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Going beyond AI assistants: Examples from Amazon.com reinventing industries with generative AI

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Non-conversational applications offer unique advantages such as higher latency tolerance, batch processing, and caching, but their autonomous nature requires stronger guardrails and exhaustive quality assurance compared to conversational applications, which benefit from real-time user feedback and supervision.

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Top Use Cases of AI in the Banking Sector

Becoming Human

AI Chatbots The banking sector has started to use AI and ML (machine learning) significantly, with chatbots being one of the most popular applications. On the other hand, conversational AI that acts as a personal assistant can help with data input without the requirement of typing everything manually.

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5 Key Open-Source Datasets for Named Entity Recognition

Becoming Human

It’s crucial in various AI and machine learning (ML) applications. In AI, entities refer to tangible and intangible elements like people, organizations, locations, and dates embedded in text data. Data Quality: While open-source datasets can offer vast data, they don’t always guarantee quality.