IBM Big Data Hub

DECEMBER 15, 2023

As a result, these technologies quite often lead to the best tools to handle complex challenges across many enterprise use cases. Open-source AI projects and libraries, freely available on platforms like GitHub, fuel digital innovation in industries like healthcare, finance and education.

Libraries 72

Libraries Artificial Intelligence Education Access 72

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. IBM Watson Speech-to-Text Library for Embed. Partner solutions using embeddable AI.

Libraries 91

Libraries Data science Cloud Mining 91

IBM Big Data Hub

NOVEMBER 24, 2023

Collectively, discovery and design is where significant time is spent during modernization, whereas development is much easier once the team has decoded the legacy application functionality, integration aspects, logic and data complexity. It also requires some focused effort to improve the data quality of data needed for tuning the models.

Cloud 100

Cloud Customer Experience Mining Marketing 100

CILIP

OCTOBER 8, 2019

Now we are in a place where Big Data and Artificial Intelligence (AI) are the ideas that are set to launch the next big thing. New conference, ConTech, which takes place in December and is in its second year aims to capitalise on the buzz about data and AI for anyone working with content ?

e-Delivery 40

e-Delivery Libraries Data science Artificial Intelligence 40

CILIP

SEPTEMBER 13, 2018

My parents were very poor, but our town had an excellent public library that I practically moved into. s Near Future Library Symposium. Can you give us your Top 5 things on the horizon that library and information professionals need to know about, and why? Do our libraries need to recruit data scientists?

Libraries 40

Libraries Blockchain Education Artificial Intelligence 40

IBM Big Data Hub

AUGUST 11, 2023

Machine learning (ML), a subset of artificial intelligence (AI), is an important piece of data-driven innovation. Machine learning engineers take massive datasets and use statistical methods to create algorithms that are trained to find patterns and uncover key insights in data mining projects. MLOps and IBM Watsonx.ai

Data science 58

Data science Artificial Intelligence Paper Compliance 58

ARMA International

SEPTEMBER 13, 2021

This discussion will include methods, tools, and techniques such as using personae and identifying use cases that have high business value, while minimizing project risks. More likely, the organization will resist DT – its new tools and processes to support new business models. Data Management. This is a best-case scenario.

Digital transformation 59

Digital transformation Blockchain IT Computer and Electronics 59