Latest Concept Posts on ESG
Why is ESG data a challenge that represents tremendous opportunity? What can Vogosen contribute to your ESG data operations? How do we materialize your ESG data for your investment strategy with AI? Find the answers here.
13 Jun 2023 · New and evolving ESG issues and their impacts, in 2023, now pose emerging challenges that investors who wish to maximize returns for their investors must address on the ESG front. They highlight the importance of incessant adaptation of ESG frameworks...
12 Dec 2021 · We conclude our AI in ESG concept series with a couple of more concrete subjects: data mining architecture and application design.
05 Dec 2021 · ESG has its own language that necessitates a distinct approach to applying Natural Language Processing (NLP) in an ESG information system. In this post, we discuss this with regards to AI features such as classification, ontology, and sentiment analysis.
28 Nov 2021 · Vogosen recommends progressive deployment of AI-powered ESG information systems. In this article, we discuss the six steps that we take with investors to ensure smooth integration into the investor's investment progress.
21 Nov 2021 · ESG compliance necessitates timely processing of large quantities of unstructured data, a task that AI is particularly strong at. With AI-Powered ESG Reporting Assistance, investors can speed up ESG reporting, contain costs, and reduce compliance risks.
13 Nov 2021 · In ESG, investors that can identify opportunities before they materialize to reap the most rewards. AI-Powered ESG Opportunity Radar leverages Big-Data at multiple levels to achieve real-time warning and forecasts on material ESG issues.
06 Nov 2021 · Effective investment decision-making increasingly depend on clear, data-driven ESG risk assessment: An AI-powered ESG Risk Assessment system makes this feasible. It can also integrate into an investor's risk management system seamlessly.
28 Oct 2021 · ESG Sensor is a collection of AIs that help investors monitor large quantity of fast-changing data in order 1) to identify actionable ESG events, and 2) to forecast the impacts of these events before they materialize.
18 Oct 2021 · ESG materiality is a dynamic construct, due to the heterogeneity in the environment in which a company operates and to the continually-evolving nature of each materiality issue. Investors can leverage AI to conduct ESG materiality appraisal dynamically.
04 Oct 2021 · AI-powered information systems should be the core of a data-driven ESG strategy: It is uniquely able in tackling the data challenges that ESG presents, and it helps organizations build lasting capabilities.
28 Jul 2021 · Investors and businesses are under pressure to deliver impact on society as laid out under UN's SDGs framework. With NLP, our AI matches SDGs with SASB's ESG material aspects, giving investors and businesses an edge in achieving their ESG goals.
23 Jul 2021 · Vogosen proposes a 5C framework to building an effective ESG information system. Here, we cover the first two steps: 1. Categorize and map data sources, and 2. Centralize access to data with database and APIs