Global Clean Energy, Inc. Forms AI Division to Advance Renewal, Responsiveness, and Resilience through Data-Driven Energy Decisions

Core Viewpoint - Global Clean Energy, Inc. has launched a new AI Division aimed at enhancing environmental outcomes and economic growth through the innovative use of artificial intelligence [1][6]. Group 1: AI Division Objectives - The AI Division is focused on three main priorities: sharper risk visibility, smarter operations, and stronger resilience [10]. - The division aims to utilize machine learning and predictive analytics to identify emerging issues before they escalate, allowing for timely action by operators and policymakers [10]. - It will apply optimization and advanced analytics to reduce waste and improve the reliability of existing assets [10]. Group 2: Team and Structure - Global Clean Energy is assembling a cross-functional team of data scientists, AI engineers, and domain experts to drive the AI Division's initiatives [3]. - This team will operate an internal AI and Advanced Data Science innovation center dedicated to designing and scaling proprietary solutions across the company's markets [3]. Group 3: Acquisition Strategy - The division will pursue targeted acquisitions of AI technologies and teams that offer proven solutions and specialized expertise, thereby accelerating the time-to-impact within the Global Clean Energy ecosystem [4]. Group 4: Guiding Principles - The AI Division will adhere to principles of transparency, governance, and human-centered design, using modern techniques to augment human judgment rather than replace it [5]. - The goal is to provide decision-makers with timely and relevant signals to act confidently in alignment with environmental and economic objectives [5].