Microsoft has integrated new artificial intelligence (“AI”) and data-capturing capabilities into its cloud. The company has introduced a version of the Copilot AI tool as well as sustainability-focused data services to Microsoft Fabric.
This is Microsoft’s software-as-a-service (“SAAS”) analytics platform that covers real-time analytics, business intelligence, data movement and data science, among others. The Washington-based tech giant also equipped its Microsoft Sustainability Manager platform with an AI model to help improve insights.
Integrating sustainability features and AI capabilities into the Microsoft Fabric platform will help customers capture data on environmental, social, and corporate governance (“ESG”) as well as measure, reduce and report their environmental impact.
Microsoft corporate VP of industry clouds Satish Thomas says the data analytics platform’s new sustainability features will allow customers to convert large social and environmental data sets into usable analytics and reporting. Thomas said organizations could use the features to accelerate their sustainability progress and make insights that involve using out-of-the-box biodiversity data models, connectors, reporting and ESG.
The Copilot AI will help chief sustainability officers (“CSOs”) using the Microsoft Sustainability platform to write ESG reports, draft tables and synthesize relevant data as per reporting requirements, Thomas says. This ESG reporting also has to include insights and metrics calculated from a company’s environmental sustainability impact, he notes. Copilot can help by translating and mapping insights based on reporting requirements before generating preparatory reports such as the EU’s Corporate Sustainability Reporting Directive (“CSRD”).
The AI’s insights should be “built on and reviewed” before moving to the following steps in the submission process to maintain accuracy, Thomas added. He said Microsoft products always require a human touch, and he encouraged people to double-check the accuracy of AI system content.
The tech company also introduced an interactive AI model with intelligent insights into Microsoft Sustainability Manager to allow for in-depth emissions data analysis, the identification of emission reduction opportunities and informed decision-making. Thomas explains that this interactive AI model can use data anomalies, seasonality and historical trends to spot short- and long-term emission-reduction opportunities.
The AI model “uncovers overlooked patterns and data issues” that likely would have taken hours to find manually, making it especially helpful to companies that use manual means to manage their ESG data.
Companies can leverage the AI model to locate missing data, shine a light on anomalies where certain business operations have a disproportionate contribution to emissions, and identify sudden drops or spikes in emissions. They can then use these insights to inform their data quality assessments and identify problem areas that require emission reduction-related action.
For enterprises that are in the business of bringing to market metals critical to the transition to green energy, such as Ucore Rare Metals Inc. (TSX.V: UCU) (OTCQX: UURAF), technology that helps to document sustainability as well as ESG metrics could be a major boon to their efforts.
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