TextReveal ESG Alerts, a better way to research and monitor your investment portfolio
September 13, 2022
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5 mins read
SESAMm is proud to announce the launch of our latest solution: TextReveal® ESG Alerts. TextReveal ESG Alerts identifies ESG risks1 and positive impact coverage2 in over 100 languages by tracking mentions of your entire portfolio across 20 billion historical articles with millions of new ones added daily in near real-time.
1 Inspired by SASB and other major standards. 2 Based on UN SDGs.
Why use TextReveal ESG Alerts for your portfolio
Environmental, social, and governance (ESG) ratings have become a conventional measure of a company’s risk against those business areas. They are also increasingly critical as legislation and stakeholders focus on sustainability, positive impact initiatives, and corporate social responsibility (CSR). So with the practice of ESG rating, investors have been able to use those scores to make decisions about their portfolios. Of course, investors are committed to a greener future, too.
Unfortunately, traditional ESG ratings come with challenges. For example, according to Andrew McLaughlin, a contributor to The Globe and Mail, many ESG rating providers are “popping up like dandelions,” and “each uses its own methodologies to rank and score publicly traded companies based on their purported environmental, social and governance risk and performance.” Further, you might have access to ratings, but they’re only updated once per quarter or once yearly.
With SESAMm’s TextReveal ESG Alerts, you can access consistent, timely daily data on five million public and private companies to better assess risks and receive early warnings.
Figure 1: In 2020, U.S. news sentiment falls ahead of the stock market in response to COVID-19 concerns.
The model can calculate sentiment for each company by analyzing the news of individual companies. It’s also possible to create a composite to measure the sentiment related to a stock index. The sentiment data also helps management and investor relations because it provides a quantitative means of understanding the extent to which investors are concerned about certain news about their company.
Verifying the results
Verification using Japanese has revealed that the timing of bottoming and ceiling of text sentiment precedes those of stock prices. The collaborating team compared the performance of:
A model that uses only orthodox financial and economic data as inputs
A model that considers NLP and financial and economic data, confirming that the latter could generate higher alpha
ESG controversy monitoring can alert you to potential risks before market-moving events occur. Illustrated: Tesla ESG scores for pollutants, ethical standards, discrimination, and environmental impact.
The TextReveal ESG Alerts edge
Broad coverage
Access five million private and public companies of all sizes, including micro-caps, to identify risks in over 100 languages.
Expertise
Leverage ninety pre-built yet taxonomy-adaptable ESG risk categories such as SASB standards, UN Global Compact, and UN SDG-based positive impact statistics coverage.
Transparency
Gain insights with deeper analysis, seeing specific articles driving your alerts.
Timeliness
View live web data for forward-looking scores and insights.
TextReveal ESG Alerts features
Because we trained them on a representative corpus selected from billions of articles from prestigious news organizations, local news, and discussion forums, our NLP tools can understand finance and interpret slang, misspellings, and textspeak.
Get an ESG and UN SDG dashboard view of your portfolio.
The best part is that you can receive alerts and monitor scores in the way that works best for you. ESG and UN SDG‐based positive impact statistics can be accessed and delivered via:
Email Alerts
CRM and cloud based integration
Live dashboards
API and data files
ESG studies
Get the SESAMm edge from TextReveal ESG Alerts
Save time vetting your current investments and evaluating new ones while providing higher quality, objective results compared with manual monitoring, black-box ratings, or self-reported questionnaires.
Reach out to a SESAMm representative for a personal demo today.
Corporate responsibility and sustainability are not just buzzwords anymore but integral aspects of business strategy. The importance of Environmental, Social, and Governance (ESG) compliance cannot be overstated. With the introduction of stringent and complex regulations like the CS3D, corporations face an unprecedented challenge in aligning their operations with these evolving standards. This is where Artificial Intelligence (AI) steps in, offering not just a solution but a transformative approach to staying ahead in the ESG compliance game.
The New ESG Compliance Challenge: CS3D Regulation and Beyond
The CS3D regulation marks a pivotal change in the corporate world, demanding greater diligence and transparency in sustainability practices. This regulation encompasses a broad spectrum of ESG aspects, from environmental impact to social responsibility and governance standards. It necessitates a comprehensive approach to due diligence, extending beyond the corporation to its entire supply chain. This means every partner, supplier, and stakeholder must align with these stringent standards, complicating compliance efforts.
However, CS3D is just the tip of the iceberg. Other regulations like the EU Green Taxonomy and the German Supply Chain Law further add layers to this complex regulatory tapestry. Each of these regulations brings its own set of challenges and nuances, making it increasingly difficult for corporations to keep pace using traditional compliance methods.
Understanding CS3D in Depth
Delving deeper into the CS3D regulation, it's clear that its impact is far-reaching. Corporations are now required to ensure their practices are sustainable and ethical and verify that their suppliers and partners adhere to similar standards. This means conducting thorough audits, maintaining a high level of transparency, and being accountable for the entire supply chain's ESG impact. The regulation also demands regular reporting and public disclosure of these practices, adding another layer of complexity to compliance.
Broader ESG Regulatory Landscape
While focusing on CS3D, it's essential to understand its place within the broader ESG regulatory landscape. Regulations like the EU Green Taxonomy, which classifies sustainable activities and investments, and the German Supply Chain Law, which focuses on human rights and environmental standards in supply chains, complement CS3D's objectives. Together, they create a comprehensive framework that guides corporations toward more ethical, sustainable, and socially responsible business practices.
AI: A Game-Changer in ESG Compliance
The advent of AI technologies has opened new avenues for corporations to manage their ESG compliance needs effectively. AI's capability to process vast amounts of data, identify patterns, and predict outcomes is invaluable in navigating the complexities of ESG regulations.
Real-Time Controversy and Reputational Risk Monitoring
One of the most significant advantages of AI in ESG compliance is its ability to monitor and analyze textual data in real-time. This is crucial in the context of regulations like CS3D, where ongoing vigilance is necessary. AI algorithms can sift through vast amounts of text data from various sources – news, reports, social media, etc., to identify potential controversies and non-compliance issues. This proactive approach enables corporations to address issues before they escalate, ensuring continuous alignment with regulatory standards.
Enhanced Supply Chain Management
Another critical area where AI makes a significant impact is in supply chain management. Under regulations like CS3D, corporations must ensure that their entire supply chain complies with ESG standards. AI-driven tools can analyze supplier data, audit reports, and other relevant information to provide a comprehensive view of the supply chain's compliance status. This helps identify potential risks, assess supplier performance, and make informed decisions about partnerships and procurement strategies.
Case Studies and Success Stories
Illustrating the power of AI in ESG compliance, several corporations have successfully leveraged these technologies to meet regulatory requirements. For instance, a leading multinational company used AI-driven analytics to monitor its global supply chain, ensuring compliance with CS3D and other ESG regulations. The AI system provided real-time insights into supplier practices, flagged potential risks, and enabled the company to take proactive measures to maintain compliance.
SESAMm: Pioneering AI-Driven ESG Compliance
At SESAMm, we specialize in providing AI-powered solutions tailored to the unique challenges of ESG compliance. Our flagship product, TextReveal, is a testament to our commitment to innovation in this field.
SESAMm utilizes advanced natural language processing and machine learning algorithms to analyze unstructured data from multiple sources. It provides actionable insights that help corporations monitor ESG risks, understand regulatory changes, and maintain compliance. By leveraging TextReveal, corporations can:
Continuously monitor global news, social media, and other data sources for ESG-related risks and opportunities.
Conduct thorough sentiment analysis and trend forecasting to anticipate potential compliance issues.
Gain a deeper understanding of the ESG landscape and the evolving regulatory requirements.
Partnering for Success
Our partnership with leading corporations and financial institutions exemplifies the effectiveness of our AI-driven approach. By collaborating with SESAMm, these organizations have enhanced their ESG compliance strategies, effectively navigated the regulatory landscape, and made more informed decisions.
Staying ahead of the curve in the rapidly evolving world of ESG compliance is not just about meeting regulatory requirements – it's about leading the way in corporate responsibility and sustainability. AI technologies, with their unparalleled capabilities in data analysis and predictive insights, are the key to this leadership.
As pioneers in AI-driven ESG compliance solutions, SESAMm is committed to helping corporations navigate these challenges. Our innovative tools and expertise are designed to empower you to meet and exceed regulatory standards confidently. We invite you to explore the potential of AI in transforming your ESG compliance strategy and join us in shaping a more sustainable, ethical, and compliant corporate future.
SESAMm’s AI Technology Reveals ESG Insights
Discover unparalleled insights into ESG controversies, risks, and opportunities across industries. Learn more about how SESAMm can help you analyze millions of private and public companies using AI-powered text analysis tools.
In an era where global supply chains span continents and consumer goods can travel through dozens of hands before reaching store shelves, the challenge of ensuring ethical production has never been more complex. Against this backdrop, the recent warning from Parliament's Joint Committee on Human Rights should serve as a wake-up call for policymakers, businesses, and consumers alike.
The committee's stark assessment that the UK risks becoming a "dumping ground" for goods made using forced labor comes at a critical juncture. As other major economies implement increasingly stringent measures to block exploitative products from their markets, Britain's relatively lax approach threatens to make it an attractive destination for goods that can no longer find entry elsewhere.
The Hidden Reality of Modern Supply Chains
The scale of forced labor in global supply chains is both vast and largely invisible to end consumers. When we purchase everyday items, from clothing and electronics to food products, few consider the working conditions of those who produce them. Yet the uncomfortable truth is that forced labor affects virtually every industry and touches supply chains that ultimately reach consumers.
The British Joint Committee on Human Rights has identified a critical vulnerability: while other nations strengthen their regulatory frameworks to combat forced labor imports, the UK appears to be falling behind.¹ This regulatory gap creates a concerning dynamic where goods rejected by more stringent markets could increasingly find their way to British shores.
International Developments and Competitive Disadvantage
The committee's findings become particularly significant when viewed against recent international developments. Major economies have been implementing increasingly robust measures to prevent forced labor goods from entering their markets, creating higher barriers for ethically questionable products. This trend places the UK in a precarious position, potentially becoming the path of least resistance for exploitative goods seeking entry into Western markets.
The economic implications extend beyond moral considerations. British businesses operating in global markets face growing pressure to demonstrate ethical supply chain practices. Companies that cannot adequately address forced labor risks may find themselves at a competitive disadvantage as international standards continue to evolve.
The Committee's Clear Recommendations
The parliamentary committee's primary recommendation, implementing import bans on goods linked to forced labor, represents a significant departure from the UK's current approach. The existing framework, which relies heavily on voluntary corporate reporting and due diligence measures, has proven insufficient to address the scale and complexity of modern forced labor.
This recommendation aligns with best practices emerging globally. Governments are taking more direct action to prevent exploitative goods from entering their markets. The question is no longer whether such measures are necessary but how quickly they can be implemented effectively.
Practical Challenges and Solutions
Implementing comprehensive anti-forced labor measures presents genuine challenges, particularly for small and medium-sized enterprises that may lack the resources for extensive supply chain monitoring. However, these challenges should not deter action; they should inform the design of practical support systems.
Businesses need access to reliable tools and guidance for identifying forced labor risks in their supply chains. Government agencies, industry associations, and civil society organizations must collaborate to develop accessible resources that enable companies of all sizes to participate meaningfully in ethical sourcing practices.
The Path Forward
The parliamentary committee's warning represents more than a policy recommendation; it calls for Britain to reclaim its position as a leader in human rights protection. The government faces a clear choice: implement robust measures to prevent forced labor goods from entering UK markets, or risk Britain becoming known as a soft touch on fundamental human rights issues.
The urgency of this situation cannot be overstated. Each day of delay potentially allows more exploitative goods to enter British supply chains and undermines our credibility in international human rights discussions. The time for voluntary approaches and gentle encouragement has passed; decisive action is now required.
SESAMm’s AI Technology Reveals ESG Insights
Discover unparalleled insights into ESG controversies, risks, and opportunities across industries. Learn more about how SESAMm can help you analyze millions of private and public companies using AI-powered text analysis tools.
Greenwashing in ESG has become harder to detect, not easier, because the corporate playbook has matured. Claims are vaguer, disclosure is more selective. Meanwhile, two adjacent problems have grown up next to it: greenwishing and greenhushing. The biggest greenwashing risk in your portfolio probably isn't the company you suspect, it's the one you don't. This guide is about all three, and how AI surfaces them at the speed your investment process needs.
Over the past decade, many organizations have improved their carbon footprints, from recyclable and biodegradable packaging and single-use plastic to planting trees and reducing their greenhouse gas emissions. However, some businesses and companies looking to boost their eco-friendly image without committing to serious changes and addressing environmental issues have been associated with false green marketing. We call this "Greenwashing."
Defining Concepts
What is Greenwashing?
Greenwashing is a practice used by businesses to represent themselves as more sustainable than they truly are. Greenpeace and the Environmental Protection Agency define greenwashing as making false and misleading claims about a product's environmental benefits or practices, services, technology, or company practices. Greenwashing typically involves companies spending more money on advertising and marketing than on implementing sustainable business practices that minimize environmental impact. These false green claims can deceive consumers into believing that a product or company is more environmentally friendly than it is, leading to increased sales and profits. As a result, false advertising, misleading initiatives, and groundless claims have increased green investors' exposure to risks emerging from potential lawsuits from activist groups, image deterioration, and heavy losses in assets invested.
Greenwashing Mentions Over Time
In recent years, new concepts have emerged alongside greenwashing:
Greenwashing, Greenhushing, and Greenwishing Mentions Over Time
Greenhushing refers to a company’s refusal to publicize ESG information. The company may fear pushback from stakeholders who would find its sustainability efforts lacking or from investors who believe ESG undermines returns.
Greenwishing, or unintentional greenwashing, describes a practice where a company hopes to meet certain sustainability commitments but simply does not have the means to do so.
High-Profile Greenwashing Case Studies
When talking about greenwashing, the usual suspects are the oil and gas industry, the food and beverage sector, and other environmentally impactful industries. However, the financial industry has also been embroiled in its own greenwashing controversies.
It’s challenging to produce an accurate assessment of environmental, social, and governance (ESG) factors, which creates opportunities for companies to hide ineffective and fake green initiatives. According to Regtank, the main challenges to detecting greenwashing include:
Lack of reporting standards – There’s no universal set of standards for ESG compliance.
Lack of transparency – Companies often don’t disclose the specifics of their “green campaigns,” making it hard for investors and consumers to verify their claims.
Limited consumer awareness – Misleading marketing can exploit consumers’ eco-consciousness and brand loyalty, reducing scrutiny of false green claims.
These gaps lead to inaccurate ESG data and scores, allowing greenwashers to avoid accountability. Ultimately, detecting greenwashing requires careful scrutiny of company claims and a deep understanding of their supply chains and operations.
How Artificial Intelligence Detects Greenwashing
As greenwashing practices become more common, activist investors, journalists, and the general public are using social media, news outlets, and blogs to highlight false claims. Artificial intelligence (AI) has become an invaluable tool in the early detection of greenwashing by analyzing vast amounts of public data.
At SESAMm, we use generative AI and LLMs to identify greenwashing risks across billions of web-based articles. Our data lake covers over 25 billion articles in more than 100 languages from four million news sources, blogs, social media platforms, and forums, analyzing data on five million public and private companies. Through our AI platform, we generate reliable, timely, and comprehensive insights to detect greenwashing, monitor ESG controversies, and identify related risks.
The CSRD significantly strengthens the requirements for companies to substantiate their sustainability commitments. Mandating standardized and detailed ESG disclosures directly addresses the practice of greenwashing, where companies exaggerate their environmental credentials in marketing without meaningful follow-through. Under the CSRD, companies can no longer rely on vague or selectively presented data—any gaps or inconsistencies in their sustainability claims will be exposed in public filings, making greenwashing much riskier. This means an end to cherry-picked data and a shift toward more comprehensive, comparable, and verifiable ESG performance for investors and stakeholders.
The CSDDD (if it stands) further reinforces these efforts by obligating companies to go beyond marketing statements and prove they’re actively managing environmental and human rights impacts throughout their supply chains. This directive closes loopholes that greenwashing often exploits, such as highlighting only direct operations while ignoring supplier practices. By requiring due diligence on environmental impacts across the value chain, the CSDDD aims to turn sustainability from a branding exercise into a legal and operational priority. If real supply chain actions don’t support a company’s green claims, it could face legal action and reputational damage.
Looking Ahead
Looking ahead, greenwashing will continue to face intense scrutiny from regulators, investors, and the public. With evolving regulatory frameworks like CSRD and CSDDD, the pressure is on for companies to ensure genuine environmental responsibility—not just green advertising. At SESAMm, we believe that the combination of regulatory rigor and advanced AI technologies will play a critical role in uncovering false green claims and supporting investors in navigating ESG risks with greater transparency and accountability.
SESAMm’s AI Technology Reveals ESG Insights
Discover unparalleled insights into ESG controversies, risks, and opportunities across industries. Learn more about how SESAMm can help you analyze millions of private and public companies using AI-powered text analysis tools.
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