Agentic AI
Agentic AI is emerging as a breakthrough force in redefining decision-making across industries. It demonstrates autonomous, goal-driven behavior acting with purpose, adapting in real-time, and executing complex tasks with minimal supervision.
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Autonomous Agents
Operate independently to achieve goals
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Goal Oriented Behavior
Focus on outcomes not just tasks
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Continuous Learning
Adapt and improve through each interaction
Digital Twins provide the base foundation of structured data and spatial intelligence that Agentic AI systems rely on to make informed decisions.
A Continuous Intelligence Loop
Perceive
Agentic AI continuously captures and ingests structured data from Digital Twins, IoT sensors, and connected business systems, providing the contextual foundation required for intelligent decision-making.
Reason
Guided by this structured data and powered by large language models (LLMs), the system follows intelligent workflows to interpret context, align with operational objectives, and generate strategic responses.
Act
Based on these insights, the AI initiates action through API calls and system integrations automating processes such as generating work orders, simulating system states, and deploying real-time alerts.
Learn
Each action and outcome feeds back into the system, enriching the Digital Twin with new data and enabling continuous improvement through self-optimizing operations.
Capabilities
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Data Labeling
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Prompt Engineering
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Data Collection
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Data Cleaning & Processing
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Model Training & Fine Tuning
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Data Analysis
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Machine learning
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Natural language processing
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LLM Training
Deploy a virtual assistant that can:
Answer technical questions related to all industries
Analyze operational data to uncover insights
Monitor and analyze real-time data from various systems
Visualize and interact with tags
Continuously learn from outcomes and feedback to self-optimize over time
