Following the deprecation of existing models, the author transitioned to GPT-Oasis 20B, recognizing its advantages for local execution with efficient 4-bit quantization. This choice allowed seamless integration into anti-money laundering workflows. The…
A critical issue arises with high-throughput payment switches in regions like Africa and Southeast Asia, where advanced AI models misinterpret transaction flow due to anomalies. This leads to significant false positives, overwhelming compliance and sup…
The article critiques the reliance on rented multi-tenant cloud AI APIs by financial institutions for compliance-heavy operations. It emphasizes that such approaches are inherently risky, leading to potential egress violations, audit unpredictability, …
This essay draws parallels between Maxwell’s Demon and agentic AI in fintech, emphasizing that perceived efficiencies come with hidden costs. It highlights Rolf Landauer’s principle that every intelligent system incurs a thermodynamic cost, urging fint…
The CTO emphasizes the importance of effective data engineering in Retrieval-Augmented Generation (RAG) systems, identifying five failure points and solutions. He argues that model issues often stem from corrupt input data rather than the model itself….
The author reflects on 27 years in technology, witnessing significant advancements from the internet’s inception to the fintech boom and the evolution to microservices. Now at 50, they observe a similar trend with Artificial Intelligence. They emphasiz…
The article clarifies the distinct concepts within the AI landscape, including GenAI, LLMs, AI Agents, and Agentic AI, emphasizing their complementary roles. Misunderstandings can lead to poor technologies and strategic errors. It advocates for an info…
Agentic AI, AI Agents, and Generative AI are distinct entities driving innovation in automation and decision-making. Generative AI excels at content creation, AI Agents focus on task execution, and Agentic AI serves as a strategic layer that adapts and…
Agentic AI represents a transformative evolution in personal finance, surpassing traditional AI functions by actively managing financial decisions and optimizing user experiences. It learns, adapts, and operates seamlessly, offering proactive insights …
AI Agents and Agentic AI are distinct concepts that enhance traditional machine learning rather than replace it. AI Agents are task-focused assistants, while Agentic AI demonstrates autonomy in decision-making. Modern AI evolves from simple rule-follow…
