IBM Big Data Hub

SEPTEMBER 19, 2023

Though you may encounter the terms “data science” and “data analytics” being used interchangeably in conversations or online, they refer to two distinctly different concepts. Meanwhile, data analytics is the act of examining datasets to extract value and find answers to specific questions.

Data science 76

Data science Analytics Unstructured data Artificial Intelligence 76

Reltio

JULY 2, 2019

Martin Squires is a leader with extensive experience in customer insight, marketing analytics & data science. Selected for the last 5 years as a member of the Data IQ Data 100 , Martin has considerable experience helping organisations drive value from building a deeper understanding of their customers.

Analytics 58

Analytics Insurance Artificial Intelligence Data science 58

erwin

JUNE 11, 2020

What Is Data Intelligence? Data Intelligence is the analysis of multifaceted data to be used by companies to improve products and services offered and better support investments and business strategies in place. How Business Benefits from Data Intelligence. Apply real-time data in marketing strategies.

Analytics 103

Analytics Blockchain Artificial Intelligence Big data 103

IBM Big Data Hub

DECEMBER 20, 2023

ML is a computer science, data science and artificial intelligence (AI) subset that enables systems to learn and improve from data without additional programming interventions. In other words, ML leverages input data to predict outputs, continuously updating outputs as new data becomes available.

Retail 74

Retail Artificial Intelligence Data science Marketing 74

Reltio

DECEMBER 10, 2021

Reltio is a good fit for companies looking for a comprehensive, cloud-based MDM solution across multiple domains.”. “[ Reltio] leverages modern capabilities such as AI/ML, knowledge graph, and embedded analytics to support large and complex MDM deployments.”. Multiple Use Cases and Data Domains.

MDM 98

MDM Analytics Digital transformation Cloud 98

IBM Big Data Hub

OCTOBER 20, 2023

AI platforms offer a wide range of capabilities that can help organizations streamline operations, make data-driven decisions, deploy AI applications effectively and achieve competitive advantages. Visual modeling: Combine visual data science with open source libraries and notebook-based interfaces on a unified data and AI studio.

Data science 71

Data science Manufacturing Artificial Intelligence Retail 71

IBM Big Data Hub

SEPTEMBER 20, 2023

Another key vector is the increasing importance of computing at the enterprise edge, such as industrial locations, manufacturing floors, retail stores, telco edge sites, etc. More specifically, AI at the enterprise edge enables the processing of data where work is being performed for near real-time analysis.

Cloud 83

Cloud Data science Artificial Intelligence Analytics 83