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AI in 2025: Purpose-driven models, human integration, and more

AI News

With so many examples of algorithmic bias leading to unwanted outputs and humans being, well, humans behavioural psychology will catch up to the AI train, explained Mortensen. However, Wilson warns of new questions on boundaries between personal and workplace data, spurred by such integrations. The solutions?

ESG 311
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Data Integrity: The Foundation for Trustworthy AI/ML Outcomes and Confident Business Decisions

ODSC - Open Data Science

Be sure to check out her talk, “ Power trusted AI/ML Outcomes with Data Integrity ,” there! Due to the tsunami of data available to organizations today, artificial intelligence (AI) and machine learning (ML) are increasingly important to businesses seeking competitive advantage through digital transformation.

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Harnessing Machine Learning for Climate Change Mitigation: A Roadmap to Sustainable Future

Heartbeat

Can algorithms, neural networks, and data analytics offer tangible solutions to mitigate the climate crisis? ML can sift through this data deluge by leveraging advanced algorithms and computational methodologies, uncovering hidden patterns, correlations, and insights that may elude human analysis.