Resource Library

Learn how to write structured, defensible AI prompts that work with @RISK Agent to produce accurate, auditable results across 5 stages of risk analysis.

Join Jason Lefever, Director of Solutions Engineering at Lumivero, for a practical session designed for aerospace, energy, and complex infrastructure teams looking to build a more consistent view of portfolio risk and gain clearer visibility into dependencies, downstream impact, and trade-offs.

Learn how to organize, code, and analyze qualitative data collaboratively in NVivo while maintaining rigor, transparency, and consistency at scale. 

Discover the seven essential features every field placement program needs—and how modern technology, from automated workflows to accessibility compliance, helps institutions scale smarter and support every student.

Learn how social work programs streamline field placements, evaluations, and collaboration to improve oversight, efficiency, and student support.

See how Northern Powergrid unified portfolio, project, and risk data with SharpCloud to improve visibility, reporting, and complex program delivery.

Learn how to evaluate research software by methodology, AI capabilities, compliance, and cost with this practical buyers guide for researchers, team leads, and institutional procurement.

See SharpCloud in action during this live demo and discover how organizations break down data silos to make better, more confident decisions. By connecting project, portfolio, and risk data into interactive visual stories, SharpCloud helps leaders understand trade-offs, align stakeholders, and act with clarity—across even the most complex portfolios.

Discover how leading aerospace and defense organizations move beyond fragmented risk management to connect uncertainty, governance, and decision-making across complex programs. Download the free ebook. 

Register to elevate your research with our NVivo webinar on grounded theory. Gain insights into coding qualitative data and constructing strong theoretical frameworks.

Can Monte Carlo simulation predict the World Cup? Prof. Steve Begg runs the numbers with @RISK.