Solutions
ESG
Semantic Visions news media analysis platform provides organizations with insights into the ESG (Environmental, Social, and Governance) performance of their clients, vendors, partners and competitors.
Using advanced AI and Natural Language Processing (NLP) technologies, the platform scans local and global news media for relevant ESG topics and provides detailed and accurate insights into the performance of monitored organizations.
We track and detect client-relevant online events related to more than 50 ESG event types, including:
-
Fair Labor Practices
-
Freedom of Association & Unions
-
Diversity & Inclusion in the Workplace
-
Women’s Empowerment
-
Nature & Environment Best Practices
-
Resource Sustainability
-
Human Rights Concerns
-
Corruption Practices
-
Data Privacy Concerns
Client deliverables – Adverse media ESG analysis
Our solution will enable you to assess the sustainability of a large number of organizations, including any negative press or articles about a company’s environmental, social, and governance practices. The distilled information provides insight into how a company is perceived by the public, and how their actions and policies may affect the environment, risk management, and corporate governance. Information picked in adverse media articles also provide evidence of a company’s performance in meeting its ESG plans / commitments.
By reviewing this information, clients gain an additional parameter in a company’s overall ESG performance and make more informed decisions.
Two modes of ESG delivery:
-
Near-real time ESG monitoring in 12 languages.
-
ESG screening in a 5-year history data.
Additional ESG backstory
For companies of all sizes, monitoring ESG (Environmental, Social, and Governance) compliance is essential for supply chain continuity and reputation management. With SV’s fully automated AI-led solutions, we can detect potential issues that could negatively affect your business – from environmental disasters and human rights violations, to labor disputes and unethical practices.
Typically, companies monitor online news for adverse ESG events using keyword-based searches or AI algorithms without human intervention. These approaches can be time consuming, ineffective, and make it difficult to measure impact.