“Artificial-Intelligence-Driven Management” Supports and Utilizes Smart Homes and Buildings

“Artificial-Intelligence-Driven Management” replaces the information-based management and decision-making processes represented by the Deming Cycle with the Artificial Intelligence-empowered Plan-Predict-Act Cycle. General-purpose and collaborative LeanBots use this paradigm shift to perform cyber-secure, sophisticated decision-making processes autonomously and in real-time at large scale, low costs, and with minimal energy consumption. Collaborative LeanBots reduce human-induced security risks or habitability requirements, and also eliminate human cycle times, costs, and efforts to perform sophisticated decision-making processes. When connected to supply chains and value streams, LeanBots become part of automation and logistics domains, additionally receiving or delivering goods and services. Collaborative LeanBots can be used by non-professionals and experts in general and proprietary environments. Furthermore, LeanBots can be deployed with a wide range of standard and proprietary devices or as software services, supporting centralized, decentralized, redundant and dispersed installations in smart home, building, city, and factory environments. LeanBots also contribute to the distribution of system intelligence. StockExBot is an application-specific LeanBot that takes equities as objects and earnings before interest and taxes (EBIT) as the target for its cyber-secure and autonomous decision-making processes. Collaborative StockExBots that are already operational and hardened, can decisively accelerate the design, verification, validation, ramp-up, and roll-out of alternative LeanBots. Customer relation management (CRM) and supply chain management (SCM) can be an appropriate starting point to identify those with maximum impact on local and global scales. The range of feasible applications of this new, unique and universally applicable technological platform, in combination with economies of scale can have a significant impact on the attractiveness of an entire economic region.