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Five machine learning types to know

IBM Journey to AI blog

Manage a range of machine learning models with watstonx.ai Nearly everyone, from developers to users to regulators, engages with applications of machine learning at some point, whether they interact directly with AI technology or not. And the adoption of ML technology is only accelerating.

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How NVIDIA Fuels the AI Revolution With Investments in Game Changers and Market Makers

NVIDIA

AI alone could contribute more than $15 trillion to the global economy by 2030, according to PwC. And if you’re working in AI and accelerated computing right now, NVIDIA stands ready to help. Databricks offers an industry-leading data platform for machine learning, while Cohere provides enterprise automation through AI.

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Getting ready for artificial general intelligence with examples

IBM Journey to AI blog

Most experts categorize it as a powerful, but narrow AI model. Current AI advancements demonstrate impressive capabilities in specific areas. Self-driving cars excel at navigating roads and supercomputers like IBM Watson ® can analyze vast amounts of data. A key trend is the adoption of multiple models in production.

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How to choose the best AI platform

IBM Journey to AI blog

AI plays a pivotal role as a catalyst in the new era of technological advancement. PwC calculates that “AI could contribute up to USD 15.7 trillion to the global economy in 2030, more than the current output of China and India combined.” ” Of this, PwC estimates that “USD 6.6 trillion in value.