Remove Artificial Inteligence Remove Business Intelligence Remove Machine Learning
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How companies around the world apply machine learning

O'Reilly Media - Data

The growing role of data and machine learning cuts across domains and industries. Companies continue to use data to improve decision-making (business intelligence and analytics) and for automation (machine learning and AI). These are battle-tested platforms used in production, some at extremely large scale.

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Unlocking AI: Machine learning as a service

CIO

Once upon a time, the data that most businesses had to work with was mostly structured and small in size. This meant that it was relatively easy for it to be analyzed using simple business intelligence (BI) tools. All this adds up to a significant upfront investment that can be cost-prohibitive for many businesses.

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MachEye raises $4.6M for its business intelligence platform

TechCrunch

We’ve seen our fair share of business intelligence (BI) platforms that aim to make data analysis accessible to everybody in a company. “I have seen the business intelligence problems in the past,” Panuganty said. Most of them are still fairly complicated, no matter what their marketing copy says.

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How to take machine learning from exploration to implementation

O'Reilly Media - Data

Recognizing the interest in ML, the Strata Data Conference program is designed to help companies adopt ML across large sections of their existing operations. Recognizing the interest in ML, we assembled a program to help companies adopt ML across large sections of their existing operations. Machine Learning in the enterprise".

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Embedding BI: Architectural Considerations and Technical Requirements

While data platforms, artificial intelligence (AI), machine learning (ML), and programming platforms have evolved to leverage big data and streaming data, the front-end user experience has not kept up. Traditional Business Intelligence (BI) aren’t built for modern data platforms and don’t work on modern architectures.

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5 ways AI can help mitigate the global shipping crisis

TechCrunch

Ahmer Inam is the chief artificial intelligence officer (CAIO) at Pactera EDGE. machine learning and simulation). Ahmer Inam. Contributor. Share on Twitter. He has more than 20 years of experience driving organizational transformation. His experience includes leadership roles at Nike Inc.,

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Social services provider uses artificial intelligence to provide genuine help

CIO

In addition, the incapacity to properly utilize advanced analytics, artificial intelligence (AI), and machine learning (ML) shut out users hoping for statistical analysis, visualization, and general data-science features. As evidence, data analysis that once took 35 days can now be completed immediately.