![]() ![]() Explainable AI creates the trust necessary for operators, engineers and stakeholders to solve acute issues quickly. Retaining holistic coordination across intersecting processes and functionalities is no easy task. Cognitive AI is already making moves to encode that human knowledge and expertise across providers’ entire operations, delivering auditable, explainable recommendations at a moment’s notice.Īdvanced systems, with the ability to monitor and support large-scale industrial plant operations that encompass complex facilities, have been proving themselves valuable. Historically, experienced human operators were best equipped to handle necessary, efficiency-boosting adjustments. When discussing the efficiency of power generation, many factors play into the overall picture, including the impacts of environmental circumstances as commonplace as temperature and humidity levels. When applying AI, the sector also stands to achieve greater cost and operational efficiencies in several key areas such as predictive maintenance, load forecasting/optimization, grid reliability, energy theft prevention and renewable resource optimization. Stakeholders will have streamlined access to facility-scale insights, creating a plant environment with greater risk mitigation, as well as maximized efficiency and productivity, resulting in more environmentally conscious, sustainable operations. ![]() As the earliest implementation of an AI-powered plant from the ground up, the endeavor will employ advanced sensor placement technology and techniques that encode then embed knowledge and expertise into every part of the facility’s processes. to build the world’s first power plant guided by cognitive AI, driving utility development in West Africa. My organization is working with Xcell Security House and Finance S.A. The company collects vast amounts of data from sensors and other IoT devices across a city to provide actionable insights, leading to improvements in areas like disaster response, asset protection, supply forecasting, traffic management and more. The solution is designed to enhance sustainability while maintaining infrastructure and improving community services. The platform was designed to support and integrate with existing IT systems, simplify the testing and development of new digital services for Energia and improve data analytics from a wide range of sources.Another good example of a company making moves on the smart city front includes NVIDIA’s Metropolis platform that employs AI at the edge in the form of intelligent video analytics to elevate public services and logistics. Version 1, working on-site with Energia’s in-house team, rapidly delivered its cloud-based digital platform using Microsoft Azure within three months. Version 1 and Energia set about building a single platform to capture all required digital interactions from the web, mobile, voice assistant channels, and smart meters, to enable Energia to research, test, and launch the new shortlisted energy services. From here, an agreed shortlist was taken to the ‘build, test and deploy’ stage using the Microsoft Azure platform. The first step was a series of Version 1 facilitated workshops with Energia to challenge the value and viability of potential new digital services. ![]() Version 1 has partnered with Energia for many years on key digital projects and was tasked with helping to get the company digitally ready to meet the future needs of energy consumers. ![]()
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