NZero uses AI in its platform to enhance the accuracy and effectiveness of carbon tracking and analysis. AI is utilized to process large volumes of data, identify patterns, and provide actionable insights that help organizations optimize their energy usage and reduce carbon emissions. The integration of AI allows NZero’s platform to offer more precise predictions, recommendations, and automation in achieving sustainability goals.
The NZero data science team feeds predictive ML models to support expert energy consulting. Since February 2022, GAP’s team has supported NZero’s AI infrastructure, performing data preparation to feed and update the AI models. Without this continuous data processing — including handling the constant data defects, missing data and format issues — the existing AI models that depend on this data would not be useful.Â
This type of work with the core technologies, platforms and infrastructure is considered an AI-Foundational service at GAP because it enables the development, deployment and management of AI solutions across various applications.Â
To enhance the precision and reliability of these predictive models, GAP's seasoned team meticulously manages robust data pipelines that aggregate energy consumption data from various utility providers. Leveraging advanced ETL (Extract, Transform, Load) processes, GAPsters integrate supplementary datasets, ensuring a comprehensive and enriched data environment.Â
Given the diverse formats and content of this utility data, GAP’s experts employ sophisticated data imputation and retro-feed techniques, seamlessly harmonizing the data for optimal model accuracy and continuous updates.
