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The issue of scale is perhaps the most significant challenge for intelligence and automation technologies. There are compelling instances where power and utilities can embrace intelligence and automation technologies, with a few utilities now scaling up projects and integrating them across entire organizations. However, while generative AI holds promise in https:\/\/www.mamemame.info\/on-my-thoughts-explained-2\/<\/a> certain applications, power and utilities can benefit from exploring a wider array of digital intelligence and automation technologies, including various forms of AI such as machine learning and robotic process automation.<\/p>\n<\/p>\n We’re offering guidance on assembling an AI Use Policy to utility leaders who want to understand the guardrails and guidance surrounding AI use that make sense for their organization’s unique situation. This measured approach saves staff time and avoids costly missteps that come from hasty implementation. They’re taking time to understand their processes, identify high-value use cases, and build appropriate guardrails. Success requires change management, training, clear communication, and patience, not just better tools. This creates knowledge gaps, unrealistic expectations, and potential frustration.<\/p>\n<\/p>\n Agentic AI can autonomously plan, act, and adapt to achieve defined goals with minimal human intervention by combining capabilities of generative AI and predictive AI. Generative AI uses advanced algorithms and machine learning to create predictive models and simulations from historical data and various scenarios. The convergence of digitalization and infrastructure modernization is creating significant investment potential within the utilities sector. Electricity demand requires capacity expansion without compromising supply reliability or affordability.<\/p>\n<\/p>\n