Remove AI Chatbots Remove Generative AI Remove Responsible AI
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Responsible AI can revolutionize tax agencies to improve citizen services

IBM Journey to AI blog

The new era of generative AI has spurred the exploration of AI use cases to enhance productivity, improve customer service, increase efficiency and scale IT modernization. Generative AI can revolutionize tax administration and drive toward a more personalized and ethical future.

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Principal Financial Group uses QnABot on AWS and Amazon Q Business to enhance workforce productivity with generative AI

AWS Machine Learning Blog

Principal wanted to use existing internal FAQs, documentation, and unstructured data and build an intelligent chatbot that could provide quick access to the right information for different roles. Now, employees at Principal can receive role-based answers in real time through a conversational chatbot interface.

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

Unite.AI

AI serves as the catalyst for innovation in banking by simplifying this sectors complex processes while improving efficiency, accuracy, and personalization. AI chatbots, for example, are now commonplace with 72% of banks reporting improved customer experience due to their implementation.

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From Lab to Market: Why Cutting-Edge AI Models Are Not Reaching Businesses

Unite.AI

Understanding AIs Rapid Growth and Unrealized Potential Over the past decade, AI has achieved remarkable technological milestones. For example, OpenAIs GPT models have demonstrated the transformative power of generative AI in areas like content creation, customer service, and education.

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What is Claude AI, and How Does it Differ From ChatGPT?

Towards AI

Author(s): Jennifer Wales Originally published on Towards AI. Claude AI and ChatGPT are both powerful and popular generative AI models revolutionizing various aspects of our lives. In this article, we will learn more about what Claude AI is and what are its unique features.

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AI for Everyone: Conversational AI Explained

Towards AI

NLP process: Identify keywords: weather, today Understand intent: weather forecast request Generate a response AI response: Expect partly sunny skies with a light breeze today. NLG Generate: AI response: It looks like theres a 30% chance of showers this afternoon. Finally, respond how a person would.

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How to use foundation models and trusted governance to manage AI workflow risk

IBM Journey to AI blog

Foundation models are widely used for ML tasks like classification and entity extraction, as well as generative AI tasks such as translation, summarization and creating realistic content. The development and use of these models explain the enormous amount of recent AI breakthroughs. ” Are foundation models trustworthy?

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