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AI Is the New Digital Saviour for Utility Industries- But Why?

AI Is the New Digital Saviour for Utility Industries- But Why?

Utility industrial leaders provide the fundamental necessities for a community to live, work and play comfortably in a district, state or country. The level of quality and reliance on utility services of a country highlights the living conditions and economy of the country it serves every single household, office and factory. There are many utility service sectors, mainly provided by state or public authorities, like:

  • District Cooling /
  • Heating
  • Electricity
  • Natural gas
  • Postal
  • Sewage and sanitation.
  • Telephone
  • Transportation
  • Water
Unfortunately, unlike other industrial domains, the utility industry has higher maintenance costs, churns, impacts from environmental occurrences, political influence, dynamic client expectations and many other uncontrollable consequences. Utility service providers must have a solid understanding of the internal and external parameters that define the success of utilising labour and assets, maintaining infrastructure and delivering seamless services. This is why most forward-thinking utility service bodies rely on AI (Artificial Intelligence) technology. This article helps the reader understand why leveraging the power of AI is crucial in bolstering the operational excellence, labour utilisations and other hard-to-meet goals of global utility service providers.

AI Technology and Utility Industry Defined in Simple Words

AI Technology and Utility Industry Defined in Simple Words

AI has long passed the chasm of being defined as a revolutionary ‘idea’; it is now the most-wanted technological upgrade for most utility service enablers. AI is simply a virtual copy of the human brain. As a human being can learn new information, analyse and understand, so do AI models. AI technology allows smart machines and computer systems like sensors, robots, autonomous vehicles, UAVs, conversational user interfaces, etc., to mimic human intelligence processors to detect significant data revelations without human intervention.

There are talented software vendors that use sophisticated software and hardware to write and train algorithms to create artificial intelligence. These algorithms are built as ‘user-defined’ models- in other words, as AI tools built based on specific user requests.

For example, suppose a water utility service enabler is scrambling to understand a dam infrastructure’s current and future conditions. In that case, they can hire a technology expert to build an AI model that understands the dam’s risks, costs, and performances by scale. The AI model will ingest copious amounts of labelled training data- from historical data repositories, IoT data systems, industry expert intelligence and more- and analyse the data to pinpoint patterns and data process correlations. The AI model is sensitive to these patterns and trends; therefore, it gains the needful right to predict the future states of the dam infrastructure.

The example, as mentioned earlier, is one of the million uses of AI utilisation for utility service enablers. Here are a few of the significant instances where AI plays the role of a hero for utility service enablers around the world.

3 Unmissable AI Optimisations for Utility Service Providers

#1 Granular Visibility on Infrastructure Conditions
AI technology is the best approach to maintaining fixed assets like mechanical machines, infrastructure, buildings, structures and other asset classes. Despite the utility industry type, AI technology can be deployed to create personalised modules to facilitate asset managers in the utility industry world. By integrating asset-oriented information from RDBMS, IoT sensors, satellite technology, sensors and other data sources and feeding them to AI algorithms, asset utilisers can get a comprehensive understanding of the future conditions of assets. For example, suppose a failure is expected in a power grid in the next 10 days. In that case, the AI models can use the data to discern patterns and inform asset managers about the failure by predicting the time and place and prescribing the needful maintenance requirements like labour-power, expert assistance, resources, tools and other equipment needed to evade this failure. This saves an enormous amount of time, money and otiose efforts sacrificed in conventional asset management efforts.
#2 Customer-Centric Utility Services for A Modern Society
Modern utility service enablers must be highly receptive to the client’s responses. They cannot dabble with conventional technology when serving a functioning, modern society. One of the most critical factors for utility service enablers is customer engagement of service acquirers that range from thousands to millions. This technology transforms customer relationships by predicting customer expectations to heighten customer value. AI models can use the data collected by client feedback to help utility service enablers understand the future investment, maintenance power and labour required to meet future service requirements in the most cost-efficient manner possible. This will help utility service enablers to undergo deeper engagement by gaining actionable insights to tailor demand-side programs to streamline utility service lines.
#3 Marvellous Disaster Risk Mitigation
The disaster response capabilities of utility service providers define their sustenance during extreme weather and climate changes. AI allows utility service enablers to prepare for disaster recovery in the safest, resourceful and timely manner. Integrating environmental changes to asset conditions is one of the most unmissable perks of leveraging the power of AI. AI technology allows machine learning models to understand the difference in the environment to predict future hazardous events that can affect the integrity of utility infrastructure. Hours or maybe days before states of emergency of natural disasters – like hurricanes, landslides, floods, bushfires, algae contamination in water, human-made disasters etc.- AI models give warnings for utility asset managers to make decisions to deduct disaster risks. AI models prioritise risk severities and alert decision-makers with a resilience index and risk index to help them understand the required measures to ensure the safety of disaster-prone areas’ infrastructure, communities, and wildlife.

The Story of Cerexio’s Unmatchable AI Technology and Utility Service Giants

Cerexio is one of the best AI technology enablers for utility service providers worldwide. We offer expert software services and hardware to implement AI technology for undisturbed and promising LOS (Levels of Services), resilient infrastructure, timely financial decision-making and more advantages. We are specialists in three AI provisions:

Data Collection: PLC and instrumentation for AI data collection to integrate ubiquitous data sources – satellite-based remote sensing, cloud platforms, applications, IoT sensors and more.

User-defined Model Development: we formulate the problems and collaborate with utility service enablers to build AI models. We will select the aptest machine learning methods and build AI models like performance metrics, risk index models and other algorithms based on the user’s requirements.

Model Deployment: The user will be able to use interactive HMI to use real-time detection systems, early warning systems, Digital twin models, GIS maps, immersive technology and other visualisation tools to use the AI models. The users will also be able to horizontally and vertically scale the AI models to conveniently visualise intricate trends and patterns.

Contact Cerexioto learn more about how we can offer you the best AI services by emailing us at [email protected] Explore how your utility service centre can meet its future with Cerexio- the most unrivalled AI technology solution provider for all utility service enablers.

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