Steve Smith discusses why Release Testing is an anti-pattern, and offers an alternative risk reduction strategy.
Matt Barcomb shares practical ideas for generating and validating projects as Real Options, using value models and risk consideration to create a framework for prioritization and decision-making.
Andrea Burbank discusses the risks, benefits, and lessons from running a single huge experiment with hundreds of moving parts, and with long-term engagement as the metric of success.
The authors demonstrate the design and use of an environment for quantitative researchers building a market risk simulation first as a basic system and then adding a hypothetical systemic shock.
Sam McAfee focuses on quantitative risk modeling approaches exploring how to bring scientific rigor back into the Lean Startup process with Monte Carlo simulations and Cost of Delay scenarios.
Rupert Scofield explains how to build, motivate, and manage a team that both embraces the mission and delivers financial results, how to mitigate risk, and how to solve interpersonal conflicts.
The authors present design patterns and use cases of capital market firms that are incorporating big data technologies into their credit risk analysis, price discovery or sentiment analysis software.
Darren Hobbs shares lessons learned building polyglot systems, the technology choices made. mitigating risk and delivering value.
Tim Lister presents the advantages—and the dangers—of practicing risk management in an adult-like fashion, offering a process for tailoring an organization and discussing how it can grow up.
Neil Killick proposes ways to reduce risk and uncertainty, calculate a product’s price, determine delivery dates and roadmap, do Scrum and XP without using estimates.
Tormod Varhaugvik provides a design and rationale for an In Memory and Big Data architecture for live equity and risk assessment, using Tax Norway’ new architecture as an example.
Charles Cai, Ashwani Roy discuss a robust, cost effective, hypothetical solution to address extreme challenges in financial institutions, from decision making support to pricing and risk management.