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"Accelerating Enterprise Decision Intelligence with AI Agents"

Download the whitepaper to discover how AI agents are accelerating enterprise decision intelligence, unifying data, analytics, and execution to move from insight to autonomous action with greater speed, agility, and impact.

Based on new research from IDC, this paper examines how organizations are advancing their decision-making maturity by connecting data, analytics, execution, and learning within a unified, intelligent framework. The findings show how decision intelligence has evolved from AI-assisted insights to AI-agent-enabled action, driving measurable gains in speed, consistency, and business impact.

Drawing on input from more than 300 business and IT leaders across 11 countries and six industries, the study reveals how enterprises are adopting AI agents to automate decisions, enhance collaboration, and scale continuous intelligence — achieving greater agility, resilience, and performance across functions. Key themes explored in the whitepaper include:

• The rise of AI agents: How organizations are moving from insight generation to autonomous decision execution.
• Six competencies of decision intelligence: A framework for connecting data, analytics, simulation, collaboration, execution, and monitoring.
• Human and AI collaboration: How trust, transparency, and governance enable effective “human-in-the-loop” decision frameworks.
• Unified decision platforms: Why connecting data, analytics, and execution within a single environment is key to scaling decision intelligence.
• Actionable guidance: IDC’s roadmap for scaling AI-agent-driven decision intelligence across core business functions.

Read the whitepaper to learn how enterprises are using Aera to make faster, more confident, and more adaptive decisions — building organizations that continuously learn, evolve, and thrive in the AI-agent era.

The next phase of enterprise evolution is the rise of AI agents… which will extend AI’s reach beyond analysis to reasoning and orchestration — enabling systems that can plan, decide, and act within defined parameters. 

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