IBM Big Data Hub

FEBRUARY 22, 2024

As we see enterprises increasingly face geographic requirements around sovereignty, IBM Cloud® is committed to helping clients navigate beyond the complexity so they can drive true transformation with innovative hybrid cloud technologies. We believe this is particularly important with the rise of generative AI.

Enterprise 78

Enterprise Risk Data Processing Business Driver 78

Smart Data Collective

AUGUST 2, 2022

Cloud services to enhance automotive software development. Grape Up ensures domain expertise in building a proven cloud tech stack, hardware development, platform development, backend systems, systems integration, and determining proper tools. Such a secure cloud platform can handle the growing number of connected cars and devices.

Software 125

Software Machine Learning B2B Manufacturing 125

CIO Business Intelligence

AUGUST 25, 2023

Hot Melt Optimization employs a proprietary data collection method using proprietary sensors on the assembly line, which, when combined with Microsoft’s predictive analytics and Azure cloud for manufacturing, enables P&G to produce perfect diapers by reducing loss due to damage during the manufacturing 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. In our interconnected world, information travels across the globe at unprecedented speed and disinformation is getting spread even faster and reused across geographies.

Modeling 59

Modeling Metrics Business Intelligence Testing 59

IBM Big Data Hub

AUGUST 28, 2023

Data extraction Once you’ve assigned numerical values, you will apply one or more text-mining techniques to the structured data to extract insights from social media data. websites, social media platforms, customer surveys, online reviews, emails and/or internal databases). positive, negative or neutral).

Data mining 56

Data mining Machine Learning Deep Learning Marketing 56

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

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