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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

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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Introducing watsonx: The future of AI for business

IBM Journey to AI blog

Indeed, the more AI is embedded into daily workflows, the more you need proactive governance to drive responsible, ethical decision-making across the business. Watsonx.governance can help build the necessary guardrails around AI tools and the uses of AI.

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Erik Schwartz, Chief AI Officer (CAIO) Tricon Infotech – Interview Series

Unite.AI

His work, most recently on the Scopus AI project at Elsevier, underscores his commitment to redefining the boundaries of how we engage with information and create a trusted relationship with users. How have your experiences at companies like Comcast, Elsevier, and Microsoft influenced your approach to integrating AI and search technologies?

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AI Strategist: Driving Business Transformation Through Artificial Intelligence

Pickl AI

Strategic Planning : The ability to develop comprehensive AI strategies that align with the company’s vision and goals is essential. This involves assessing market trends and identifying opportunities for AI integration. An effective AI strategy is a critical component of broader digital transformation efforts.

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AI Models as a Service (AIMaaS): A Detailed Overview

Pickl AI

By providing AI capabilities through cloud-based platforms, AIMaaS allows businesses of all sizes to leverage powerful Machine Learning models without needing extensive in-house expertise or infrastructure. This model democratises access to advanced AI tools, enabling organisations to integrate AI into their operations seamlessly.