O'Reilly on Data
NOVEMBER 13, 2018
As the data community begins to deploy more machine learning (ML) models, I wanted to review some important considerations. We recently conducted a survey which garnered more than 11,000 respondents—our main goal was to ascertain how enterprises were using machine learning. Privacy and security.
CIO Business Intelligence
OCTOBER 4, 2022
From delightful consumer experiences to attacking fuel costs and carbon emissions in the global supply chain, real-time data and machine learning (ML) work together to power apps that change industries. Data architecture coherence. more machine learning use casesacross the company.
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Cloudera
APRIL 9, 2021
The first blog introduced a mock vehicle manufacturing company, The Electric Car Company (ECC) and focused on Data Collection. The second blog dealt with creating and managing Data Enrichment pipelines. The third video in the series highlighted Reporting and Data Visualization. Data Collection – streaming data.
Cloudera
FEBRUARY 16, 2022
In this example, the Machine Learning (ML) model struggles to differentiate between a chihuahua and a muffin. We will learn what it is, why it is important and how Cloudera Machine Learning (CML) is helping organisations tackle this challenge as part of the broader objective of achieving Ethical AI.
Rocket-Powered Data Science
JULY 6, 2021
Specifically, in the modern era of massive data collections and exploding content repositories, we can no longer simply rely on keyword searches to be sufficient. Labeling, indexing, ease of discovery, and ease of access are essential if end-users are to find and benefit from the collection.
CIO Business Intelligence
APRIL 12, 2024
According to a report from Indeed , a large part of this shift has come as organizations focus more on adopting AI in the workplace. Even as the IT job market experiences shifting dynamics, employment website Indeed reports a range of roles have maintained resiliency and even grown in demand.
Smart Data Collective
OCTOBER 30, 2019
Machine learning is changing the future of marketing in many beneficial ways. The Digital Marketing Institute reports that 97% of decision makers believe it is the future of marketing. There are a number of tactics that marketers can pursue to optimize campaigns with machine learning algorithms.
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