Trust in AI comes down to trust in data. Enterprises underestimated that connection and now companies are racing to close the ...
Artificial intelligence (AI) is increasingly used to analyze medical images, materials data and scientific measurements, but ...
Enterprises want more value from their data, but research from Salesforce shows how silos, gaps in strategy and low data ...
The Register on MSNOpinion
AI industry insiders launch site to poison the data that feeds them
Poison Fountain project seeks allies to fight the power Alarmed by what companies are building with artificial intelligence ...
Organizations have a wealth of unstructured data that most AI models can’t yet read. Preparing and contextualizing this data ...
AI is only as strong as the data beneath it. Fragmented, inconsistent or stale data will derail even the most advanced models. My previous MarTech article, “Operationalizing generative AI for ...
Machine learning didn’t disappear — it embedded itself. These seven competencies define what marketers must architect, govern and measure for 2026.
A strong data governance foundation is essential for higher education institutions to deploy trustworthy, effective artificial intelligence.
Tech Xplore on MSN
Model steering is a more efficient way to train AI models
Training artificial intelligence models is costly. Researchers estimate that training costs for the largest frontier models ...
Top-level actions include giving agents the right amount of freedom and rethinking traditional ROI. Industry leaders share their own experiences.
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