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. Without big data in predictive analytics, these descriptive models can’t offer a competitive advantage or negotiate future outcomes.

Predictive Analytics 121

Predictive Analytics Analytics Predictive Modeling Data mining 121

Paul Blogs on BI

MARCH 25, 2020

A few years ago, when the BI world was obsessed with Big Data, I started many of my BI presentations with the following formula: BIG DATA + BAD DATA = BIG BAD DATA. The COVID-19 situation needs a new formula: MISSING DATA + GOOD DATA = MISSING GOOD DATA.

Business Intelligence 51

Business Intelligence Measurement Metrics Cost-Benefit 51

AWS Big Data

MARCH 7, 2023

This post also discusses the art of the possible with newer innovations in AWS services around streaming, machine learning (ML), data sharing, and serverless capabilities. User to user interactions – Invitations, gifting, chats (private and group), challenges, and so on during an event.

Analytics 72

Analytics Data Warehouse Data Lake Metadata 72

IBM Big Data Hub

APRIL 5, 2024

Asset health monitoring defines asset health indexes to rank the asset conditions based on degradation models, failures, overdue preventive work and any other relevant parameters that reflect the health of the assets. Predict functionality builds predictive models to predict imminent failures and calculate assets’ remaining useful life.

Management 65

Management Risk Optimization Predictive Modeling 65

Rocket-Powered Data Science

JULY 6, 2021

Customer purchase patterns, supply chain, inventory, and logistics represent just a few domains where we see new and emergent behaviors, responses, and outcomes represented in our data and in our predictive models. The key difference is this: monitoring is what you do, and observability is why you do it.

Machine Learning 279

Machine Learning Data-driven IoT Deep Learning 279