Agentic AI
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- Overview
Agentic AI, also known as autonomous AI, is a type of artificial intelligence (AI) that can operate independently to make decisions, plan, and adapt to achieve goals. Agentic AI systems can perform these tasks with little or no human intervention.
Agentic AI refers to an advanced AI system that autonomously takes actions, adapts in real-time, and, solves multi-step problems based on context and objectives. Enterprises today navigate a complex landscape marked by escalating costs, fierce competition, and rapid technological evolution.
Here are some characteristics of agentic AI:Autonomy: Agentic AI systems can operate independently, making decisions and taking actions without constant human supervision.
- Proactivity: Agentic AI agents don't just react to commands, they anticipate needs and act proactively to achieve their goals.
- Adaptability: Agentic AI can adapt to new information and changing environments.
Agentic AI is revolutionizing business operations by introducing intelligent automation and enhancing decision-making capabilities.
For example,
In the world of logistics and supply chain management, every minute counts. Delays, outages and inefficiencies can ripple throughout the system, costing businesses time and money. Agent AI is becoming a powerful tool to address these challenges.
Software agents powered by Agentic-AI can analyze large amounts of data in real time, optimize routes, predict potential bottlenecks, and even adjust inventory levels based on demand fluctuations. This dynamic optimization helps ensure efficient delivery of goods and services, reducing costs and increasing customer satisfaction.
- Potential Applications of Agentic AI
Agentic AI has many potential applications, including:
- Streamlining insurance claims
- Optimizing logistics and supply chain management
- Empowering financial decision making
- Accelerating drug discovery and development
- Transforming customer service and support
- Generating and distributing content
- Orchestrating enterprise software
[More to come ...]
