AI – Clarity AI

AI, Webinars • March 21, 2024 • Ben Macdonald (CMSI Group), Greg Van Droogenbroeck (Lazard AM), Patricia Pina (Clarity AI)

Webinar: The Future of Sustainability Data in an AI-driven Market

Explore the dynamic data landscape in the sustainability industry and gain insight into the evolving needs and expectations of investors and their stakeholders as we navigate through key topics such as the demand for transparency in the sustainability industry, the evolution of data availability and accuracy over time, and where the marke...

AI, Webinars • March 7, 2024 • Monika Freyman. (Addenda Capital), Ángel Agudo (Clarity AI)

Webinar: Building Sustainability Credentials — Can AI End Greenwashing?

In the second of three webinar in this series, the risk of greenwashing in sustainable investing is discussed. What is it and why is it still prevalent? With heightened public scrutiny, especially in the European and North American markets, how can asset managers and other industry participants mitigate greenwashing?

AI, Webinars • February 15, 2024 • Gregory Van Droogenbroeck (Lazard Asset Management), Marsal Gavaldà (Clarity AI)

Webinar: AI-Powered Sustainability: Seizing Investment Opportunities for 2024

The Artificial Intelligence revolution is already having transformative effects across many sectors of the economy. AI is expected to contribute an astounding $15.7 trillion to the global economy by 2030, according to PwC. Embracing AI techniques empowers investors to easily integrate sustainability considerations into their investment pr...

AI, EU Taxonomy • December 14, 2023 • Walter Alzurutt, Luis Angolotti

EU Taxonomy Reporting: Maximizing Coverage with High-Quality Supplementary Data

How public disclosures help address the information gap for companies not reporting Taxonomy Alignment The financial sector continues to play a central role in the EU’s efforts to become Net Zero by 2050, including through the sector’s central role in flagship sustainable policies such as the Sustainable Finance Disclosure Regulation ...

AI • November 3, 2023

AI’s Role in Making ESG Data More Reliable

AI can play an important role in providing quality data with automation and scale for asset managers’ ESG-minded client portfolios.

AI, Climate, Webinars • February 24, 2023 • Jean Charles Prabonneau, Grace Brennan, Stephan Freelink (Finner)

Webinar: How Can Advanced Technology Help Source Scope 3 Data

Because Scope 3 emissions happen outside of a company's direct control, it is harder to access exhaustive and reliable data. However accounting for these carbon emissions is paramount to fighting climate change. In this webinar, experts from Clarity AI and Finner look at the gaps and questions that still persist on how to measure Scope 3 ...

AI, Data Coverage, Technology • August 3, 2022

Opaque ESG ratings are no longer satisfying investors, regulators and corporate leaders

Independent research firm releases report on ESG ratings solutions In a recent report, The Forrester New Wave™: ESG Ratings, Data, And Analytics, Q3 2022, the independent research firm outlines that “Opaque ESG ratings are no longer satisfying investors, regulators, and corporate leaders.” Yet, “At the same time, leadi...

AI, Data Coverage, Technology • August 3, 2022

La falta de transparencia en las calificaciones ASG ya no convence a inversores, reguladores ni grandes empresarios

Consultora independiente publica informe sobre soluciones de calificaciones ASG En su informe “The Forrester New Wave™: ESG Ratings, Data, And Analytics, Q3 2022”, la consultora independiente Forrester destaca que “la falta de transparencia en las calificaciones ASG ya no convence a inversores, reguladores ni grandes empresari...

AI, ESG Impact • July 27, 2022

Achieving Values Alignment in ESG and Impact Strategies

The ESG and Impact universe has proliferated in recent years. As asset owners increasingly commit to reaching net zero emissions and contributing to the UN Sustainable Development Goals, managers have raced to provide investment products that offer ‘ESG’ or ‘Impact’. In practice, however, these terms are often vaguely defined and ...

AI, Data Coverage, Regulatory Compliance, Technology • February 7, 2022

How Can AI Fill In the Gaps for Full SFDR Compliance?

Research shows that SFDR PAIs coverage gaps are a main challenge of SFDR compliance The European Union’s Sustainable Finance Disclosure Regulation (SFDR) could revolutionize sustainability reporting—and, in turn, rescope the data that companies track to measure their ESG performance. The purpose of SFDR is to improve the transparency ...

AI, Data Coverage, Regulatory Compliance, Technology • February 3, 2022

Sustainable Investing: How Data Science can Improve Reliability of Reported Data

Clarity AI standardizes ESG data to establish a reliable database prior to the implementation of CSRD reporting Sustainability performance data are still in their early days. The Corporate Sustainability Reporting Directive (CSRD) will eventually make these data part of companies’ annual reports with third- party auditing. However, CSRD...

AI, Data Coverage, Regulatory Compliance, Technology • January 25, 2022

Natural Language Processing (NLP) to Improve SFDR Reporting

SFDR Reporting Solution: Clarity AI’s controversy scoring system provides consistent incident assessment Most of the solutions available in the market for the analysis of companies’ behavior rely heavily on the manual assessment of news or on sentiment analysis, leading to weaknesses like subjective assessment, volume limitation, ...

AI, Data Coverage, Regulatory Compliance, Technology • January 8, 2022

How Machine Learning Can Expand Sustainability Data Coverage

Using estimation models to improve sustainability reporting Lack of data coverage is a major hurdle that can be overcome through the use of machine learning. Today, 80% of listed companies do not report required sustainability data. That means that, regardless of reliability issues, only 20% of publicly listed companies report comprehensi...

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AI, Data Coverage, Regulatory Compliance, Technology, Whitepapers • December 10, 2021

How Data Science Can Enable SFDR Reporting

Enabling SFDR reporting is an essential dimension of bringing societal impact to markets. This paper on SFDR presents three specific use cases that showcase the merits of enabling reporting via data science.

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AI

Webinar: The Future of Sustainability Data in an AI-driven Market

Webinar: Building Sustainability Credentials — Can AI End Greenwashing?

Webinar: AI-Powered Sustainability: Seizing Investment Opportunities for 2024

EU Taxonomy Reporting: Maximizing Coverage with High-Quality Supplementary Data

AI’s Role in Making ESG Data More Reliable

Webinar: How Can Advanced Technology Help Source Scope 3 Data

Opaque ESG ratings are no longer satisfying investors, regulators and corporate leaders

La falta de transparencia en las calificaciones ASG ya no convence a inversores, reguladores ni grandes empresarios

Achieving Values Alignment in ESG and Impact Strategies

How Can AI Fill In the Gaps for Full SFDR Compliance?

Sustainable Investing: How Data Science can Improve Reliability of Reported Data

Natural Language Processing (NLP) to Improve SFDR Reporting

How Machine Learning Can Expand Sustainability Data Coverage

How Data Science Can Enable SFDR Reporting

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Access the Webinar

Solutions

Needs

Datasets

AI

Webinar: The Future of Sustainability Data in an AI-driven Market

Webinar: Building Sustainability Credentials — Can AI End Greenwashing?

Webinar: AI-Powered Sustainability: Seizing Investment Opportunities for 2024

EU Taxonomy Reporting: Maximizing Coverage with High-Quality Supplementary Data

AI’s Role in Making ESG Data More Reliable

Webinar: How Can Advanced Technology Help Source Scope 3 Data

Opaque ESG ratings are no longer satisfying investors, regulators and corporate leaders

La falta de transparencia en las calificaciones ASG ya no convence a inversores, reguladores ni grandes empresarios

Achieving Values Alignment in ESG and Impact Strategies

How Can AI Fill In the Gaps for Full SFDR Compliance?

Sustainable Investing: How Data Science can Improve Reliability of Reported Data

Natural Language Processing (NLP) to Improve SFDR Reporting

How Machine Learning Can Expand Sustainability Data Coverage

How Data Science Can Enable SFDR Reporting

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