Remove Categorization Remove Data Platform Remove Natural Language Processing
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Sarah Assous, Vice President of Product Marketing, Akeneo – Interview Series

Unite.AI

While traditional PIM systems are effective for centralizing and managing product information, many solutions struggle to support complex omnichannel strategies, dynamic data, and integrations with other eCommerce or data platforms, meaning that the PIM just becomes another data silo.

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Five machine learning types to know

IBM Journey to AI blog

Many retailers’ e-commerce platforms—including those of IBM, Amazon, Google, Meta and Netflix—rely on artificial neural networks (ANNs) to deliver personalized recommendations. With IBM® watsonx.ai ™ AI studio, developers can manage ML algorithms and processes with ease. temperature, salary).

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How foundation models and data stores unlock the business potential of generative AI

IBM Journey to AI blog

A foundation model is built on a neural network model architecture to process information much like the human brain does. IBM, foundation models and data stores To help organizations multiply the impact of AI across your business, IBM offers watsonx, our enterprise-ready AI and data platform.

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Getting ready for artificial general intelligence with examples

IBM Journey to AI blog

While these large language model (LLM) technologies might seem like it sometimes, it’s important to understand that they are not the thinking machines promised by science fiction. Achieving these feats is accomplished through a combination of sophisticated algorithms, natural language processing (NLP) and computer science principles.

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Baidu Research Introduces EICopilot: An Intelligent Agent-based Chatbot to Retrieve and Interpret Enterprise Information from Massive Graph Databases

Marktechpost

With the massive strides in natural language processing and generative intelligence in the past years, LLMs have been used to perform complex queries and summarization based on their language comprehension and exploration skill set. Based on the above score, the query was categorized as simple, moderate, or complex.

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Principal Financial Group uses AWS Post Call Analytics solution to extract omnichannel customer insights

AWS Machine Learning Blog

As a first step, they wanted to transcribe voice calls and analyze those interactions to determine primary call drivers, including issues, topics, sentiment, average handle time (AHT) breakdowns, and develop additional natural language processing (NLP)-based analytics.

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Top Predictive Analytics Tools/Platforms (2023)

Marktechpost

A few automated and enhanced features for feature engineering, model selection and parameter tuning, natural language processing, and semantic analysis are noteworthy. The platform makes collaborative data science better for corporate users and simplifies predictive analytics for professional data scientists.