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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.

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Conversational AI use cases for enterprises

IBM Journey to AI blog

Beyond the simplistic chat bubble of conversational AI lies a complex blend of technologies, with natural language processing (NLP) taking center stage. NLP translates the user’s words into machine actions, enabling machines to understand and respond to customer inquiries accurately. What makes a good AI conversationalist?

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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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Introducing watsonx: The future of AI for business

IBM Journey to AI blog

Put AI to work in your business with IBM today IBM is infusing watsonx.ai foundation models throughout all of its major software solutions and services — embedding it in core AI and automation products and within our consulting practices.

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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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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. NLP techniques help them parse the nuances of human language, including grammar, syntax and context.

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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. With multiple families in plan, the first release is the Slate family of models, which represent an encoder-only architecture. To bridge the tuning gap, watsonx.ai