Smart Data Collective

AUGUST 11, 2022

Artificial Intelligence (AI) has significantly altered how work is done. Human labeling and data labeling are however important aspects of the AI function as they help to identify and convert raw data into a more meaningful form for AI and machine learning to learn. How Artificial Intelligence is Impacting Data Quality.

Artificial Intelligence 348

Artificial Intelligence Data Quality Digital Transformation Big Data 348

Astera

APRIL 28, 2023

With the ever-increasing volume of data generated and collected by companies, manual data management practices are no longer effective. This is where intelligent systems come in. Serving as a unified data management solution.

Data Management 93

Data Management Artificial Intelligence Predictive Analytics Data Quality 93

Business Analysis Hub

AUGUST 22, 2023

In today's digital age, Artificial Intelligence (AI) has emerged as a game-changer for businesses worldwide. An Overview of AI Strategies An AI strategy is a comprehensive plan that outlines how you will use artificial intelligence and its associated technologies to achieve your desired business objectives.

Artificial Intelligence 52

Artificial Intelligence Monitoring Customer Experience Customer Experience 52

Astera

AUGUST 15, 2024

It’s also more contextual than general data orchestration since it’s tied to the operational logic at the core of a specific pipeline. Since data pipeline orchestration executes an interconnected chain of events in a specific sequence, it caters to the unique data requirements a pipeline is designed to fulfill.

Data Quality 52

Data Quality Monitoring Artificial Intelligence Government 52

The BAWorld

NOVEMBER 22, 2021

Completeness is a data quality dimension and measures the existence of required data attributes in the source in data analytics terms, checks that the data includes what is expected and nothing is missing. Consistency is a data quality dimension and tells us how reliable the data is in data analytics terms.

Data Analytics 98

Data Analytics Data Analytics Data Warehouse Data Modelling 98

Astera

SEPTEMBER 20, 2023

Data Movement Data movement from source to destination, with minimal transformation. Data movement involves data transformation, cleansing, formatting, and standardization. Data Quality Consideration Emphasis is on data availability rather than extensive data quality checks.

Data Warehouse 52

Data Warehouse Data Quality Real-time Data E-Commerce 52

Astera

SEPTEMBER 20, 2023

Data Movement Data movement from source to destination, with minimal transformation. Data movement involves data transformation, cleansing, formatting, and standardization. Data Quality Consideration Emphasis is on data availability rather than extensive data quality checks.

Data Warehouse 52

Data Warehouse Data Quality Real-time Data E-Commerce 52