Analysts Corner

MARCH 7, 2023

In this article, we will explore what machine learning and data science are, and how they are used in the context of business analytics. Machine learning is a subset of artificial intelligence that enables computers to learn from data without being explicitly programmed. What is machine learning?

Supply Chain 130

Supply Chain Artificial Intelligence Data Visualization Logistics 130

Smart Data Collective

NOVEMBER 24, 2020

Augmented analytics uses artificial intelligence to process data and prepare insights based on them. It allows feeding on more data, simplifying reporting and sharing and eliminating the unnecessary steps to get the feedback. Also, timely insights into inventory will help to improve supply chain decisions.

Business Intelligence 326

Business Intelligence Business Intelligence Supply Chain Data Governance 326

Astera

APRIL 28, 2023

Data management can be a daunting task, requiring significant time and resources to collect, process, and analyze large volumes of information. AI is a powerful tool that goes beyond traditional data analytics. Smart Data Modeling Another trend in data warehousing is the use of AI-powered tools for smart data modeling.

E-Commerce 40

E-Commerce Supply Chain Artificial Intelligence Data Warehouse 40

BizAcuity

MARCH 31, 2022

AI in Supply chain and Logistics. With the massive influx of big data, several businesses use AI platforms to help save costs in a number of ways including automating certain procedures, speeding up key activities among others. Enterprise Artificial Intelligence. Artificial Intelligence Analytics.

Artificial Intelligence 130

Artificial Intelligence Data Analytics Data Analytics Predictive Analytics 130

Astera

MAY 31, 2024

On the other hand, Data Science is a broader field that includes data analytics and other techniques like machine learning, artificial intelligence (AI), and deep learning. It involves visualizing the data using plots and charts to identify patterns, trends, and relationships between variables.

Data Analytics 52

Data Analytics Data Analytics Data Warehouse Healthcare 52

Astera

MAY 30, 2024

The process involves examining extensive data sets to uncover hidden patterns, correlations, and other insights. With today’s technology, data analytics can go beyond traditional analysis, incorporating artificial intelligence (AI) and machine learning (ML) algorithms that help process information faster than manual methods.

Data Analytics 52

Data Analytics Data Analytics Data Mining Supply Chain 52

Sisense

MAY 11, 2021

You can’t talk about data analytics without talking about data modeling. The reasons for this are simple: Before you can start analyzing data, huge datasets like data lakes must be modeled or transformed to be usable. Building the right data model is an important part of your data strategy.

Data Modelling 84

Data Modelling Big Data Data Analytics Data Analytics 84