEPTEMBER 21, 2022

As far as Data Analysis is concerned, potential employees should have an extensive knowledge of quantitative research, quantitative reporting, compiling statistics, statistical analysis, data mining, and big data.

Statistics 103

Statistics Data mining Marketing Software 103

CIO Business Intelligence

MARCH 13, 2024

Altrettanto importante (e forse più trascurata) è la questione dei big data che servono per addestrare i modelli e il costo connesso. Tuttavia, in generale, se l’IA ha lavorato sui big data è difficile che il risultato non sia affidabile”.

Machine Learning 105

Machine Learning Deep Learning Big Data Testing 105