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.
Dan North discusses the need to embrace uncertainty of scope, technology, effort and structure, expecting the unexpectable and anticipating ignorance.
Ben Stopford, Farzad Pezeshkpour and Mark Atwell discuss: the Manhattan processor – avoiding GC pauses-, beyond messaging with ODC, Risk, data virtualization and collaboration in banking.
While Cloud Computing offers increased business agility and reduced cost, many are worried about security: loss of control and lack of confidentiality. Presented by Alon Hazy and Jakob Illeborg Pagter, this talk looks at the threat landscape, then examines how to secure cloud solutions today and in the future.
Robert N. Charette takes a look at basic Lean values through the enterprise risk management perspective. He talks about the need to challenge assumptions which leads to discovery and innovation, about the relationship between risk and profit in Lean, and about the need to master risk management to help the organization thrive in various conditions.
Traditional thinking says the more critical the application, the more tightly its development must be planned, staged and controlled. The truth is, a flexible culture is stronger, safer and more robust. This talk gives practical tips for adopting an agile approach to planning, team interactions and risk management. When the culture shifts, teams achieve goals sooner and safety is greatly enhanced.
This session introduces Real Options and shows how it can help in running your project. Real Options is a decision-making process based on Financial Option Theory and Applied Psychology that can be used to manage risk. Applying Real Options to software development explains why many of the Agile practices are so successful.