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

IBM Big Data Hub

FEBRUARY 14, 2024

But right now, pure AI can be programmed for many tasks that require thought and intelligence , as long as that intelligence can be gathered digitally and used to train an AI system. Generative AI can produce high-quality text, images and other content based on the data used for training.

Retail 82

Retail Artificial Intelligence Unstructured data Insurance 82

IBM Big Data Hub

JULY 6, 2023

It uses advanced tools to look at raw data, gather a data set, process it, and develop insights to create meaning. Areas making up the data science field include mining, statistics, data analytics, data modeling, machine learning modeling and programming.

Data science 54

Data science Big data Analytics Mining 54

IBM Big Data Hub

SEPTEMBER 7, 2023

And just as granite is a strong, multipurpose material with many uses in construction and manufacturing, so we at IBM believe these Granite models will deliver enduring value to your business. The Granite family of models is no different, and so we trained them on a variety of datasets — totaling 7 TB before pre-processing, 2.4

Artificial Intelligence 101

Artificial Intelligence Unstructured data Risk Compliance 101

IBM Big Data Hub

AUGUST 1, 2023

Foundation models: The driving force behind generative AI Also known as a transformer, a foundation model is an AI algorithm trained on vast amounts of broad data. A specific kind of foundation model known as a large language model (LLM) is trained on vast amounts of text data for NLP tasks. All watsonx.ai

Artificial Intelligence 55

Artificial Intelligence Marketing Unstructured data Manufacturing 55

Reltio

JANUARY 28, 2021

The best practice to combine different types of master data goes far beyond your internal data sets. Using data to win in your market means using data that your competitors can’t access, like your business’ unique Big Data, IoT, and unstructured data in videos, chats, and audio.

MDM 98

MDM Customer Experience Marketing Government 98