Discover insights from the AI Agent & Copilot Podcast, where we explore the latest developments in AI Copilots by Microsoft and its partners. In this episode, Corey Bakhtiary from Argano shares insights ahead of the AI Agent & Copilot Summit. He discusses how AI, especially in supply chain management, can streamline processes like order tracking using Dynamics 365. Bakhtiary emphasizes the role of agentic AI in automating business functions and highlights the importance of modular AI solutions. The session targets business leaders and tech experts, focusing on effective AI use cases and the challenges in implementation. Join us in reimagining business opportunities through AI and the Cloud at the summit in San Diego.
Welcome to the AI Agent & Copilot Podcast, your go-to source for the latest in AI developments, particularly those from Microsoft and its partners. In this enlightening episode, we chat with Corey Bakhtiary, senior director of strategy and innovation at Argano. He shares insights from his upcoming session at the AI Agent & Copilot Summit, specifically on conversational AI for order tracking via Dynamics 365 Finance & Supply Chain Management.
Key Highlights:
Who is Corey Bakhtiary?
Corey heads pre-sales and innovation at Argano, a company renowned for creating business solutions and templates tailored for different sectors. His team focuses on leveraging AI to enhance supply chain management.
The Role of AI in Supply Chain Management
AI, particularly agentic AI, is transforming supply chains. Argano is tackling challenges related to handling large datasets with a robust data model that trains AI effectively. Their new GenAI tool can convert natural language into SQL functions, making processes smoother for businesses.
AI Agent Technology in Business
Corey elaborates on the promise of agentic AI for automating workflows like demand planning. He envisions integrating multiple agents into a single, more efficient one. His emphasis on modular AI solutions helps businesses experiment before scaling.
Targeting the Right Audience
Bakhtiary’s session is designed for both business leaders and technical teams. They will examine the practical advantages and hurdles of incorporating AI into operations, along with best practices for managing data and AI contexts.
Looking Ahead
According to Corey, the deployment of AI agents is expected to soar by the year’s end, emphasizing the difference between agentic experiences and fully autonomous operations. His focus on conversational AI will provide attendees with essential insights for enhancing customer service.
Join us at the AI Agent & Copilot Summit, happening March 17-19 in San Diego, CA, where you’ll gain invaluable knowledge about the future possibilities within AI and its application in business efficiency. Don’t miss out—register now!
Primary keyword: AI Copilot
Secondary keywords: agentic AI, supply chain management, conversational AI
What is the focus of the AI Agent & Copilot Podcast episode with Corey Bakhtiary?
In this episode, Corey Bakhtiary talks about how artificial intelligence is changing supply chain management. He shares insights on tools and trends that help companies become more efficient.
How can AI improve supply chain management?
AI can make supply chains smarter by predicting demand, optimizing routes, and managing inventory better. This means businesses can save money and deliver products faster.
What are some challenges companies face when using AI in their supply chains?
Companies often struggle with data quality and integration. They need clean, accurate data to make AI work well. Also, getting everyone in the business on board with AI can be tough.
Is AI in supply chain management only for big companies?
No, businesses of all sizes can benefit from AI in their supply chains. There are many affordable tools available that can help small and medium-sized companies improve their operations.
What future trends in AI should businesses watch for in supply chain management?
Corey Bakhtiary suggests that companies should keep an eye on advancements in automation and machine learning. These technologies will continue to evolve, making supply chains even more efficient and responsive to changes.
