Remove 2030 Remove Deep Learning Remove Risk Remove Statistics
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AI this Earth Day: Top opportunities to advance sustainability initiatives

IBM Big Data Hub

The key to achieving the United Nation’s target through 2030 lies in enhancing the performance of assets, facilities and infrastructure. Generative AI refers to deep-learning models that can take raw data and “learn” to generate statistically probable outputs when prompted.

IoT 79
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Five machine learning types to know

IBM Big Data Hub

ML is a computer science, data science and artificial intelligence (AI) subset that enables systems to learn and improve from data without additional programming interventions. Supervised learning is commonly used for risk assessment, image recognition, predictive analytics and fraud detection, and comprises several types of algorithms.

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Getting ready for artificial general intelligence with examples

IBM Big Data Hub

LLMs like ChatGPT are trained on massive amounts of text data, allowing them to recognize patterns and statistical relationships within language. Building an in-house team with AI, deep learning , machine learning (ML) and data science skills is a strategic move.