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2023-11-30 06:25:00

ARTIFICIAL INTELLIGENCE FOR ENERGY SYSTEMS

ARTIFICIAL INTELLIGENCE FOR ENERGY SYSTEMS

 

By PAUL KORZENIOWSKI  B2B Content producer, Self-employed

ENERGYCENTRAL - Nov 20, 2023 - Generative artificial intelligence solutions, like ChatGPT, provide an exponential increase in processing power compared to previous systems. Their new features are worming their way into a variety of systems. One area where they will have a major impact is mobile devices. Energy company employees are expected to gain more insight into equipment wear and tear; work with more intuitive interfaces; and have simpler access to complex information.

The new solutions boost productivity. Nowadays, employees constantly exchange information. Generative AI products recognize patterns of behavior and craft appropriate responses to items, like text messages and emails. These products are starting to understand tone and create nuanced responses. For instance, formal language is suggested when an employee converses with their boss, and a casual tone is invoked when they interact with friends.

Generative AI Boost Productivity

Vendors have been trying to turn chatbots into virtual assistants, so they assist employees as they complete their work. The emerging AI systems do a better job of sifting through In Box emails and putting the most important ones at the top of the stack or automatically routing documents to the appropriate place.

The AI tools are also becoming more helpful when sifting through information. Generative AI works with data sets that are 10X larger than previous high water marks. Consequently, they are to search and find information from more data sources.

Mobile technicians benefit as they try to service complex equipment in the field. These systems recognize what they are doing, what information they need, and automatically deliver it to them, streamlining such processes.

Artificial intelligence improves mobile device photo capabilities. Rather than storing images autonomously, they will be grouped and correlated, so trends become easier to discern. Time lapsed photography illustrates how equipment appears over time and foreshadows potential problem areas. Addressing such issues proactively limits their potential damage.

Personalization is another area of innovation. These solutions are becoming smart enough to recognize users’ personal learning styles. They present graphic illustrations to the visually oriented learner, and text to those with high reading comprehension.

Next generation AI solutions are quickly making their way from the test labs into utilities. These new tools will make it simpler for mobile service teams and remote employees to complete their work, boosting productivity and improving energy company efficiency.

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This thought leadership article was originally shared with Energy Central's Digital Utility Community Group. The communities are a place where professionals in the power industry can share, learn and connect in a collaborative environment. Join the Digital Utility Community today and learn from others who work in the industry.

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Tags: ARTIFICIAL INTELLIGENCE, AI, ENERGY, DIGIT