Bidgely to show Energy AI at Enlit Asia 2026 in Jakarta, Indonesia. Utilities, regulators, technology providers and energy leaders will be present at the event. The event will be held on 22-24 September in BSD City, Jakarta. Bidgely will demonstrate the value of smart meter data in technical presentations and panel discussions. The company will demonstrate how standard artificial intelligence can convert data into practical utility outcomes.
In particular, Bidgely will highlight its award-winning behind-the-meter AI capabilities. These capabilities help utilities unlock greater value from smart meter data. The technology supports several critical utility functions. These include customer experience, grid planning, revenue protection and program targeting. It also supports data monetisation across modern utility operations.
The company will focus on how utilities can move beyond traditional billing activities. Instead, utilities can use Energy AI to generate actionable insights from growing data volumes.
At Enlit Asia, we’re showing how energy leaders are extracting value from this AMI data with AI/ML based big-data analytics, which turn interval data into concrete outcomes that remove bill shock, eliminate non-technical losses and build a resilient grid.
“Utilities across Southeast Asia have laid a strong digital foundation through rapid AMI rollouts, and smart meters are already generating an invaluable stream of operational data,” said Nipun Jain, VP (EMEA & APAC) at Bidgely. “At Enlit Asia, we are showing how energy leaders are extracting value from this AMI data with AI/ML based big-data analytics, which turn interval data into concrete outcomes that remove bill shock, eliminate non-technical losses and build a resilient grid for the future.”
Bidgely Targets Consumer Value and Revenue Protection
Bidgely to showcase proven solutions across three major focus areas at Enlit Asia 2026 Improved value for consumers through granular energy insights is the first area. Bill shock remains a major source of customer dissatisfaction. This is a challenge Bidgely aims to address with personalized energy information. The company’s technology gives consumers appliance-level usage insights. These insights can help customers understand how they are using electricity.
The Customer Service Representatives also have actionable information at their disposal. This data helps CSRs respond to complex customer questions faster. This enables utilities to improve client engagement and provide more personalized support. Energy AI also assists utilities in transforming consumption data into relevant customer experiences.
The second is protecting the revenue. Non-technical losses continue to be widespread in utilities in South East Asia. Bidgely uses advanced AMI anomaly algorithms to solve these problems. The technology replaces slow, reactive audit routines with targeted leads. They are more likely to catch odd consumption patterns. Utilities can then investigate potential energy theft with supporting evidence. Utilities can use this approach to protect revenue and improve operational efficiencies. It also allows teams to channel funds into higher-value investigations.
Modern Energy Networks Supported by Advanced Grid Intelligence
The third area of focus for Bidgely is advanced grid intelligence. The company will embrace the volatility that comes with distributed energy resources. Solar generation and electric vehicles can pose new challenges for distribution networks. So utilities need better visibility into distribution assets and changing patterns of demand. Bidgely’s approach builds a bottom-up model of the distribution assets. This model can offer utilities greater visibility across their networks.
Utilities will be better able to determine transformer capacity and identify stressed assets. They can also assess load-shifting opportunities. These insights can help utilities better manage their infrastructure. Moreover they are able to support efforts to defer large CAPEX demands.
Utilities can also leverage these insights in order to optimize OPEX. This allows for better management of the more dynamic energy systems. The company’s Energy AI approach therefore links smart meter data to the wider grid operation. It helps utilities move toward data-driven planning and decisions.
Flexible UtilityAI Deployment Supports Different Data Needs
Southeast Asian utilities have different needs for cloud, security and data governance. Bidgely understands these differences through flexible deployment options. The UtilityAI™ of the company can be deployed as a fully-managed SaaS solution. It can also be deployed by utilities in their own preferred cloud and data ecosystem. Supported environments include AWS, Microsoft Azure, Snowflake and Databricks; That flexibility helps utilities leverage their existing technology investments.
It also helps businesses to meet IT requirements. At the same time, utilities can speed up the adoption of AI-driven analytics. UtilityAI™ links advanced analytics with a utility’s existing data infrastructure. The platform can help utilities extract greater value from their AMI investments. Ultimately, Bidgely will use Enlit Asia 2026 to showcase real-world applications of Energy AI. The company will focus on how utilities can convert the data they have into tangible results.
These results range from client engagement to revenue protection and grid management. They also facilitate the planning of modern energy networks. With the ongoing roll-out of smart meters across Southeast Asia, utility data volumes will continue to grow. Therefore, utilities seeking operational value will rely increasingly on advanced analytics.
And Bidgely’s presence at Enlit Asia 2026 will showcase this shift. The company will showcase how AI/ML based big-data analytics can convert utility data into actionable intelligence.
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News Source: Businesswire.com
