Generative intelligence pairs human perception and decision making capabilities of artificial intelligence (AI) with the scientific disciplines of dynamic complexity and perturbation theory, supported by causal deconstruction, to create a systemic and iterative collection of rational and unbiased knowledge that exceeds human intelligence.
The systemic enterprise is an integrated “systems-based” operations management approach that uses mathematical emulation, generative intelligence and automation to model, analyze, and measure operational risk so that system owners can optimally manage the health of business processes and underlying information technology.
Learn how companies use the advanced analytics and emulation capabilities supported by X-Act platform to identify how dynamic complexity leads to system limits, diagnose the root cause of limits and determine the best remedial actions by weighing the benefits, complexity and cost of proposed solutions.
Current risk management practices, which deal mostly with the risk of reoccurring historical events, cannot help business, government or economic leaders deal with the uncertainty and rate of change driven by the Fourth Industrial Revolution. As new innovations threaten to disrupt, business leaders lack the means to measure the risks and rewards associated with the adoption of new technologies and business models. Established companies are faltering as leaner and more agile start-ups bring to market the new products and services that customers of the on-demand or sharing economy desire—with better quality, faster speeds and/or lower costs than established companies can match.
Successful risk determination and mitigation is dependent on how well we understand and account for dynamic complexity, its evolution, and the amount of time before the system will hit the singularity (singularities) through the intensification of stress on the dependencies and intertwined structures forming the system. In this blog post, we provide an example of a client case where dynamic complexity played a key role in terms of resource consumption, time to deliver and volume to deliver. It illustrates how the predictive emulation provided by X-Act OBC Platform can be used to isolate the evolving impact of dynamic complexity and calculate risk as an impact on system performance, cost, scalability and dependability.