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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. This sophisticated foundation propels conversational AI from a futuristic concept to a practical solution. billion by 2030.

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Generative AI use cases for the enterprise

IBM Journey to AI blog

Generative AI ( artificial intelligence ) promises a similar leap in productivity and the emergence of new modes of working and creating. Generative AI represents a significant advancement in deep learning and AI development, with some suggesting it’s a move towards developing “ strong AI.”

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Alan Ranger, VP of Marketing at Cognigy – Interview Series

Unite.AI

Cognigy provides AI-driven solutions to enhance customer service experiences across industries. Cognigy's AI Agents leverage a leading Conversational AI platform, offering features such as intelligent IVR, smart self-service, and agent assist functionalities. Key technological breakthroughs behind the Cognigy.AI

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Turbocharging premium audit capabilities with the power of generative AI: Verisk’s journey toward a sophisticated conversational chat platform to enhance customer support

AWS Machine Learning Blog

The company is committed to ethical and responsible AI development with human oversight and transparency. Verisk is using generative AI to enhance operational efficiencies and profitability for insurance clients while adhering to its ethical AI principles.

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Generative AI operating models in enterprise organizations with Amazon Bedrock

AWS Machine Learning Blog

Generative AI can revolutionize organizations by enabling the creation of innovative applications that offer enhanced customer and employee experiences. In this post, we evaluate different generative AI operating model architectures that could be adopted.

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Is Artificial Intelligence relevant to insurance?

IBM Journey to AI blog

After the success of Deep Blue, IBM again made the headlines with IBM Watson, an AI system capable of answering questions posed in natural language, when it won the quiz show Jeopardy against human champions. Continued advancement in AI development has resulted today in a definition of AI which has several categories and characteristics.

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The Plagiarism Problem: How Generative AI Models Reproduce Copyrighted Content

Unite.AI

The rapid advances in generative AI have sparked excitement about the technology's creative potential. How Neural Networks Absorb Training Data Modern AI systems like GPT-3 are trained through a process called transfer learning. Avoid treating AI as fully autonomous creative systems.