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 80

Enterprise Risk Data Processing Business Driver 80

CIO Business Intelligence

AUGUST 25, 2023

That’s when P&G decided to put data to work to improve its diaper-making business. The project team explored several algorithms, including training neural network models, and found that the Microsoft AI Rules Engine achieved the best results,” Kietermeyer added.

Predictive Analytics 98

Predictive Analytics IoT Manufacturing Analytics 98

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. Without technologies like MEL, these words can create beautiful visualizations but cannot be utilized to provide value for the business.

Modeling 59

Modeling Metrics Business Intelligence Testing 59

IBM Big Data Hub

AUGUST 28, 2023

With nearly 5 billion users worldwide—more than 60% of the global population —social media platforms have become a vast source of data that businesses can leverage for improved customer satisfaction, better marketing strategies and faster overall business growth. What is text mining? words and/or phrases) known as tokens.

Data mining 58

Data mining Machine Learning Deep Learning Marketing 58

Domino Data Lab

JULY 9, 2019

Wiggins advocated that data scientists find problems that impact the business; re-frame the problem as a machine learning (ML) task; execute on the ML task; and communicate the results back to the business in an impactful way. For more insights from this session, watch the video or read through the transcript. Session Summary.

Data Science 112

Data Science Machine Learning Advertising Modeling 112

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. Paco Nathan ‘s latest monthly article covers Sci Foo as well as why data science leaders should rethink hiring and training priorities for their data science teams. Introduction. Ever heard of it before?

Data Science 71

Data Science Machine Learning Data Governance Statistics 71