Data Science 101

DECEMBER 11, 2019

This weeks guest post comes from KDD (Knowledge Discovery and Data Mining). Every year they host an excellent and influential conference focusing on many areas of data science. Honestly, KDD has been promoting data science way before data science was even cool. 1989 to be exact. The details are below.

KDD 81

KDD Knowledge Discovery Data mining Statistics 81

IBM Big Data Hub

APRIL 15, 2024

Additionally, these accelerators are pre-integrated with various cloud AI services and recommend the best LLM (large language model) for their domain. IBM developed an AI-powered Knowledge Discovery system that use generative AI to unlock new insights and accelerate data-driven decisions with contextualized industrial data.

Manufacturing 103

Manufacturing Contextual Data Knowledge Discovery Data Lake 103

Ontotext

FEBRUARY 19, 2020

Yet, the concept of knowledge graphs still lives without an agreed-upon description or shared understanding. The W3C has dedicated a special workshop to talk through the different approaches to building these big data structures. Ontotext’s 10 Steps of Crafting a Knowledge Graph With Semantic Data Modeling.

Modeling 90

Modeling Knowledge Discovery Data Quality Visualization 90

Domino Data Lab

JUNE 15, 2021

Over the next decade, the companies that will beat competitors will be “model-driven” businesses. These companies often undertake large data science efforts in order to shift from “data-driven” to “model-driven” operations, and to provide model-underpinned insights to the business. anomaly detection).

Modeling 69

Modeling Data Science Data-driven Data Warehouse 69

Ontotext

AUGUST 22, 2023

The age of Big Data inevitably brought computationally intensive problems to the enterprise. Central to today’s efficient business operations are the activities of data capturing and storage, search, sharing, and data analytics. As a result, organizations have spent untold money and time gathering and integrating data.

Metadata 52

Metadata Knowledge Discovery Big Data Enterprise 52

Rocket-Powered Data Science

JULY 6, 2021

Techniques that both enable (contribute to) and benefit from smart content are content discovery, machine learning, knowledge graphs, semantic linked data, semantic data integration, knowledge discovery, and knowledge management.

Strategy 266

Strategy Machine Learning Metadata Knowledge Discovery 266

FineReport

DECEMBER 19, 2019

For super rookies, the first task is to understand what data analysis is. Data analysis is a type of knowledge discovery that gains insights from data and drives business decisions. One is how to gain insights from the data. Data is cold and can’t speak. From Google. There are two points here.

Knowledge Discovery 98

Knowledge Discovery Visualization Experimentation Reporting 98