The aerospace and defense industry is essential to global technology and transportation, playing a crucial role in maintaining international security and connectivity. However, this sector faces intense scrutiny due to its significant impact on ESG factors. Amidst challenges like safety lapses and whistleblower revelations, stakeholders are increasingly relying on advanced AI technologies to gain insights into potential controversies. Such technologies have enabled a deeper understanding of the complex ESG issues that permeate the industry, revealing not only the specific challenges faced by companies like Boeing but also providing a broader view of the sector's commitment to corporate responsibility and sustainability.

This article explores the aerospace industry and its ESG challenges, backed up by a case study of industry giant Boeing. It also explains how we used SESAMm’s AI-powered tools to detect these controversies beforehand.

Aerospace and Defense Market Mentions

The top market players in the aerospace and defense industry command 8.3% of the overall market's online mentions. This sector is increasingly scrutinized for its ESG practices amidst technological advancements and global policy shifts.

Media Sentiment in the Aerospace Industry

In this study, we ran our AI tools through our data lake to extract the major market players: Northrop Grumman, Lockheed Martin, General Dynamics, Airbus, and Boeing, with the time frame starting from 2015 to date. The data reveals a notable peak in online mentions of the market trend, mainly following Boeing’s plane crash controversies. Post-2018, we noticed a general upward trend for Airbus and Boeing, indicating their increasing dominance or recovery in the market. This trend demonstrates the shifting landscape of the aerospace industry, where competition is intense, and the share of mentions can reflect broader market movements and company-specific developments.

(*): Polarity or sentiment polarity represents a company's aggregate of positive and negative sentiment (opinions, reviews), ranging from -1 to 1. A zero score means that there is as much positive as negative sentiment. High e-reputation brands can have polarity scores of more than 0.5.

The sentiment across the aerospace market reflects the industry’s highs and lows. On one hand, there are moments of significant achievements like new contracts and technological breakthroughs that drive companies like Lockheed Martin to positive media highlights. Between 2016 and 2018, Lockheed Martin experienced a surge in positive mentions due to key contract wins and proactive company initiatives, which have contributed to maintaining its reputation and market value.

Conversely, the industry faces intense scrutiny over various controversies, notably those surrounding Boeing. The company, a dominant figure in the market, has been at the center of numerous negative headlines, giving it the lowest sentiment polarity among its peers. Issues range from serious safety lapses, such as the tragic 737 MAX crashes throughout the years, to ongoing legal challenges and whistleblower claims that overshadow its governance practices. These incidents have not only affected Boeing’s sentiment negatively but have also influenced the overall perception of the aerospace and defense sector, highlighting the industry's susceptibility to reputational risks.

Macro Themes

The aerospace sector, while essential for global connectivity, has not been without its controversies, especially concerning safety and compliance issues. Among the major players, Boeing's significant share of media mentions is primarily driven by a series of high-profile accidents, including the 737 MAX crashes in 2019, killing all passengers and another serious incident in South China in 2022. These accidents triggered a cascade of lawsuits and fines, severely impacting Boeing’s public perception and operational standing. The aftermath of these incidents also precipitated broader discussions around leadership changes, management practices, safety protocols, and accountability measures within the company.

Similarly, Airbus has faced its own challenges, with notable accidents in 2015 in France and 2016 in the Mediterranean Sea, followed by another in 2020, resulting in 97 fatalities. These incidents underline the persistent safety risks inherent in aerospace operations and the critical need for stringent oversight.
Accusations of ethical and legal violations also loom large across the industry. Boeing, for example, has been embroiled in numerous investigations and lawsuits related to various accusations. Meanwhile, other industry giants like Northrop Grumman and Lockheed Martin have faced legal actions over environmental and contracting practices, such as Northrop’s involvement in residential chemical contamination and Lockheed’s settlement over accusations of overcharging the Navy. General Dynamics has also encountered legal scrutiny over employment practices and allegations of human rights and privacy violations.

These controversies highlight a complex landscape of operational, legal, and ethical challenges in the aerospace industry. Each incident not only affects the involved company but also catalyzes shifts in regulatory practices and leadership strategies, underscoring the need for robust governance and proactive risk management to uphold safety and integrity in aerospace operations.

ESG Analysis

The influence of ESG factors on public perception and internal company policies within the aerospace industry is profound. Governance issues, in particular, continue to be a critical focus as aerospace companies confront challenges related to compliance, ethical practices, and transparency. Social factors are also prominent, with labor practices and safety standards critically influencing operational and strategic decision-making. Environmental considerations are escalating in importance as the industry progresses towards more sustainable practices, driven by increasing concerns over climate change and environmental sustainability.

Northrop Grumman illustrates an aspect of ESG concerns with specific environmental risks linked to its operations. Accusations have surfaced against Northrop Grumman for its role in environmental degradation, such as pollution from manufacturing plants and involvement in contamination incidents at residential sites. These issues not only affect the company’s environmental track record but also impact its social standing and governance integrity. The company also displays some governance risks related to its total mentions volume driven by accusations of fueling false ‘Revenge Porn’ allegations against CIA whistleblower John Kiriakou as well as legal investigations driven by Northrop Grumman investors over its claims to recover their losses and class action lawsuits over claims of a breach of fiduciary duty.

The aerospace sector’s engagement with these ESG factors indicates a shift towards addressing the critical issues facing the industry. Boeing ranks first in terms of risks, with social risks having the highest share, followed by Airbus, with risks coming from social issues such as customer relations, fundamental human rights, and governance risks mainly related to its fraud, bribery, and corruption charges. This shift is not just about mitigating risks but also about harnessing opportunities to enhance corporate responsibility and ensure long-term sustainability.

Deep Dive into Boeing: ESG Risks and Public Perception

The aerospace industry has faced increasing scrutiny over its ESG practices. Among the key players, the American aerospace company Boeing has been prominently featured in media discussions, not only due to its market distinction but also because of its ESG challenges that have sparked significant controversy.

Boeing Word Cloud

This word cloud visually represents the main online topics surrounding Boeing, particularly focusing on the issues and controversies related to the 737 Max aircraft. Key terms like "737 Max," "Boeing," "safety," "death," and "FAA" are prominently displayed, indicating these as central themes in the discussion. The size of each word in the cloud signifies its frequency and importance in related discussions, with larger words being more prevalent. This visualization encapsulates a range of associated topics such as "lawsuit," "Senate hearing," and "missed inspections," highlighting the broad spectrum of regulatory, safety, and ethical issues that have dominated public and media discourse regarding Boeing.

Boeing ESG Analysis

According to TextReveal’s findings, since 2019, Boeing's ESG risks have intensified, particularly in social and governance, leading to a substantial impact on its public image and stock performance. The company's struggles with governance issues are well-documented, encompassing major safety lapses that resulted in the tragic crashes of the 737 MAX aircraft in the span of six months in Indonesia and Ethiopia. These events have not only led to a loss of life but also raised serious questions about the company's commitment to safety protocols and ethical standards.

Social risks at Boeing are also prominent, with multiple incidents involving customer relations and human capital management. Notably, the company has faced significant scrutiny regarding its response to the 737 MAX crashes, highlighting deficiencies in transparency and accountability in dealing with the fallout. The handling of these incidents resulted in widespread public distrust, significantly damaging Boeing's relationships with airlines, regulatory bodies, and the flying public. Issues such as delays in disclosing software malfunctions and the initial reluctance to ground the fleet have led to accusations of prioritizing profit over passenger safety. Furthermore, Boeing's labor practices have also come under fire. There have been multiple instances of tension with labor unions over contract negotiations, job cuts, and factory conditions, which exacerbate the social risks by affecting employee morale and productivity. These labor disputes and the perceived erosion of safety standards contribute to a challenging environment, complicating Boeing's efforts to rebuild trust and ensure operational stability.

Early Signs: Whistleblowers

We used TextReveal's analytics capabilities to track the prevalence of whistleblower mentions within the aerospace industry, with data pointing back as far as 2019. This tool has effectively highlighted ongoing concerns and patterns related to corporate governance and safety issues.

Boeing has also been facing whistleblower retaliation. High-profile cases involving whistleblowers like John Barnett, who was found dead under mysterious circumstances, and Sam Salehpour, who reported safety shortcuts and received physical threats, illustrate the perilous environment for those who challenge the status quo. These whistleblowers' stories, while distressing, shed light on a culture that may prioritize expediency over thoroughness and safety.

One of the most significant cases involved John Barnett, a former quality manager at Boeing, who raised alarms about critical safety lapses in the production of the 787 Dreamliner. Barnett claimed that faulty parts were knowingly installed on planes, potentially endangering passengers. His revelations were met with hostility and retaliation, resulting in his tragic and suspicious death, which was officially ruled as a suicide. This case has fueled widespread media coverage and public outcry, questioning the integrity of Boeing’s internal safety practices and the treatment of employees who report such critical issues.

Another well-known whistleblower, Ed Pierson, reported concerns about the 737 MAX's manufacturing process, specifically pointing to the rushed production schedules that he believed compromised safety. His testimony before congressional hearings helped to expose a "profit over safety" mentality that appeared to saturate Boeing’s management practices. Pierson’s allegations were particularly damaging as they were directly linked to the two fatal crashes of the 737 MAX, which tragically resulted in 346 deaths.

Sam Salehpour, a Boeing engineer, also came forward with allegations of manufacturing shortcuts that compromised the structural integrity and safety of Boeing aircraft. Like others, Salehpour faced significant backlash from superiors and was reportedly blackballed within the industry for his outspokenness, highlighting the severe personal and professional risks faced by whistleblowers within the air travel giant.

The cumulative effect of these whistleblower cases has led to significant scrutiny from regulatory bodies, the media, and the public. The Federal Aviation Administration (FAA) has stepped up its oversight of Boeing, leading to fines, increased regulations, and a temporary grounding of the 737 MAX fleet. These incidents have sparked broader discussions about the need for systemic reforms within the aerospace industry to ensure that safety and ethical standards are not only upheld but prioritized over financial incentives.

How does SESAMm Detect ESG

Navigating the vast amounts of data available is a significant challenge when conducting this type of analysis. At SESAMm, our experts begin with a comprehensive sentiment analysis of the industry and its key players. By examining trends, particularly spikes in data volume or shifts in sentiment—both positive and negative—they can pinpoint the issues and controversies driving these changes. Following this, our team conducts a thematic deep dive into the topics most relevant to the industry, providing a nuanced understanding of the issues that are particularly sensitive for stakeholders. With these insights in hand, our team then moves to company-specific analyses and benchmarking to assess how individual companies perform relative to their peers.

SESAMm's TextReveal® platform plays a significant role in identifying and understanding the complex web of controversies within industries such as aerospace. Through its algorithms, the platform sifts through vast amounts of data from diverse sources like news outlets, social media, and corporate disclosures to detect subtle cues and patterns that might indicate emerging ESG controversies. This robust data collection and analysis enable SESAMm to pinpoint issues related to whistleblower activities, safety violations, and governance lapses well before they gain widespread attention. By integrating this intelligence, SESAMm facilitates a deeper understanding of the underlying factors contributing to these controversies, aiding stakeholders in navigating the intricate dynamics of corporate accountability and regulatory compliance.

SESAMm's TextReveal® platform provides a comprehensive suite of ESG analytics tools that leverage extensive data collection from news outlets, social media, corporate disclosures, and NGO reports, ensuring thorough coverage of emerging and underreported ESG issues. Utilizing advanced artificial intelligence, the platform analyzes sentiments and contextual nuances within this data to identify positive and negative ESG indicators, helps stakeholders measure public sentiment before issues escalate, and makes accurate business decisions. Additionally, its capability to identify and map relationships between entities such as companies, individuals, and products to various ESG issues is crucial for assessing how internal dynamics influence a company’s overall ESG profile.

TextReveal® also employs predictive analytics to foresee potentil ESG controversies, enabling proactive risk management and strategic planning. Moreover, it offers detailed ESG reporting and scoring, providing quantifiable insights into a company’s ESG performance, which is invaluable for investors and analysts. Lastly, the platform’s analysis of the influence of key individuals on ESG practices offers deeper insights into leadership effectiveness and ethical compliance, making SESAMm's tools essential for integrating ESG considerations into comprehensive corporate strategy and maintaining competitive advantage in a socially conscious market environment.

Conclusion

Navigating the complexities of ESG risk management requires a shift from traditional methods to more advanced, AI-driven approaches. AI's ability to analyze vast amounts of unstructured data enables early detection of hidden risks, as demonstrated in our case study on Boeing. Using AI, we identified emerging controversies around Boeing's safety practices, quality control, and governance issues before they escalated, showcasing the technology's potential for proactive risk management.

Incorporating AI into ESG assessments allows private equity firms and other stakeholders to move beyond reactive strategies. By detecting potential risks early, firms can safeguard their investments, protect their reputations, and align with a growing emphasis on responsible investing. Embracing AI-driven tools is not just about keeping pace with market demands—it's about ensuring a more secure, transparent, and sustainable approach to investment in an ESG-focused world.

Reach out to SESAMm

TextReveal’s web data analysis of over five million public and private companies is essential for keeping tabs on ESG investment risks. To learn more about how you can analyze web data or to request a demo, reach out to one of our representatives.

Hello, and welcome to our ongoing series on Generative AI in Finance. I’m Sylvain Forté, CEO and co-founder of SESAMm, and in our first article of the series, we’ll explore how generative AI is reshaping the financial industry. At SESAMm, we’ve been fortunate to be at the forefront of this revolution, witnessing the transformational power of large language models like ChatGPT and its iterations.

Unprecedented Evolution in Generative AI

Let's begin with an overview of the current generative AI landscape. Over the last few years, we've seen an explosion in the capabilities of generative AI, particularly in text processing. From BERT to GPT4, large language models (LLMs) have demonstrated increasingly impressive capabilities. These models, performing at a human level for many tasks, are rapidly evolving, making the past six months feel like an exponential leap in the AI domain.
Generative AI is no longer a speculative idea but rather an early adoption phase of a powerful technology. At SESAMm, we've leveraged our partnerships with OpenAI and other organizations to gain high-level access to these AI models, allowing us to harness this potential and democratize access to intelligence. It’s an exciting shift that, while reshuffling business models and job roles, promises enormous productivity gains and increased overall value. The key, of course, is ensuring that these benefits extend to society as a whole.

The Disruption in Financial Sector

The finance sector, with its vast array of text-based tasks, stands to gain enormously from generative AI. Any repetitive yet intelligence-heavy tasks — think verification, document generation, or client communication — are ripe for automation.
Finance, despite being a highly intelligent sector, often sees that intelligence is misspent on routine tasks. Generative AI can realign this balance, reducing costs, enhancing service quality, and building trust. Whether private equity, asset management, or commercial banking, AI can streamline processes, delivering an efficiency boost that significantly enhances customer satisfaction.
In private equity, the automation possibilities could reshape the sector, bringing it closer to the public markets. In asset management and banking, cost reduction and service enhancement could lead to a dramatic rise in customer satisfaction.

Concrete Use Cases of Generative AI in Finance

So, how does this look in practice? Generative AI can automate numerous finance tasks, including creating reports, verifying information, summarizing news or earnings calls, and even making internal data searchable. Imagine a system that can help asset managers match various types of datasets based on a user query in natural language, thereby making data access and interpretation simpler. This could vastly improve the user experience with business software, reducing effort and time spent. While some applications, like a fully automated financial advisor or AI-led trading and hedging, might present more significant challenges, their potential benefits could revolutionize these sectors.

Overcoming Roadblocks

Of course, every transformation comes with challenges. The key is discerning which use cases are suited for full automation and which require human oversight. Data privacy concerns will also influence decisions about whether to use proprietary or open-source models.
There will inevitably be resistance to change within organizations, but the 'Google test' can help navigate data privacy issues: if an employee would conduct that search or share that data on Google, it's likely safe to share with a proprietary Generative AI solution.

Generative AI and Risk Mitigation

Risk mitigation strategies can greatly benefit from generative AI. From detecting and preventing fraud to managing market risks, generative AI can verify identities, cross-reference databases, and analyze vast amounts of data. For instance, at SESAMm, we're developing an ESG controversy detection solution that can be an invaluable tool for risk mitigation.

Improving Investment Decision-Making

Generative AI’s ability to process and analyze massive amounts of data accurately and quickly makes it a formidable tool for investment decision-making. By identifying patterns, trends, and correlations that humans might miss, generative AI can provide a more comprehensive, data-driven perspective, aiding portfolio optimization, asset allocation, and investment risk management.

Streamlining Operations for Efficiency

Generative AI's efficiency and accuracy promise to transform financial institutions. By automating time-consuming tasks like report generation and client communication, AI can free employees to focus on strategic tasks that require critical thinking.
Imagine being able to ask complex questions to your banking app in natural language and getting immediate, accurate responses. Such high-quality service was unthinkable a few years ago, but with generative AI, it's within our reach.
The future of the financial sector is undeniably tied to the successful implementation of generative AI solutions. The potential is vast, the challenges are surmountable, and the rewards are great. In my view, generative AI is the key to a more efficient, cost-effective, and customer-centric financial sector.

To learn more about SESAMm’s innovative solutions and how we’re pushing the boundaries with generative AI, read the second part of this series here.

Reach out to SESAMm

TextReveal's web data analysis of over five million public and private companies is essential for keeping tabs on ESG investment risks. To learn more about how you can analyze web data or request a demo, contact one of our representatives.

Happy new year! 2018 already holds many exciting news with various projects and clients already onboard. We begin the year with 2 recently signed contracts with top-ranked hedge funds, additional features and cryptocurrencies added to L’Humeur des Marchés and published plentiful of internships and job opportunities. Moreover, following our partnership with Eagle Alpha and the event in New York last month, we will be organizing a roadshow in London to meet high-ranked hedge funds on February 7th and 8th.

Collaboration with new major clients

Recently, we have signed 2 major contracts with top-ranked hedge funds.

The first contract is with Nikko Global Wrap (one of the subsidiaries of Sumitomo Mitsui Asset Management, a major asset manager in Japan) managing JPY 1.7 trillion.

Second contract has been signed with La Française Investment Solutions, a subsidiary of La Française Group, a top 10 French asset manager with more than €64bn assets under management.

This great news proves our technology is trusted by major financial institutions and gives us more confidence to continue looking for collaboration opportunities worldwide.

Future contracts and new distributor

We are currently in negotiation talks with another major French asset manager, a bank, two insurers and a US hedge fund. We hope to keep up at the same pace for the whole year and sign new contracts in the weeks ahead.

Also, we have recently started a new partnership with Neudata, a major UK alternative data distributor. We have signed an agreement, so they could support us and promote our solutions & services.

After New York, London

Last month, SESAMm made its very 1st trip to the USA for the BIG Alternative Data Showcase week organized by our partner Eagle Alpha. It proved to be a valuable experience from which multiple business opportunities arose and we launched many product trials with significant US funds.

Next month, we are planning a roadshow in London with Eagle Alpha. We already arranged multiple meetings with hedge funds and, thanks to Eagle Alpha’s support, we are given a unique opportunity to present and show our solutions to asset managers and C-level decision makers.

New additions to L’Humeur des Marchés

Concerning our platform L’Humeur des Marchés, we are glad to announce that we will soon be providing historical data concerning the assets. This update is planned to happen during next month and will give users more flexibility and options related to their investment and strategies.

In addition, an alert module is under development and we have begun to include cryptocurrencies into the platform. Most of the top-ranked cryptocurrencies are currently covered – such as Bitcoin, Ethereum or Ripple, among others as shown below.

Developments are planned to further extend our coverage of alt-coins with the objective to include every single major capitalization into L’Humeur des Marchés.

New job opportunities

Last but not least, we will be scaling our team during 2018. Multiple internships and job offers are currently available to further support SESAMm’s growth and ambition. We are looking for candidates in the fields of IT, finance and Data science but, most of all, highly motivated individuals seeking challenges! You can find all our offers by following this link. We would be very excited to receive your applications or recommendations for profiles seeking to work with us!

Thank you for your support and best wishes to you for 2018!