Agentic Finance: the Innovators and Mathematical Insights Shaping Future of AI

Name: Agentic Finance: the Innovators and Mathematical Insights Shaping Future of AI
SKU: 19e868b2f9622b2b66d5d7ebccdc5d75
Price: 47.99 EUR
Availability: InStock

1/1

Afbeelding van Agentic Finance: the Innovators and Mathematical Insights Shaping Future of AI

Bol

Prijzen vanaf

47,99

Uitgelicht

	47,99	Naar shop
VERGELIJK ALLE AANBIEDERS (1)

Beschrijving

Bol Understand the mathematics, architecture, and governance behind autonomous AI agents in finance Agentic Finance: Mathematics, Architecture, and Governance for AI Agents in Finance examines the emerging field where autonomous AI systems operate independently across financial markets. As AI agents capable of independent reasoning, planning, and action reshape how institutions approach analysis, trading, and risk management, this book delivers the technical grounding—spanning mathematical foundations, system architectures, and governance frameworks—needed to evaluate, design, and implement these transformative agentic technologies within financial organizations. Agentic Finance covers the core mathematical concepts underlying autonomous systems—reinforcement learning, optimization, and probabilistic reasoning—alongside the technical architectures enabling AI agents to function with appropriate oversight and governance. It reveals how leading innovators deploy agentic AI across trading, risk assessment, portfolio optimization, and financial forecasting, while examining the evolving regulatory and ethical considerations surrounding autonomous decision-making within high-stakes financial contexts and regulated institutions. Written for quantitative analysts, financial technologists, AI researchers, portfolio managers, and business leaders, this book delivers the precise technical and governance knowledge required to understand how autonomous AI systems are reshaping financial services and to rigorously assess the potential of agentic technologies within your own organization and investment processes. Explore how autonomous AI agents are transforming financial markets and decision-making In Agentic Finance: Mathematics, Architecture, and Governance for AI Agents in Finance, Miquel Noguer Alonso and David Pacheco Aznar examine the emerging field where autonomous AI systems operate independently in financial contexts. The book explores how agentic technologies – AI systems capable of independent reasoning, planning, and action – are reshaping how financial institutions approach analysis, trading, and risk management. The book explores the mathematical foundations powering autonomous AI agents, from the algorithms enabling independent decision-making to the frameworks governing multi-agent financial systems. Readers gain insight into how innovators are applying these technologies across trading, portfolio management, and market analysis, along with the technical principles driving this transformation. Readers will also discover: The core mathematical concepts underlying autonomous AI systems, including reinforcement learning, optimization, and probabilistic reasoning frameworks How leading innovators are deploying agentic AI across trading, risk assessment, portfolio optimization, and financial forecasting applications Technical architectures enabling AI agents to operate autonomously while maintaining appropriate oversight and governance in financial environments Real-world applications demonstrating how autonomous systems analyze markets, execute strategies, and adapt to changing conditions The evolving regulatory and ethical landscape surrounding autonomous AI decision-making in high-stakes financial contexts Agentic Finance serves quantitative analysts, financial technologists, AI researchers, portfolio managers, and business leaders seeking to understand how autonomous AI systems are transforming financial services. It provides the technical foundation needed to evaluate and implement agentic technologies.

Lees meer

Vergelijk aanbieders (1)

Sorteren op:

€ 47,99 Gratis verzending

Beschrijving (1)

Understand the mathematics, architecture, and governance behind autonomous AI agents in finance Agentic Finance: Mathematics, Architecture, and Governance for AI Agents in Finance examines the emerging field where autonomous AI systems operate independently across financial markets. As AI agents capable of independent reasoning, planning, and action reshape how institutions approach analysis, trading, and risk management, this book delivers the technical grounding—spanning mathematical foundations, system architectures, and governance frameworks—needed to evaluate, design, and implement these transformative agentic technologies within financial organizations. Agentic Finance covers the core mathematical concepts underlying autonomous systems—reinforcement learning, optimization, and probabilistic reasoning—alongside the technical architectures enabling AI agents to function with appropriate oversight and governance. It reveals how leading innovators deploy agentic AI across trading, risk assessment, portfolio optimization, and financial forecasting, while examining the evolving regulatory and ethical considerations surrounding autonomous decision-making within high-stakes financial contexts and regulated institutions. Written for quantitative analysts, financial technologists, AI researchers, portfolio managers, and business leaders, this book delivers the precise technical and governance knowledge required to understand how autonomous AI systems are reshaping financial services and to rigorously assess the potential of agentic technologies within your own organization and investment processes. Explore how autonomous AI agents are transforming financial markets and decision-making In Agentic Finance: Mathematics, Architecture, and Governance for AI Agents in Finance, Miquel Noguer Alonso and David Pacheco Aznar examine the emerging field where autonomous AI systems operate independently in financial contexts. The book explores how agentic technologies – AI systems capable of independent reasoning, planning, and action – are reshaping how financial institutions approach analysis, trading, and risk management. The book explores the mathematical foundations powering autonomous AI agents, from the algorithms enabling independent decision-making to the frameworks governing multi-agent financial systems. Readers gain insight into how innovators are applying these technologies across trading, portfolio management, and market analysis, along with the technical principles driving this transformation. Readers will also discover: The core mathematical concepts underlying autonomous AI systems, including reinforcement learning, optimization, and probabilistic reasoning frameworks How leading innovators are deploying agentic AI across trading, risk assessment, portfolio optimization, and financial forecasting applications Technical architectures enabling AI agents to operate autonomously while maintaining appropriate oversight and governance in financial environments Real-world applications demonstrating how autonomous systems analyze markets, execute strategies, and adapt to changing conditions The evolving regulatory and ethical landscape surrounding autonomous AI decision-making in high-stakes financial contexts Agentic Finance serves quantitative analysts, financial technologists, AI researchers, portfolio managers, and business leaders seeking to understand how autonomous AI systems are transforming financial services. It provides the technical foundation needed to evaluate and implement agentic technologies.

Lees meer