Webinar Replay: The Boeing Scandal: Can AI Predict Controversies Before Traditional Tools?
October 3, 2024
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5 mins read
In our recent webinar, "The Boeing Scandal: Can AI Predict ESG Controversies?" Sylvain Forté, SESAMm’s CEO and Co-founder, along with Emna Abid, Research and Analytics Team Lead, focused on the important role AI plays in detecting and predicting ESG controversies. They explored how AI provides early warning signals for potential crises, using Boeing’s well-known 737 Max scandal as a central example.
The webinar addressed the challenges businesses face when relying on traditional tools to monitor ESG risks. Traditional methods often struggle to capture early signals, particularly when dealing with unstructured data from local news, NGO reports, or social media. SESAMm’s AI solution overcomes this issue by continuously analyzing vast amounts of data in real time to identify red flags that may not be visible through conventional ESG tools.
Using Boeing’s 737 Max crisis as a case study, the webinar demonstrated how SESAMm's AI Solutions detected early warnings before the controversy escalated. The AI system flagged crucial information from whistleblower reports and localized sources well before the issues became major public scandals.
"ESG factors are no longer just secondary concerns. They are at the forefront of how this industry is perceived by the public, investors, and regulators." Emna Abid - Research & Analytics Team Lead, SESAMm
The webinar also touched on the broader aerospace industry, which has faced heightened scrutiny for its environmental and governance issues. The analysis revealed how AI can help companies in high-risk sectors stay ahead of controversies by providing real-time insights and helping them navigate the complex landscape of ESG compliance and public perception.
To sum up, AI is revolutionizing ESG risk detection, providing companies with the ability to identify early warning signs of potential controversies before they escalate into major crises. By analyzing vast amounts of unstructured data in real time, SESAMm’s AI platform helps organizations navigate complex ESG landscapes, particularly in high-risk industries like aerospace. This proactive approach enables businesses to protect their reputation, make more informed decisions, and ensure compliance with evolving ESG standards.
To explore these insights further, be sure to watch the full webinar replay.
As the year closes, it's time to reflect on some of your favorite pieces of content, so we've compiled a list of the top 8 blog posts highlighting the most popular and insightful content we've published. From investor guides to detecting greenwashing practices, these posts have resonated with you, our readers, and hopefully, continue to provide valuable information and inspiration. Join us as we look back at the top 8 posts of the year and see what made them stand out.
This piece explains the pivotal role of knowledge graphs in enhancing text analysis for investors. It clarifies how these graphs contribute to a more nuanced understanding of data, aiding in investment decisions. Readers appreciated the clear, practical insights into how knowledge graphs strengthen SESAMm’s cutting-edge AI technology.
In this article, Sylvain Forté presents an optimistic view of the future of AI in the financial sector, focusing on the rapid advancements in AI. He discusses how these technologies are evolving and what this means for investors and companies alike. Readers were captivated by the forward-looking perspective and practical implications of these innovations.
This article serves as a guide on the relationship between Sustainable Development Goals (SDGs) and AI. It explains how AI facilitates the identification and tracking of SDG-aligned investment opportunities. Our audience found the straightforward approach and practical examples particularly enlightening for understanding the intersection of sustainability and technology.
Highlighting SESAMm's innovative approach, this piece details the incorporation of generative AI into ESG risk mitigation. It underscores the significant improvements in process efficiency and accuracy, which resonated well with our audience, particularly those keen on technological advancements in finance.
This guide offers a practical look at how AI is revolutionizing and simplifying ESG data for investors. It provides real-world examples and strategies, making it a favorite among readers for its direct application in their investment processes.
This article addresses the increasingly relevant issue of greenwashing, showcasing how AI tools are employed to detect and mitigate it. The relevance of this topic in today’s sustainability-focused investment landscape made this article highly popular among our readers.
This comprehensive ebook gained popularity for its detailed exploration of AI’s role in distinguishing between genuine and deceptive sustainability initiatives. It provided readers with a deeper understanding of the intricacies involved in evaluating sustainability claims, making it a valuable resource. Download the ebook.
Topping our list is the announcement of SESAMm’s Series B2 funding. This milestone article not only signifies SESAMm's growth and success but also reflects the increasing importance of ESG and sentiment analysis in the financial world. The article’s blend of business success and industry relevance made it the year’s highlight for our readers.
Thank you for reading through this year's eight most popular blog posts. Which is your favorite, and how would you rate them?
As we mark Earth Day 2025, it’s clear we’re at a defining moment. Despite decades of activism and innovation, the ecological crisis continues to accelerate, driven by climate change, biodiversity loss, and unsustainable resource use. But alongside this growing threat is a growing opportunity: the ability to harness artificial intelligence (AI) and data to drive more responsible business practices and environmental stewardship.
The warning signs are everywhere. By early 2025, Earth’s average surface temperature reached 13.0°C (55.4°F)—pushing us closer to climate tipping points. The first three months of this year were among the hottest on record, with unprecedented temperature anomalies in both the Arctic and Antarctic regions.
Global greenhouse gas emissions reached 37.8 billion metric tons in 2024, driven largely by fossil fuel use, agriculture, and industrial output. Meanwhile, biodiversity is in sharp decline, with over 46,000 species threatened with extinction due to climate-related stressors like habitat loss, pollution, and extreme weather.
Plastic waste continues to acidify oceans, while urban sprawl and overconsumption accelerate deforestation. From fast fashion to factory farming, human activity is pushing planetary boundaries—and the consequences are becoming harder to ignore.
The Human Toll: Environmental Anxiety on the Rise
This crisis isn’t just environmental—it’s deeply personal. Younger generations are increasingly affected by eco-anxiety, a psychological response to fears of environmental collapse. Studies warn that by 2050, billions could face water scarcity, food system disruption, and mass migration from climate-affected regions. Overheated ecosystems, wildfires, and resource scarcity are not abstract threats—they’re the lived reality of millions.
The Role of AI and ESG in the Fight for a Livable Planet
Fortunately, powerful tools are emerging. Artificial intelligence is transforming how we track and respond to environmental, social, and governance (ESG) risks. Natural language processing (NLP) can detect greenwashing, monitor corporate behavior, and surface early warning signals of environmental harm. AI is also helping companies reduce emissions, optimize energy use, and act on regulatory and reputational risks in real time.
By integrating ESG strategy with AI-powered insights, businesses are no longer passive observers but active players in shaping a sustainable future.
Hope for Change
Despite the scale of the crisis, momentum is building. From robotic wildlife conservation to AI-enabled recycling innovations, new technologies offer hope. Companies are aligning with the UN Sustainable Development Goals (SDGs), and governments are responding with new ESG regulations and global climate pledges. But regulation and innovation are not enough—collective action is still key.
Conclusion
There’s no better time than Earth Day to commit to change. Whether it’s supporting environmental nonprofits, reducing your consumption, investing in sustainable products, or advocating for better policies, every action counts. Our window to act is narrowing, but it’s still open.
Sésame, ouvre-toi, or in English, open sesame, is the famous magical phrase that inspired us to name SESAMm 8 years ago today. And true to its name, since its inception, SESAMm has been opening doors to a new world of advanced analytics powered by natural language processing.
TRIVIA QUESTION: Why the unusual spelling of SESAMm? (Read until the end for the answer.)
Our heritage
Unlike the phrase’s magical nature in the “Ali Baba and the Forty Thieves” story, SESAMm relies on technology to open doors and uncover hidden treasures. And that has been our goal since we started the company in April 2014. Pierre Rinaldi, Florian Aubry, and I saw the vast amount of textual information available on the web, from news websites to NGO reports and social media. We set out to find a way to translate all that information into powerful, digestible, and actionable insights. In eight years, we’ve created the most extensive data lake in the industry that relies not only on social media but also on forums, review sites, and premium data. Today, the data lake comprises nearly 20 billion articles and grows by 20% year over year.
As we alluded to earlier, the real key to the treasure trove is the technology that uncovers and synthesizes all that data: artificial intelligence, particularly natural language processing (NLP). Our highly-talented technical team developed advanced algorithms to accurately “read” web articles and distill them into only the most relevant data for our users, received as signals and alerts.
From left to right: Co-founders, CTO Florian Aubry, CEO Sylvain Forté, and COO Pierre Rinaldi pictured.
In these eight years, we’ve been able to serve and work with some of the brightest minds in the industry who have trusted us with multiple challenges. Asset managers, private equity firms, and corporations leverage SESAMm’s products for investment strategies, deal sourcing, due diligence, portfolio monitoring, and ESG and positive impact indicators.
In particular, we’re using our technology to transform the ESG industry. For example, we help track controversies and monitor the positive impact for companies that no one else covers in the entire world.
Our team and values
As we proudly surpass the 100-employees mark soon, this is a good moment for us to pause and reflect on where we are and where we want to go. Our mission, tobecome the world’s reference for textual web data analysis, hasn’t changed. We’re more convinced than ever that we are on the right path to achieving that goal.
Our team collaborates between six different sites in 5 countries, many offices, and various cultures. As a deep-tech company, 70% of the group comprises PhDs, engineers, and developers. Moreover, they’re an amazing team that follows horizontal management and servant-leadership approaches, part of the culture we value and insist on.
To close SESAMm's first eight years on a high note, Forbes included me on their 30 under 30 list only a few weeks ago. In my eyes, that is a big recognition of the company and the work the team has done over the years.
Our future
More ESG. As we mentioned before, we want to transform the ESG industry. Currently, we cover a total of close to five million public and private firms. We aim to bring more transparency to the market and align with new regulatory frameworks in a fast-moving environment. By better analyzing companies, we believe we can help investors push for change. For example, to help monitor for positive impact and align with UN sustainable development goals (SDG), we’re launching a new product to systematically generate these types of alerts.
Of course, we want to bring these technologies to new clients, like:
Private equity firms
Quantitative asset managers
High-yield portfolio managers
Corporations to fuel their CSR strategy
From CSR teams looking to evaluate their clients and suppliers from an ESG perspective to central data and analytics teams wishing to generate custom NLP analytics at scale, SESAMm aims to become a central solution.
More importantly, we want to democratize NLP web data. This battle for good technology is our ultimate goal because every large company will need to address this topic at one point or another. So when it’s your turn, we want to be there to make it easier for you to achieve tangible results.
And last but not least, as a fintech company, we set our goals and ambitions on higher grounds whenever we complete a funding round. Our Series B with major private equity firm The Carlyle Group (CG) and New Alpha, a Paris-based fintech VC, was a significant step up. And the more we scale, the bigger we see the potential to apply our tools within existing or new fields, industries, use cases, and countries. This step-up naturally inspires us to plan for new ways to grow, whether with new services or reflecting on the potential of an upcoming funding round.
Our appreciation
Thank you. Without you, we wouldn’t be here. Special thanks to the SESAMm team. To our investors, The Carlyle Group, New Alpha, Havenrock, Caisse d’Epargne, AngelSquare, and more. To our partners and all who have supported us along this journey. And most of all, thank you, our clients. Because of you all, we have grown from a small-city-of-Metz team into an international company.
Cheers to you, us, and our future. Happy 8th anniversary, SESAMm!🥂
Oh, right! The trivia question! Here’s the answer. SESAMm is an acronym for:
Stock
Exchange
Statistical
Analysis
Mechanism
The “Mm” in SESAMm hints at the French pronunciation of sésame. But mostly, we used the small m from the word Mechanism instead of an e to guarantee that the URL would be available.
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