Remove AI Strategy Remove Natural Language Processing Remove NLP
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Sarah Assous, Vice President of Product Marketing, Akeneo – Interview Series

Unite.AI

AI-powered algorithms can detect and correct inconsistencies, fill in missing attributes, and classify products based on predefined rules or learned patterns, reducing manual errors and ensuring uniformity across marketplaces, eCommerce platforms, print catalogs, and anywhere else you sell. to create those tailored product recommendations.

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AI Paves a Bright Future for Banking, but Responsible Development Is King

Unite.AI

AI chatbots, for example, are now commonplace with 72% of banks reporting improved customer experience due to their implementation. Integrating natural language processing (NLP) is particularly valuable, allowing for more intuitive customer interactions.

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Conversational AI use cases for enterprises

IBM Journey to AI blog

This class of AI-based tools, including chatbots and virtual assistants, enables seamless, human-like and personalized exchanges. Beyond the simplistic chat bubble of conversational AI lies a complex blend of technologies, with natural language processing (NLP) taking center stage.

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Innovating at speed: BMW’s generative AI solution for cloud incident analysis

AWS Machine Learning Blog

As a lead developer within the Connected Companys Connected AI platform team, she enjoys helping teams to improve their products and workflows with Generative AI. She also has a background in working on Natural Language processing (NLP) and a degree in psychology.

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AI Set To Take Center Stage at Today’s Apple WWDC Conference

Unite.AI

This year's conference promises to be particularly groundbreaking, as Apple is poised to unveil its ambitious AI initiative and its integration across the company's ecosystem, including iOS, iPadOS, watchOS, and macOS. Moreover, Apple may announce enhancements to its existing developer platforms, such as Xcode and SwiftUI.

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Exploring the AI and data capabilities of watsonx

IBM Journey to AI blog

These encoder-only architecture models are fast and effective for many enterprise NLP tasks, such as classifying customer feedback and extracting information from large documents. Encoder-decoder and decoder-only large language models are available in the Prompt Lab today. To bridge the tuning gap, watsonx.ai

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Getting ready for artificial general intelligence with examples

IBM Journey to AI blog

Achieving these feats is accomplished through a combination of sophisticated algorithms, natural language processing (NLP) and computer science principles. LLMs like ChatGPT are trained on massive amounts of text data, allowing them to recognize patterns and statistical relationships within language.