After years working on institutional trading, market connectivity and real-time risk technology, Lev Yatsemyrskyi has increasingly focused on another infrastructure challenge facing financial ...

Objectives To evaluate the performance of large language models (LLMs) in risk of bias assessment and to examine whether prompt engineering improves their accuracy and alignment with expert reasoning.

Ed Gaudet is the CEO and Founder of Censinet, a healthcare risk management platform, and member of the Health Sector Coordinating Council. Risk management is undergoing a seismic transformation due to ...

Risk models at Credit Suisse had flagged the dangers before their $5.5 billion Archegos loss. Silicon Valley Bank's risk metrics showed clear warnings before their collapse. In both cases, ...

By Vishal Sharai, Chief Technology Officer, CambrianEdge.ai You booked a train ticket this morning. It took forty seconds. You did not pause to consider the distributed transaction that locked your ...

Risk engineering applies quantitative and qualitative methods to identify, analyse and mitigate hazards across technical and socio-technical systems. Core approaches include probabilistic risk ...

Model-based systems engineering is quietly, but consistently, becoming an important part of the design, maintenance, and cybersecurity of the federal government’s most complex IT platforms. MBSE ...

Data analysis is enabling teams to make better decisions, and systems engineering is no different. Digital solutions have emerged to help engineers gather and analyze data from modeling, simulation, ...

As experience pathways shrink and judgment becomes more critical, engineering organizations must rethink how to develop future engineers, or risk a capability gap they can't easily repair. The debate ...