Agentic Artificial Intelligence (AI) is ushering in a new era for enterprise workflows by enabling autonomous decision-making, continuous learning, and context-aware actions at scale. In this session, we explore how Cloudera’s Unified Hybrid Data Platform empowers organizations to harness Agentic AI for real-time, intelligent automation across domains like supply chain management and fraud prevention.

Attendees will trace the evolution of enterprise intelligence—from traditional business intelligence and predictive analytics to machine learning and finally, agent-based systems capable of making decisions independently. Key topics include the foundational components of Agentic AI on Cloudera—such as Cloudera Machine Learning (CML), Cloudera Data Flow (CDF), and DataFlow Functions—alongside best practices for implementation, governance, and ROI realization.

Through real-world use cases, participants will discover how businesses are deploying AI agents to monitor complex supply chains, detect fraud in real time, and streamline operations. The discussion will also address common challenges, including data silos, skill gaps, and budget constraints, offering practical solutions such as pre-built accelerators, training programs, and phased deployments.

This session concludes with forward-looking insights into the future of Agentic AI—from natural language interfaces and edge computing to autonomous business units. Participants will leave equipped with strategies to embrace Agentic AI, enabling scalable, secure, and future-proof enterprise automation.

Key Takeaways:

1. Discover how Agentic AI enables autonomous, goal-driven agents that adapt and learn in enterprise settings.
2. Understand Cloudera’s role as a foundational platform for building and deploying Agentic AI across hybrid environments.
3. Learn real-world use cases for intelligent supply chain optimization and autonomous fraud prevention, showcasing measurable business impact.
4. Gain best practices for implementation, including phased rollouts, robust data governance, and monitoring frameworks.
5. Prepare to embrace the future of enterprise AI with multi-agent collaboration, edge intelligence, and natural language interfaces driving the next wave of innovation.