Social learning strategies enable agents to infer the underlying true state of nature in a distributed manner by receiving private environmental signals and exchanging beliefs with their neighbors. Previous studies have extensively focused on static environments, where the underlying true state remains unchanged over time. In this paper, we consider a dynamic setting where the true state evolves according to a Markov chain with equal exit probabilities. Based on this assumption, we present a social learning strategy for dynamic environments, termed Diffusion $\alpha$-HMM. By leveraging a simplified parameterization, we derive a nonlinear dynamical system that governs the evolution of the log-belief ratio over time. This formulation further reveals the relationship between the linearized form of Diffusion $\alpha$-HMM and Adaptive Social Learning, a well-established social learning strategy for dynamic environments. Furthermore, we analyze the convergence and fixed-point properties of a reference system, providing theoretical guarantees on the learning performance of the proposed algorithm in dynamic settings. Numerical experiments compare various distributed social learning strategies across different dynamic environments, demonstrating the impact of nonlinearity and parameterization on learning performance in a range of dynamic scenarios.

Artificial intelligence is reshaping wealth management and a digital infrastructure specialist believes financial advice practices will greatly benefit from implementing AI in the workplace. Dimension Data believes artificial intelligence is not just for robots and automating traditional blue-collar workplaces - it will also be of great benefit to financial advisers. The firm's chief technology officer for Australia, Debra Bordignon, said AI will cover "the generalist research and problem solving of first-year lawyers, financial advisers, accountants, and doctors." Her comment comes from Dimension Data's latest e-book that aims to provide executive guidance around the assessment of a business' digital enterprise capability. She said leaders across all industries lack tools and models for cohesive strategy and execution, "and so approaches are often piecemeal, falling short of what is required to flourish in the digital social era." "IT leaders are scrambling to understand which strategic assets and capabilities they need to bridge analogue and digital worlds. They want to know how to take the culture and business models associated with dynamic start-ups and bring them into mature enterprises," Bordignon said.