The ultimate measure of AI efficiency isn’t time to an answer, but speed to a decision you can stand behind.
Speed that stands up to scrutiny
AI is accelerating research, but faster answers only matter if they deliver decisions you can defend. Wiley’s new paper on Research Intelligence demonstrates how trusted knowledge, traceable evidence, AI-assisted synthesis and expert judgment must work together if R&D teams are to move faster without lowering the bar. Speed, transparency, and accountability build better research environments. Find out how.
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The future of AI-assisted research
AI is transforming scientific research. But confidence depends on knowing where every answer comes from.
That’s why we’ve built Wiley Applied Research Intelligence (ARI). Drawing on decades of full-text, peer-reviewed research, ARI grounds every answer in the underlying evidence and gives you a citable audit trail to check it.
For more than 200 years, Wiley has helped researchers access trusted knowledge. ARI brings that same rigor to AI. Because better AI starts with better sources.
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Built for corporate R&D teams, ask ARI directly to explore decades of trusted, peer-reviewed research, or run an expert-verified playbook for structured work. Every answer traces back to its source. Interested in learning more?
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Armughan Rafat, Senior Vice President, Chief AI & Data Analytics Officer
Armughan Rafat leads Wiley's AI and data services initiatives, focusing on developing and commercializing AI-ready content and data products for AI developers and corporate R&D teams. Armughan has a proven track record as an innovator responsible for building high-margin businesses and capabilities that convert content assets into predictive data and AI services.
AI is nothing if not assertive and plausible in its responses. This confidence, when misplaced, can lead to all kinds of risks for R&D teams. Learn more about these risks and how to combat them with these brief articles.
When researchers talk about the danger of ‘almost right’, they don’t just mean the risk of wrong. Responses based on incomplete access to the full text are just as likely to steer work in the wrong direction.
New data shows that AI with access to the full text identified more concepts, with more connections between them, as compared with AI accessing summaries alone.
