First Act: The Alliance of “AI” Magicians

By Armen Sargsyan AI has the potential to revolutionize the way we work. Yet, the market is cluttered with a confusing array of AI acronyms and “smoke and mirrors” toolkits, making it hard for investors, prospects, and customers to separate fact from fiction. In 2023, choosing an AI vendor often felt more like falling for … Continued

Beyond Hallucination, the Art of Disobedience

By Loris D’Acunto Recently, I was experimenting with the APIs of GPT-4 and Claude 3.5, exploring how to convert user requests into SQL queries. As you know, when integrating these APIs, you need to fill two different sections: I wanted to test if a malicious user could somehow bypass the limitations I had put in … Continued

RIP – Four eye check…we won’t miss you 

By Ryan McQueen Implementing a new four-eye check sucks, and it feels icky like deciding to take your sibling to the high school prom. Yes, it is a path forward and better than staying at home, but at the end of the day you are disappointed in yourself for not taking a chance on a … Continued

Exciting News: DeepSee.ai Launches AI-Powered Application on Microsoft Azure Marketplace

We are thrilled to announce that our flagship app, DeepRecon, is now officially available in the Microsoft Azure Marketplace! At DeepSee.ai, our vision is clear: to deliver production AI to enterprise customers, ensuring they can harness the power of artificial intelligence while meeting stringent compliance and regulatory demands. This vision drives everything we build, and it’s reflected in our … Continued

The Art of Inquiry: Active Learning through the Lens of Physics

By Loris D’Acunto Perhaps one of the most profound tools for learning comes from the basic tenets of the “Socratic Method.”  Simply stated, the Socratic method is a form of argumentative dialogue between individuals based on asking and answering questions. The goal is to arrive at what could be deemed “truth” or, in today’s world, also … Continued

How LLMs Like GPTs Benefit from Ontologies

By John Suit Large Language Models, such as GPTs (Generative Pretrained Transformer), are revolutionizing the field by generating human-like text based on the patterns they learn from vast amounts of data. These models can write essays, summarize texts, answer questions, and even create poetry that feels surprisingly human. However, while LLMs are incredibly proficient at … Continued

Demystifying the Machine: AI Transparency and Explainability

By Aubrey Merchant-Dest Artificial intelligence (AI) is rapidly transforming industries, with finance being at the forefront. From fraud detection to algorithmic trading, AI is making waves. But with great power comes great responsibility, and in the realm of finance, trust and risk management is paramount. This is where AI transparency and explainability (XAI) come into … Continued

Maximize Impact, Minimize Effort with Active Learning

By Loris D’Acunto Revolutionizing Banking Communications In the highly regulated world of investment banking, the accuracy of machine learning models and how they are trained is a crucial aspect that cannot be underestimated. Large language models often have trouble when used in specific areas like finance, especially if they’re not trained on the detailed types … Continued

Ontologies and Knowledge Graphs: Unraveling Complex Data in Financial Services

By John Suit In the evolving landscape of financial services, the surge in data complexity demands innovative approaches to data management. Semantic technologies, particularly ontologies and knowledge graphs, have emerged as key players in navigating this intricate data maze. But what sets them apart, and how do they complement each other in enhancing data understanding … Continued

Sources and Methods: Risk Managing SaaS for Regulated Applications

By Aubrey Merchant-Dest Risk management is a critical aspect of any business, but it is especially important in regulated industries such as healthcare, finance, and legal. In this blog post, we will explore how sources and methods can be used as a framework for risk management in SaaS applications for regulated industries. Sources and Methods … Continued