Generative AI

Other than conventional ML, CarbonGPT can take advantage technologies like GenAI and GPT into the product (the word “GPT” in the branding must hold some water don’t they?). To apply large language models like GPT to carbon auditing and ESG reporting software, here are some other ideas:

Data Collection and Processing

Read and synthesize information from sustainability reports, financial filings, news articles to automatically collect emissions and ESG data.

For NLP to interpret unstructured data like invoices, contracts and convert it into structured data.

Use GPT's generative capabilities to fill in missing emissions data by generating estimates based on available data.

Analysis and Modelling

Discover correlations between historical emissions and business activity data using GPT regression analysis.

Time series forecasting using historical emissions patterns to predict future emissions.

Develop data simulations and scenarios for different emissions reduction strategies.

Reporting and Communication

Automatically generate written summaries, data visualizations and infographics for sustainability reports.

Translation draft or publish reports in multiple languages.

Generative speech abilities to provide voice-enabled report briefings and query interactions.

Audit and Assurance

Cross-validate emissions calculations using reasoning capability.

Use GPT for automated speech and text analysis to audit sustainability report claims against supporting data.

Compliance Tracking

Apply GPT's interpretation skills in legal language modelling to continuously scan regulatory changes.

Recommend updates to data tracking, disclosures based on regulatory changes.

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