As the year closes, it's time to reflect on some of our favorite moments, so we've compiled a list of the top 10 blog posts highlighting the most popular and insightful content we've published. From alternative data trends to NLP and ESG topics, 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 10 posts of the year and see what made them stand out.
#10 Open SESAMm: Our 8th Anniversary
It's truly humbling that this blog post, celebrating our eighth anniversary, made the top 10 list. It reflects on the progress we've made and the milestones we achieved over the past eight years. We also discuss our plans for the future and our commitment to continuing to innovate and provide high-quality solutions for our clients.
#9 3 Remarkable Trends NLP Text Mining Exposes About Used Cars & U.S. Inflation
Back in May, we revealed inflation trends in the used car market and identified specific trends and patterns that can help predict changes in the market and inform investment decisions.
#8 Predicting stock price movements using news and social media data
Suppose you're interested in learning how AI technology can improve the efficiency and accuracy of financial analysis. In that case, you won't want to miss this blog post. In it, we discuss a case study involving Tokio Marine Nichido, one of the largest insurance companies in Japan. By partnering with SESAMm, they were able to implement our AI-powered solutions and achieve impressive results, including increased productivity and a more comprehensive understanding of their data. This post provides valuable insight into the potential of AI technology and its real-world applications in the financial industry.
#7 How AI Power Turns News and Social Media Content Into Financial Insights
Are you curious about how we use AI technology to gain valuable financial insights from news and social media? This blog post is a must-read. We discuss how SESAMm's AI-powered solutions can analyze a vast amount of data from these sources and extract valuable information that can inform investment decisions. From predicting market movements to identifying trends and patterns, our technology provides a unique and powerful way to stay ahead of the game in the financial industry.
#6 How Alternative Data Identifies Controversies Before Mainstream Sources With Examples
Learn more about the role of alternative data in the financial industry. In this blog post, we discuss how SESAMm's AI technology can analyze a wide range of data sources, such as news and social media, to identify controversies and potential risks in the market. By providing a more comprehensive view of a company or investment, our solutions can help investors make informed and strategic decisions. Overall, this post offers valuable insights into the potential of alternative data and its role in the financial industry.
#5 What Investors Ought to Know About Natural Language Processing: A Quick Guide
Read this quick guide to natural language processing, a subfield of AI technology that focuses on the interaction between computers and human language. We discuss the basics of NLP, including its history and applications, as well as the challenges and opportunities it presents. It also provides an overview of SESAMm's NLP technology and its role in the financial industry. This post offers a valuable introduction to NLP for those interested in learning more about this exciting field of AI technology.
#4 S&P 500 ESG Index Drops Tesla: This Analysis Supports the Decision
One of the year's biggest news events was the exclusion of Tesla from the S&P 500 ESG index, a huge hit for the electric car manufacturer and a sign of the growing importance of ESG criteria in the financial industry. This blog post discusses the event's significance and provides insight into the potential of ESG data and its role in informing investment decisions.
#3 What Investors Ought to Know About Knowledge Graphs: The Core of Text Analysis
This blog post discusses how knowledge graphs are at the core of text analysis and provide valuable insights for investors. We explain how these graphs, representing real-world entities and their relationships, can analyze large amounts of data and extract valuable information. We also discuss how SESAMm's AI technology can generate and use knowledge graphs to provide a more comprehensive view of a company or investment and support decision-making in the financial industry.
#2 How Organizations Are Using NLP To Detect Greenwashing
Learn how organizations use NLP technology to detect greenwashing, the practice of making false or misleading claims about a company's environmental practices. We explain how SESAMm's AI technology can analyze large amounts of data, including news and social media, to identify inconsistencies and potential risks in a company's ESG claims. This post also offers valuable insight into the potential of NLP technology to support responsible investment and combat greenwashing in the financial industry.
#1 Gain Insights From Financial and ESG Data Using AI: A Comprehensive Guide
At number one, your favorite post is about the potential of AI technology to provide valuable insights into ESG data. Here, we discuss how SESAMm's AI-powered solutions can analyze a wide range of alternative data sources, including news and social media, to provide a more comprehensive view of a company or investment's ESG performance. This post offers valuable insight into the role of AI in responsible investment and the potential of alternative data in informing ESG analysis.
Thank you for reading through this year's 10 most-popular blog posts. Which is your favorite, and how would you rate them?
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