Smart Data Collective

SEPTEMBER 16, 2020

Predictive analytics, sometimes referred to as big data analytics, relies on aspects of data mining as well as algorithms to develop predictive models. The applications of predictive analytics are extensive and often require four key components to maintain effectiveness. Data Sourcing.

Predictive Analytics 139

Predictive Analytics Analytics Analytics Decision Trees 139

Data Science Dojo

FEBRUARY 13, 2025

The notable features of the IEEE conference are: Cutting-Edge AI Research & Innovations Gain exclusive insights into the latest breakthroughs in artificial intelligence, including advancements in deep learning, NLP, and AI-driven automation. Thats exactly what AI & Big Data Expo 2025 delivers!

AI 250

AI Big Data Big Data AI 250

Dataconomy

JULY 14, 2017

The creation and consumption of data continues to rapidly grow around the globe with large investment in big data analytics hardware, software, and services. The availability of large data sets is one of the core reasons that Deep Learning, a sub-set of artificial intelligence (AI), has recently emerged as the hottest.

Big Data 191

Big Data Big Data Big Data Analytics Big Data Analytics 191

Smart Data Collective

OCTOBER 13, 2021

As we have already said, the challenge for companies is to extract value from data, and to do so it is necessary to have the best visualization tools. Over time, it is true that artificial intelligence and deep learning models will be help process these massive amounts of data (in fact, this is already being done in some fields).

Data Visualization 145

Data Visualization Big Data Big Data Predictive Analytics 145

Heartbeat

OCTOBER 23, 2023

These professionals apply their expertise to analyze large and complex healthcare datasets, extract meaningful insights, build predictive models, and create innovative solutions that drive evidence-based decision-making and enhance patient outcomes. Another notable application is predictive analytics in healthcare.

Machine Learning 52

Machine Learning Machine Learning Data Scientist Big Data Analytics 52

IBM Journey to AI blog

JULY 6, 2023

One ride-hailing transportation company uses big data analytics to predict supply and demand, so they can have drivers at the most popular locations in real time. The company also uses data science in forecasting, global intelligence, mapping, pricing and other business decisions.

Machine Learning 70

Machine Learning Machine Learning Data Science Big Data 70

Pickl AI

JULY 20, 2023

Root cause analysis is a typical diagnostic analytics task. 3. Predictive Analytics Projects: Predictive analytics involves using historical data to predict future events or outcomes. Here are some project ideas suitable for students interested in big data analytics with Python: 1.

Analytics 40

Analytics Analytics Big Data Big Data 40