Dataconomy

MARCH 17, 2025

Augmented analytics is revolutionizing how organizations interact with their data. By harnessing the power of machine learning (ML) and natural language processing (NLP), businesses can streamline their data analysis processes and make more informed decisions. What is augmented analytics?

Augmented Analytics 91

Augmented Analytics Analytics Analytics Natural Language Processing 91

Dataversity

JULY 21, 2022

Despite its many benefits, the emergence of high-performance machine learning systems for augmented analytics over the last 10 years has led to a growing “plug-and-play” analytical culture, where high volumes of opaque data are thrown arbitrarily at an algorithm until it yields useful business intelligence.

Machine Learning 98

Machine Learning Machine Learning Augmented Analytics Business Intelligence 98

Dataconomy

SEPTEMBER 4, 2023

Predictive analytics: Predictive analytics leverages historical data and statistical algorithms to make predictions about future events or trends. For example, predictive analytics can be used in financial institutions to predict customer default rates or in e-commerce to forecast product demand.

Analytics 203

Analytics Analytics Big Data Analytics Big Data Analytics 203

DataRobot Blog

APRIL 1, 2018

In Rita Sallam’s July 27 research, Augmented Analytics , she writes that “the rise of self-service visual-bases data discovery stimulated the first wave of transition from centrally provisioned traditional BI to decentralized data discovery.” 2) Line of business is taking a more active role in data projects.

Analytics 40

Analytics Analytics Data Preparation Augmented Analytics 40

Pickl AI

MARCH 10, 2023

Data Pre-processing is a necessary Data Science process because it helps improve the accuracy and reliability of data. Furthermore, it ensures that data is consistent while effectively increasing the readability of the data’s algorithm.

Data Scientist 52

Data Scientist Data Science Apache Hadoop Machine Learning 52