IBM Big Data Hub

FEBRUARY 22, 2024

We believe this is particularly important with the rise of generative AI. While AI can undoubtedly offer a competitive edge to organizations that effectively leverage its capabilities, we have seen unique concerns from industry to industry and region to region that must be considered—particularly around data.

Enterprise 78

Enterprise Risk Data Processing Business Driver 78

CIO Business Intelligence

AUGUST 25, 2023

En route to one of those plants in Missouri, Kietermeyer explained to CIO.com that the combination IoT and edge platform, sensors, and edge analytics rules engine have been successfully employed to address pressure and temperature anomalies and the valve hardware issues that can occur in the diaper-making process.

Predictive Analytics 97

Predictive Analytics IoT Manufacturing Analytics 97

Ontotext

MARCH 7, 2024

This is part of Ontotext’s AI-in-Action initiative aimed at enabling data scientists and engineers to benefit from the AI capabilities of our products. Entities in this context can be specific objects such as people, organizations, locations, dates, as well as general concepts, such as “global warming”.

Modeling 59

Modeling Metrics Business Intelligence Testing 59

IBM Big Data Hub

AUGUST 28, 2023

Text mining —also called text data mining—is an advanced discipline within data science that uses natural language processing (NLP) , artificial intelligence (AI) and machine learning models, and data mining techniques to derive pertinent qualitative information from unstructured text data. What is text mining?

Data mining 56

Data mining Machine Learning Deep Learning Marketing 56

Domino Data Lab

AUGUST 8, 2019

Secondly: some key insights discussed at Sci Foo finally clicked for me—after I’d heard them presented a few times elsewhere. Secondly: some key insights discussed at Sci Foo finally clicked for me—after I’d heard them presented a few times elsewhere. Introduction. In mid-July I got to attend Sci Foo , held at Google X. What’s a Foo?

Data Science 71

Data Science Machine Learning Data Governance Statistics 71

Domino Data Lab

JULY 9, 2019

In the Rev session , “Data Science at The New York Times”, Chris Wiggins provided insights into how the Data Science group at The New York Times helped the newsroom and business be economically strong by developing and deploying ML solutions. For more insights from this session, watch the video or read through the transcript.

Data Science 112

Data Science Machine Learning Advertising Modeling 112