Seattle,  WA 
United States
  • Booth: 4247

Logic20/20 has been helping our utility clients address their toughest challenges—and achieve their most ambitious goals—for over 20 years. Using machine learning, digestible visuals, and cloud processing, we’re working with our clients to predict and improve outcomes, whether in vegetation management, transmission and distribution, field service, or customer service. 

What are your business challenges? Learn how we can help at logic2020.com.

Brands: Asset Management, Cloud, AI/ML, Grid Operations, DMS, DERMS, Policy Compliance, Vegetation Management, Wildfire Mitigation, Customer Engagement


  • Grid Intelligence
    Maximize the impact of grid investments by heightening operational intelligence, powered by analytics....

  • Logic20/20 helps utilities build operational intelligence to meet the demands of today’s energy environment and achieve their modernization goals:

    • High return on infrastructure investments
    • Improved system safety and reliability
    • Reduced operating costs

    We guide you through our proprietary Utility Analytics Maturity Model through a coordinated series of initiatives focused on technology, strategy, and talent. Beginning with where you are today, we build your analytics strength until you achieve sustainable, scalable Grid Intelligence.

    Our solution in action

    By partnering with us, utilities have achieved …

    • 96% faster emergency power shutoff intelligence, from days to hours
    • 10,000 inspector hours saved per year with inspection automation
    • 43% fewer monthly inspections by optimizing inspections plans to improve safety
    • 75% reduction in analytics deployment time, getting critical information to business leaders faster

    Three steps to grid modernization

    1. Assessment: We create a 360-degree picture of your present data ecosystem.
    2. Roadmap: We build a plan for bridging the gap between where you are and where you want to be.
    3. Modern Analytics: We develop and implement the analytics assets needed to power your progress.

    Accelerating your progress

    Our expert team uses accelerators to solve common problems quickly and with industry best practices.

    Strong data foundation

    • Utility domain data models
    • Cloud data migration template

    Rapid intelligence platform

    • Machine Learning Ops (MLOps) template

    Efficient data-informed culture

    • Data governance process map and templates
    • Agile data science process templates
    • Data science team assessment matrix

    Strategic analytics successes

    • Investment planning template
    • Asset health template
    • Computer vision template

    What our utility clients are saying

    “Logic20/20’s team of analysts and managers demonstrate the highest level of competency, effectiveness, and professionalism that have netted productive and meaningful results helping to further continual improvement in our operations.”

  • Grid Operations
    Artificial intelligence and machine learning solutions help you heighten your grid operations by enhancing supply and demand forecasting of renewables as well as management of the alarms that help ensure safe, efficient processes....

  • Modernizing grid operations requires intelligent use of data on multiple fronts, including supply and demand forecasting—particularly for renewable energy—and management of the alarms that help keep your processes running smoothly and safely.

    Renewable energy forecasting

    Because they depend on weather, renewable sources such as solar and wind are inherently challenging to predict. In contrast to traditional statistically based methods for forecasting renewables, AI and machine learning solutions can tap into hundreds of data sources in near real time and are capable of training—and re-training—themselves, resulting in

    • More accurate forecasts based on up-to-the-minute data
    • Reduced need for specialized expertise
    • Faster adaptation to changing environmental factors

    Our approach to renewable energy forecasting

    AI and machine learning platforms can mine data in real time from a wide array of sources, including

    • Historical weather patterns
    • Satellite images
    • Weather station measurements
    • Smart sensors on wind turbines and solar panels
    • Observational inputs (e.g. from drone cameras)

    Artificial intelligence applications, including platforms like Splight and others, use advanced models to evaluate data from these and other sources in producing highly accurate forecasts of both supply and demand, enabling utilities to accommodate fluctuations and ensure an optimized flow of clean energy. Over time, machine learning–based platforms can identify patterns and use these insights to update their models, eliminating the need for manual retraining.

    Intelligent alarm management

    Proper handling of alarms is critical to safe, efficient grid operation. With the proliferation of field technologies such as IoT devices, “alarm overload” becomes a real possibility, reducing operators’ efficiency and increasing the possibility that truly critical alarms could be overlooked.

    Intelligent alarm management enables utilities to automate alarm monitoring and prioritization, improving operators’ ability to make the right decision at the right time.

    Our approach to intelligent alarm management

    Intelligent alarm management is about more than just technology. It’s about combining governance, people, process, tools, and techniques to contextualize alarm data and make it relevant to the operator for optimized decision making in every situation.

    Our process begins with a thorough assessment of where your alarm system is today compared to where you want it to be. Then we develop an alarm philosophy, which guides alarm identification and rationalization, enhanced alarm design, implementation, and performance monitoring and assessment. Finally, we establish an ongoing audit system that can drive continuous improvement in your alarm philosophy and implementation strategy.

    Benefits of intelligent alarm management

    • Improved operator effectiveness
    • Reduced operator fatigue
    • Ability to adjust and “teach” systems about possible inaccuracies
    • Reduced time-to-resolution for fault situations
    • Increased alarm usability
    • Improved system reliability

Send Email

Type your information and click "Send Email" to send an email to this exhibitor. To return to the previous screen without saving, click "Reset".