VOGOSEN
We build proprietary AI-Powered ESG Information Systems for investors.
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ESG is becoming an integral part of investing
Investors need to demonstrate that their investment processes are integrating ESG in an effective and meaningful way. To optimize performance, they must ensure portfolio managers, sales, and compliance teams have timely access high quality ESG data, in formats that allow them to leverage the data materially for decision-making.
Investors want to increase ESG expertise and sharing across teams in the organization and show a consistent and transparent approach to ESG to their clients.
Vogosen helps you achieve your ESG goals
We bring together deep technology, analytics, business, and sustainability expertise and deliver advanced yet proven technologies , on demand and on time.
We work closely with investors to build AI-Powered ESG Information Systems in a progressive manner, allowing the investors to grow their internal organizational capabilities that, alongside customized, proprietary AI modules and information systems, ensure lasting competitive advantage.
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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...
13 Dec 2022 · 2023 is the right time for investors to upgrade their ESG information systems so that when ESG returns to the fore they are in a stronger position than the competition.
25 Jan 2022 · Vogosen is pleased to announce that a new SDG Goal Identifier Tool has just joined our ESG Materiality Mapping Tool and SASB-SDG Mapping Tool in our list of Free ESG Tools.
02 Jan 2022 · Vogosen is finalizing an SDG text classification AI algorithm, which we look forward to releasing as open source software in the coming weeks.
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.