Powering the Future

The utilities industry is no stranger to disruption, from turbulent climate change to rising interest rates to higher operating and capital costs. The advent of technology, and pressure to modernize, introduce new challenges and opportunists as utilities companies race to keep up and digitize, while not sacrificing reliability, quality, and superior customer service.

From the advent of smart grids and IoT devices to AI-driven analytics help forecast energy demand, detect anomalies, and automate routine tasks, technological innovation is paving the way for the industry to modernize and optimize.

Advanced analytics and business intelligence are also playing a crucial role by providing utilities companies with critical insights into operations, customer behavior, and market trends. By 2025, Gartner predicts that 60% of utilities companies will leverage these tools to drive strategic initiatives and boost operational efficiency.

As the utilities sector continues to embrace these technological advancements, they are well-positioned to meet future challenges and drive sustainable growth.

How We Help

As the utilities industry braces for increased demand, reliability challenges, and regulatory requirements, increased focus is being placed on the role that technology and advanced analytics can play in not only mitigating imminent risk, but ensuring that infrastructure, operations, and tech investments are designed to support future needs.

Since our inception, SQA Group has worked closely with utilities companies on introducing tech-powered solutions that enable them to drive efficiencies, deliver superior customer experience, and stay ahead of pressing market challenges. Supporting leaders like you across areas such as:

  • Utilizing AI/ ML to predict maintenance needs, identify potential failures, monitor energy consumption, etc.
  • Improving the accuracy, validity, completeness, and consistency of data
  • Forecasting demand and capacity to more effectively manage teams, resources, and investments
  • Automating and streamlining business processes to eliminate manual toil and increase output
  • Conducting current to future state digital transformation and modernization roadmapping

By the Stats

The integration of AI and machine learning in utilities can lead to significant operational benefits. For example, AI can reduce equipment downtime by up to 20% and maintenance costs by up to 10%, while also improving overall operational efficiency and reliability​.

- Deloitte

Areas of Expertise

Supporting you with strategy, implementation, and execution across

  • AI/ML Use Case Identification
  • Value Stream Mapping
  • Lifecycle Velocity & Automation
  • Automated Frameworks
  • Business Process Optimization
  • Predictive Analytics
  • DevOps Services
  • Performance Engineering
  • Next-Gen KPI-ing
  • Robotics Process Automation

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