Remove Artificial Inteligence Remove Business Intelligence Remove Enterprise Remove Machine Learning
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Epicor announces Grow portfolio to weave AI into ERP

CIO

ERP vendor Epicor is introducing integrated artificial intelligence (AI) and business intelligence (BI) capabilities it calls the Grow portfolio. Epicor Grow Data Platform is a full-stack, no-code data platform that allows enterprises to manage all of their data in one place.

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The AI continuum

CIO

Generative AI and large language models (LLMs) like ChatGPT are only one aspect of AI. Downsides: Not generative; model behavior can be a black box; results can be challenging to explain. Model sizes: Uses algorithmic and statistical methods rather than neural network models.

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Machine Learning and Deep Learning: How Does Machine Learning Work?

G2 Crowd Software

[cs_element_section _id=”1″][cs_element_row _id=”2″][cs_element_column _id=”3″] Artificial intelligence (AI) has always been fertile ground for science fiction. Read more: artificial intelligence trends Recently, the topic of AI sparked heated debate between tech moguls Elon Musk and Mark Zuckerberg.

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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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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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Why You Should Embrace Machine Learning – You Can’t Afford Not to

Datavail

were unsuccessful in fulfilling their aspirations of implementing Machine Learning (ML) systems in 2021. A ML data model provides users with one of three distinct ML strategies , each of which provides a specific type of business intelligence: descriptive, predictive, and prescriptive. Datavail is here to help.