IBM Journey to AI blog

FEBRUARY 13, 2024

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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AWS Machine Learning Blog

APRIL 22, 2024

This post serves as a starting point for any executive seeking to navigate the intersection of generative artificial intelligence (generative AI) and sustainability. A roadmap to generative AI for sustainability In the sections that follow, we provide a roadmap for integrating generative AI into sustainability initiatives 1.

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ESG Generative AI AI AI 136

Unite.AI

APRIL 26, 2024

Generative AI (GenAI) is a pivotal technology that enhances work in a myriad of ways. AI’s Productivity Boost GenAI's rapid rise marks a crucial shift in how organizations must operate and strategize to augment every role. annually through 2040. GenAI applications are as diverse as they are impactful.

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Unite.AI

FEBRUARY 29, 2024

Generative AI can help. By leveraging data, machine learning , and AI, these organizations have an opportunity to better know each individual customer, their likes, dislikes, what motivates them to purchase, and more. This is where Generative AI (GenAI) comes in. GenAI shouldn’t be something to fear.

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Chatbots Life

APRIL 19, 2024

As per a recent Gartner poll , 45% of executive leaders have increased their AI investments due to the popularity of ChatGPT. 70% of these executives confirmed that their organizations are currently exploring Generative Artificial Intelligence. Key Generative AI Business Gains The statistics provide a compelling answer.

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Unite.AI

MAY 28, 2024

This has led to substantial environmental implications for training and using AI models. OpenAI researchers note that : since 2012, the computing power required to train advanced AI models has doubled every 3.4

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Topbots

AUGUST 13, 2024

Recent breakthroughs in imitation learning, combined with the power of generative AI, are accelerating the pace of innovation. Imitation learning allows robots to learn complex tasks by observing human actions, while generative AI enhances the training process by creating vast amounts of synthetic data.

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