IBM Big Data Hub

AUGUST 11, 2023

Because ML is becoming more integrated into daily business operations, data science teams are looking for faster, more efficient ways to manage ML initiatives, increase model accuracy and gain deeper insights. MLOps is the next evolution of data analysis and deep learning. How MLOps will be used within the organization.

Data science 56

Data science Artificial Intelligence Paper Compliance 56

CILIP

SEPTEMBER 2, 2020

New book provides an accessible and practical introduction to data science. Facet Publishing announce the publication of Practical Data Science for Information Professionals by David Stuart. David Stuart said of the text: "The growing importance of data science in the world today is impossible to miss ?

Data science 52

Data science Access Libraries Analytics 52

Thales Cloud Protection & Licensing

NOVEMBER 19, 2018

The age of Big Data is upon us. And, as more data is available for analytical purposes, more sensitive and private information is at risk. But in a Big Data analytics environment, the data must also be instantaneously available to those authorized to use it. respondents.”.

Big data 86

Big data Analytics Encryption Data science 86

Reltio

SEPTEMBER 13, 2023

As organizations embrace an ever-growing list of applications and transition to the cloud, critical data—like information about customers and products—becomes increasingly disorganized and negatively impacts quality. Real-Time data availability Once set up, the system operates like a well-oiled machine. Our collective aim?

Data science 52

Data science Analytics MDM Cloud 52

IBM Big Data Hub

NOVEMBER 30, 2022

Just a few weeks ago, IBM announced an expansion to their embeddable AI software portfolio with the release of three containerized Watson libraries. The new libraries include: IBM Watson Natural Language Processing Library for Embed. The new libraries include: IBM Watson Natural Language Processing Library for Embed.

Libraries 88

Libraries Data science Cloud Mining 88

ARMA International

SEPTEMBER 13, 2021

Some technology trends such as real-time data analytics are on-going, while others are more recent, such as blockchain. AI using machine learning (ML) involves processing samples of data to learn. Then using what was learnt learning to run data analytics on vast amounts of content from many sources. Data Analytics.

Digital transformation 59

Digital transformation Blockchain IT Computer and Electronics 59

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 77

Data science Manufacturing Artificial Intelligence Retail 77