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Accelerating Your Journey: AI's Transformative Role in Sustainability

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SAP has unveiled two key AI-driven sustainability solutions as COP29 opens in Baku, Azerbaijan. The first innovation is automated Emission Factor Mapping in SAP Sustainability Footprint Management, which can reduce manual effort by up to 80% in calculating carbon footprints. The second is AI-assisted ESG Report Generation in SAP Sustainability Control Tower, which can cut ESG metrics collection time by 98% and report creation time by 80%.

The solutions leverage advanced technologies including large language models, SQL grounding techniques, and Retrieval Augmented Generation (RAG) to ensure data security and accuracy. According to KPMG's February 2024 report, over half of sustainability executives prioritize AI for improving data analysis and ESG capabilities.

These innovations represent SAP's commitment to using AI for environmental impact, with future plans including integration with SAP's AI copilot Joule for actionable sustainability recommendations.

SAP ha presentato due importanti soluzioni sostenibili guidate dall'IA in occasione dell'apertura della COP29 a Baku, in Azerbaijan. La prima innovazione è la mappatura automatica dei fattori di emissione nel SAP Sustainability Footprint Management, che può ridurre fino all'80% l'impegno manuale nel calcolo delle impronte di carbonio. La seconda è la generazione di report ESG assistita dall'IA nel SAP Sustainability Control Tower, che può ridurre il tempo di raccolta dei metrici ESG del 98% e il tempo di creazione del report dell'80%.

Le soluzioni utilizzano tecnologie avanzate, tra cui modelli di linguaggio di grandi dimensioni, tecniche di grounding SQL e Generazione Augmentata da Recupero (RAG) per garantire la sicurezza e l'accuratezza dei dati. Secondo il rapporto di KPMG di febbraio 2024, oltre la metà dei dirigenti sostenibili dà priorità all'IA per migliorare l'analisi dei dati e le capacità ESG.

Queste innovazioni rappresentano l'impegno di SAP nell'uso dell'IA per l'impatto ambientale, con piani futuri che includono l'integrazione con il copilota IA di SAP, Joule, per raccomandazioni sostenibili attuabili.

SAP ha presentado dos importantes soluciones sostenibles basadas en IA con motivo de la apertura de la COP29 en Bakú, Azerbaiyán. La primera innovación es la mapeo automático de factores de emisión en SAP Sustainability Footprint Management, que puede reducir hasta un 80% el esfuerzo manual en el cálculo de las huellas de carbono. La segunda es la generación de informes ESG asistida por IA en SAP Sustainability Control Tower, que puede reducir el tiempo de recolección de métricas ESG en un 98% y el tiempo de creación de informes en un 80%

Las soluciones aprovechan tecnologías avanzadas como modelos de lenguaje de gran tamaño, técnicas de grounding SQL y Generación Aumentada por Recuperación (RAG) para garantizar la seguridad y precisión de los datos. Según el informe de KPMG de febrero de 2024, más de la mitad de los ejecutivos en sostenibilidad priorizan la IA para mejorar el análisis de datos y las capacidades ESG.

Estas innovaciones representan el compromiso de SAP de utilizar la IA para el impacto ambiental, con planes futuros que incluyen la integración con el copiloto de IA de SAP, Joule, para recomendaciones sostenibles accionables.

SAP는 아제르바이잔 바쿠에서 열린 COP29를 맞아 두 가지 주요 AI 기반 지속 가능성 솔루션을 공개했습니다. 첫 번째 혁신은 SAP Sustainability Footprint Management에서의 자동화된 배출 계수 매핑으로, 탄소 발자국 계산에서 수작업 노력을 최대 80%까지 줄일 수 있습니다. 두 번째는 SAP Sustainability Control Tower에서의 AI 지원 ESG 보고서 생성으로, ESG 지표 수집 시간을 98%, 보고서 작성 시간을 80% 단축할 수 있습니다.

이 솔루션은 데이터 보안과 정확성을 보장하기 위해 대규모 언어 모델, SQL 그라운딩 기술 및 검색 증강 생성(RAG) 등 첨단 기술을 활용합니다. 2024년 2월 KPMG 보고서에 따르면, 지속 가능성 임원 중 절반 이상이 데이터 분석 및 ESG 역량 향상을 위해 AI를 우선시하고 있습니다.

이러한 혁신은 SAP의 환경적 영향을 위한 AI 활용의 약속을 나타내며, 향후 계획에는 실행 가능한 지속 가능성 추천을 위한 SAP의 AI 코파일럿 Joule와의 통합이 포함됩니다.

SAP a dévoilé deux solutions clés de durabilité pilotées par l'IA à l'ouverture de la COP29 à Bakou, en Azerbaïdjan. La première innovation est la cartographie automatisée des facteurs d'émission dans la gestion de l'empreinte de durabilité de SAP, qui peut réduire jusqu'à 80 % l'effort manuel pour le calcul des empreintes carbone. La seconde est la génération de rapports ESG assistée par l'IA dans la Tour de Contrôle de Durabilité de SAP, qui peut réduire de 98 % le temps de collecte des métriques ESG et de 80 % le temps de création de rapports.

Les solutions tirent parti de technologies avancées telles que des modèles de langage de grande taille, des techniques de grounding SQL et la génération augmentée par récupération (RAG) pour garantir la sécurité et l'exactitude des données. Selon le rapport de KPMG de février 2024, plus de la moitié des dirigeants en durabilité privilégient l'IA pour améliorer l'analyse des données et les capacités ESG.

Ces innovations représentent l'engagement de SAP à utiliser l'IA pour l'impact environnemental, avec des projets futurs comprenant l'intégration avec le copilote IA de SAP, Joule, pour des recommandations de durabilité actionnables.

SAP hat anlässlich der Eröffnung der COP29 in Baku, Aserbaidschan, zwei wichtige KI-gesteuerte Nachhaltigkeitslösungen vorgestellt. Die erste Innovation ist die automatisierte Emission-Faktor-Kartierung im SAP Sustainability Footprint Management, die den manuellen Aufwand bei der Berechnung des CO2-Fußabdrucks um bis zu 80 % reduzieren kann. Die zweite ist die KI-unterstützte ESG-Berichterstellung im SAP Sustainability Control Tower, die die Zeit zur Sammlung von ESG-Kennzahlen um 98 % und die Zeit zur Erstellung von Berichten um 80 % verkürzen kann.

Die Lösungen nutzen fortschrittliche Technologien, darunter große Sprachmodelle, SQL-Grundtechniken und Retrieval Augmented Generation (RAG), um Daten-sicherheit und -genauigkeit zu gewährleisten. Laut dem Bericht von KPMG aus Februar 2024 priorisieren über die Hälfte der Nachhaltigkeitsverantwortlichen die KI zur Verbesserung der Datenanalyse und der ESG-Funktionen.

Diese Innovationen spiegeln SAPs Engagement wider, KI für Umweltwirkungen zu nutzen, wobei zukünftige Pläne die Integration mit SAPs KI-Co-Pilot Joule für umsetzbare Nachhaltigkeitsempfehlungen umfassen.

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NORTHAMPTON, MA / ACCESSWIRE / December 5, 2024 / SAP
Feature by Gunther Rothermel

As the 29th UN Climate Change Conference (COP29) opens in Baku, Azerbaijan, the global community continues to face an urgent call to action on climate change. Coordinated, innovative solutions are paramount to addressing this complex crisis, and advanced technology - especially AI - stands as a powerful enabler for transitioning to a net-zero economy. Recognizing AI's potential to drive climate action, SAP has delivered two use cases that highlight how AI-driven sustainability software can streamline processes, eliminate manual work, and enhance precision.

With automated Emission Factor Mapping in SAP Sustainability Footprint Management and AI-assisted ESG Report Generation in SAP Sustainability Control Tower, SAP can support companies in setting meaningful environmental targets, ensuring compliance, and managing carbon footprints with heightened efficiency and accountability.

"Sustainability executives are on board with artificial intelligence. More than half say improving data analysis and consolidation using AI are top actions they will be taking over the next three years to enhance ESG capabilities."

-Addressing the Strategy Execution Gap in Sustainability Reporting, KPMG, February 2024

Emission Factor Mapping in SAP Sustainability Footprint Management

To calculate product carbon footprints accurately, companies must assign emission factors to thousands of purchased products. Ideally, emission factors are provided directly by suppliers, but often companies need to use industry averages based on product attributes like name, category, or location. Up until now, this mapping process has been a manual, time-consuming, and error-prone task that required expertise in lifecycle assessment (LCA), determining the environmental impacts associated with all the stages of the lifecycle of a product, process, or service.

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To help make this process easier and more efficient, SAP has introduced an AI-based capability within the SAP Sustainability Footprint Management solution. SAP's AI engine can automatically suggest emission factor mappings for purchased products and services and can assign a similarity score to each recommendation.

For the mapping, SAP generates embeddings for both, emission factors from LCA databases and product data from the ERP system. Embeddings are vector representations - numerical representations of textual information to provide context and meaning of a text. Both sets of embeddings are saved in SAP HANA Cloud vector engine.

The system compares these embeddings to help identify the quality of the mapping and provide suggested results. This helps businesses reduce manual effort by up to 80% and calculate product and corporate carbon footprints quicker and with greater precision, even without LCA experts. It can also accelerate their sustainability reporting timelines and help them respond faster to regulatory demands.

AI-Assisted ESG Report Generation in SAP Sustainability Control Tower

In addition, SAP embedded a generative AI-powered reporting capability within SAP Sustainability Control Tower. Creating sustainability reports that align with internal strategies and meet external standards, such as the CSRD, is essential for staying compliant and transparent. However, gathering relevant environmental, social, and governance data and drafting these reports can be highly resource-intensive, involving multiple teams and complex data sources.

That's why SAP's AI capability helps generate comprehensive ESG report drafts based on best-practice templates and the company's available ESG metrics. Once users select a template, AI can automatically collect the most relevant metrics from SAP Sustainability Control Tower, create graphs to visualize the data, and generate a polished report draft. That helps companies spend up to 98% less time collecting ESG metrics and up to 80% less time in creating a report.

Some key benefits of the feature include:

  • Efficient data utilization: The AI-powered solution leverages large language models and SQL grounding techniques, which help transform natural language inquiries into precise database queries that access real-time data from structured databases. That's how it transforms raw data from customers' systems into accurate, comprehensive reports tailored to specific timeframes.

  • Visualization: The AI generates insightful textual content through SQL-based data retrieval, helping to ensure data integrity and compliance. Additionally, it creates visually appealing charts and tables to help enhance report clarity and understanding.

  • Automated verification: Our robust system prioritizes data security by avoiding direct SQL query execution and employing a Retrieval Augmented Generation (RAG) process to help safeguard against informational discrepancies.

Watch a demo to learn more.

The Future of AI in Sustainability

The use cases above are just the beginning. AI's potential to transform sustainability management is enormous, and at SAP we are accelerating the creation of use cases to be at the forefront of our customers' sustainable transformation journeys. For example, users will be able to interact through natural language with SAP's AI copilot Joule that can offer actionable recommendations and simulations to help improve environmental and social performance. And we will continue to apply AI to make the acquisition of sustainability data easier.

Using SAP's ERP-centric, cloud-based, AI-enabled approach, we're working to ensure AI's massive potential turns into both real business transformation and sustainability outcomes. AI and technology can help us better understand and monitor the environment, improve energy efficiency, optimize resource management, and develop innovative solutions for reducing greenhouse gas emissions.

As COP29 convenes in Baku, it is essential for global leaders and decision-makers to fully explore AI's transformative role in addressing climate change. The urgent demands of this crisis call for the kind of innovative, AI-driven solutions that can unlock greater precision, efficiency, and impact. By leveraging AI not only to streamline business operations but also to set and meet ambitious environmental goals, we are shaping a future where technology empowers businesses to thrive responsibly, contributing actively to a sustainable and resilient planet.

Gunther Rothermel is chief product officer and co-GM for SAP Sustainability.

View additional multimedia and more ESG storytelling from SAP on 3blmedia.com.

Contact Info:
Spokesperson: SAP
Website: https://www.3blmedia.com/profiles/sap
Email: info@3blmedia.com

SOURCE: SAP



View the original press release on accesswire.com

FAQ

What are the two new AI sustainability solutions announced by SAP in December 2024?

SAP announced automated Emission Factor Mapping in SAP Sustainability Footprint Management and AI-assisted ESG Report Generation in SAP Sustainability Control Tower.

How much can SAP's new AI-assisted ESG reporting tool reduce report creation time?

SAP's AI-assisted ESG Report Generation can reduce report creation time by up to 80% and cut ESG metrics collection time by up to 98%.

What efficiency improvement does SAP's Emission Factor Mapping provide?

SAP's automated Emission Factor Mapping can reduce manual effort by up to 80% in calculating product and corporate carbon footprints.

What technologies does SAP use to ensure data security in its new AI sustainability solutions?

SAP uses large language models, SQL grounding techniques, and Retrieval Augmented Generation (RAG) process to ensure data security and accuracy.

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