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Building AI Agents for Finance. Design & Deploy Financial AI Agents with Robust Architectures, Advanced Reasoning, and Python Hanane Dupouy, Fayssal El Mofatiche

Język publikacji: angielski
Building AI Agents for Finance. Design & Deploy Financial AI Agents with Robust Architectures, Advanced Reasoning, and Python Hanane Dupouy, Fayssal El Mofatiche - okladka książki

Building AI Agents for Finance. Design & Deploy Financial AI Agents with Robust Architectures, Advanced Reasoning, and Python Hanane Dupouy, Fayssal El Mofatiche - okladka książki

Autorzy:
Hanane Dupouy, Fayssal El Mofatiche
Serie wydawnicze:
Hands-on
Wydawnictwo:
Packt Publishing (Z chęcią przeczytam książkę w języku polskim)
Ocena:
Bądź pierwszym, który oceni tę książkę
AI agents are rapidly changing how financial systems analyze information, make decisions, and automate complex workflows. While many resources explain agentic AI concepts at a high level, few show how to design and deploy AI agents that work reliably in real financial environments. This book fills that gap. You will start by learning what AI agents are, how they differ from non-agentic systems, and when agentic architectures are the right choice. Next, explore core design patterns, memory management strategies, AI agents frameworks , and reasoning paradigms such as ReAct, reflection, self-consistency, LATS , and multi-agent collaboration across various architectural styles. You will apply these concepts through practical Python labs and deep-dive finance use cases, including fundamental analysis, research, trading, insurance, and compliance. Next, you will learn how to evaluate agent behavior, implement guardrails, and add tracing and observability to ensure safe and reliable operation. Finally, focus on operationalization and Responsible AI, covering cost and latency trade-offs, scaling strategies, human-in-the-loop systems, and ethical considerations required in regulated financial settings. By the end, you’ll know how to design, evaluate, and deploy finance AI agents that deliver real business value.

Wybrane bestsellery

O autorach książki

Hanane Dupouy is Director and Algorithmic Trader at Bernstein, where she designs and implements equity trading strategies to execute client orders with precision and efficiency. She holds an engineering degree and a specialized masters in finance from leading French business schools, and began her career managing a team of data scientists and business intelligence professionals at a major French bank. Over the past six years, Hanane has transitioned fully into algorithmic trading, leveraging machine learning, generative AI, AI agents, and retrieval augmented generation RAG to build and optimize trading systems that adapt to rapidly changing market conditions. Outside of trading, Hanane shares her expertise through her blog,machinelearning basics, where she provides in depth tutorials on technical indicators, AI driven finance, and algorithmic trading best practices. She is also a frequent speaker at industry events, including the CFA UK Technology & Innovation Skills webinars, discussing the practical application of AI frameworks in financial contexts. A CFA charterholder, Hanane combines technical rigor with strategic vision to bridge the gap between cutting edge technology and practical business solutions.
Fayssal El Mofatiche is the Founder and CEO of Flowistic and Finteda, where he focuses on building intelligent, agent-driven systems for financial decision-making and automation. With a strong foundation in finance, technology, and entrepreneurship, he has worked extensively on designing scalable AI architectures that operate reliably in real-world financial contexts.. Fayssal combines hands-on engineering experience with a deep understanding of financial markets, risk, and product strategy. As a CAIA charterholder, he brings a disciplined investment and risk-aware mindset to AI system design. Through his work as a founder, practitioner, and educator, Fayssal helps bridge the gap between advanced AI research and practical, production-ready applications in finance.

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