Remove 2040 Remove Automation Remove Large Language Models
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Generative AI use cases for the enterprise

IBM Journey to AI blog

Automate tedious, repetitive tasks. This data is fed into generational models, and there are a few to choose from, each developed to excel at a specific task. Generative adversarial networks (GANs) or variational autoencoders (VAEs) are used for images, videos, 3D models and music. Best practices are evolving rapidly.

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Generative AI’s Role in Job Satisfaction

Unite.AI

From automating complex analysis to simulating scenarios that assist in decision-making, GenAI use cases are making a big impact across a broad swath of industries, including financial services, consultancies, information technology, legal, telecommunication and more. annually through 2040.

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The executive’s guide to generative AI for sustainability

AWS Machine Learning Blog

From an operational standpoint, you can embrace foundation model ops (FMOps) and large language model ops (LLMOps) to make sure your sustainability efforts are data-driven and scalable. This involves documenting data lineage, data versioning, automating data processing, and monitoring data management costs.

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Benefits of Generative AI for Business: Unlocking Infinite Possibilities

Chatbots Life

It can automate, enhance, and expedite a wide range of tasks across various functions. Let’s explore some widely used ones: ChatGPT: A large language model chatbot for 24/7 customer service and marketing content generation. Bing Chat: A conversational AI language model.

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AI News Weekly - Issue #411: ChatGPT: Everything you need to know about the AI-powered chatbot - Oct 31st 2024

AI Weekly

theverge.com ‘Secret cyborgs’: How AI is quietly transforming white-collar work AI is automating more of our daily work, and now employers are starting to ask: what’s being done by humans? 

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