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In Which Agentic Platform and Accelerator you are Interested? *
Akira AI - Agentic AI Platform Multi Agent System
Metasecure - Autonomous SOC
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Data Foundry
XAI – Vision and AI Platform – Visual AI Agents
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At what stage is your AI use case currently in? *
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What are the primary challenges in adopting AI? *
Data Quality Issues
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Preferred Approach for AI Transformation *
Assisted Intelligence Agents as Co-Pilot
Collaborative Intelligence Agents as AI Teammates
Autonomous Intelligence Agents – AI Agents
Agentic Actions
Agentic Process Automation
In Which Domain your Solution/Organization belongs to in-terms of Data Privacy, Trustworthy AI *
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Microsoft Azure AI Agents
Capabilities
Solutions
Use Cases
Azure AI Agent: A New Era of Agentic Automation
Unlocking new possibilities by deploying AI agents to revolutionize workflows and boost efficiency
Azure AI Agent Service: The Four Pillars of Intelligent Automation
Azure AI Agent Service is a fully managed platform that simplifies the development and deployment of AI agents, supporting various models like Azure OpenAI, Llama 3, Mistral, and Cohere.It ensures enterprise-grade security through secure data handling, keyless authentication, and no public egress, while offering flexible storage solutions for developers.
These features collectively set Azure AI Agent Service apart as a comprehensive and flexible solution for developing intelligent, action-oriented applications.
Ensure agents seamlessly integrate with essential tools, systems, and APIs to perform both deterministic and non-deterministic actions
Enable agents to manage conversation states and connect with internal and external knowledge sources, providing the necessary context to complete processes effectively
Utilize agents built with models tailored to specific tasks, facilitating better integration of information from various data types, yielding improved results for task-specific scenarios, and enhancing cost efficiencies in scaled deployments
Design agents to support an organization's unique data privacy and compliance requirements, scale according to organizational needs, and perform tasks reliably with high quality
Use cases of Azure AI Agent Service in Businesses
Customer Support
Handle customer inquiries around the clock, providing immediate responses to frequently asked questions and troubleshooting issues using the organization's knowledge base
Software Development
Assist developers by generating code, debugging, optimizing, and automating testing and documentation processes, leading to faster project turnaround with fewer errors
Project Management
Help with project planning, resource allocation, and timeline management, improving collaboration among team members and project outcomes
Agent Development and Automation
Agent Actions
Agent Actions with Azure Connectors
Use 1400+ Logic Apps connectors to enable agents to perform tasks and interact with external systems
Automate workflows across applications and services, integrating data, triggers, and actions to streamline processes without writing code, ensuring efficiency and scalability
Next Move to Capitalize On
By integrating Azure's AI capabilities to enhance customer interactions and streamline operations. By leveraging Azure's AI Agent Services, businesses can automate responses, provide personalized experiences, and improve efficiency.
AI Agents - From Automation to Autonomous Operations
Discover how AI agents are revolutionizing industries by transitioning from simple automation to fully autonomous operations, enhancing efficiency and innovation
Build Custom AI Agents for Autonomous Operations: Develop tailored AI agents that independently execute tasks, enhancing operational efficiency and reducing human intervention