Welcome to the AI Agent & Copilot Podcast, where we explore the latest advancements in AI Copilots and agents from Microsoft and its partners. In this episode, Corey Bakhtiary from Argano shares insights on his upcoming session at the AI Agent & Copilot Summit, focusing on conversational AI for order tracking using Microsoft Dynamics 365. He discusses the challenges in supply chain management and how AI can streamline processes through efficient data models. Targeting business leaders and tech experts, Bakhtiary emphasizes the importance of modular AI solutions and predicts a significant rise in agent deployments. Join us to discover how AI is transforming businesses and revolutionizing workflows. Don’t miss the AI Agent & Copilot Summit in March 2024 in San Diego.
Welcome to the AI Agent & Copilot Podcast, where we dive into the latest developments in AI Copilots and agents from Microsoft and its partners. We explore real-world customer use cases and how the combination of AI and Cloud technology is transforming businesses.
In the latest episode, Corey Bakhtiary, the senior director of strategy and innovation at Argano, shared insights about his upcoming presentation at the AI Agent & Copilot Summit. His session focuses on “Conversational AI for Order Tracking Using Dynamics 365 Finance & Supply Chain Management.” This is an exciting area where AI is reshaping how companies manage their order processes.
Key Highlights:
Speaker’s Background and AI Focus
Corey Bakhtiary leads pre-sales and innovation at Argano. His company provides a range of tools designed for business applications, helping clients tackle various challenges in their operations.
AI in Supply Chain Management
AI technologies, including machine learning, play a vital role in supply chain efficiency. Argano has developed a data model that helps train AI systems, converting natural language into actionable functions like SQL statements. This approach helps businesses manage complex data more effectively.
Agentic AI and Business Process Automation
Bakhtiary discussed the role of agentic AI in streamlining business processes, such as demand planning. He suggested that businesses benefit from testing multiple AI agents before consolidating them into a single solution, ensuring a smoother implementation.
Future of Agent Technology
Looking ahead, Bakhtiary believes that we will see a surge in the deployment of AI agents across industries. His presentation will explore conversational AI for customer inquiries, highlighting the distinction between basic and advanced AI functions.
The AI Agent & Copilot Summit is an unmissable event planned for March 17-19 in San Diego, California. It aims to define the potential of Microsoft Copilot and agent technologies for mid-sized and large enterprises. If you’re interested in harnessing AI for your business, consider registering now.
Stay tuned for more insights from the AI Agent & Copilot community as we continue to explore how these technologies are changing the landscape of business.
Tags: AI Agent, Microsoft Copilot, Supply Chain Management, Conversational AI, Argano, AI Podcas
What is AI in supply chain management?
AI in supply chain management involves using technology to improve how goods are made, stored, and delivered. It helps businesses predict demand, manage inventory, and make faster decisions.
How can AI help improve efficiency in supply chains?
AI can analyze vast amounts of data quickly to find patterns and trends. This means companies can reduce waste, plan better, and speed up processes, leading to cost savings and faster deliveries.
What are some real-world examples of AI in supply chains?
Some companies use AI for demand forecasting, inventory management, and route optimization for deliveries. For instance, retailers might use AI to predict what products will be popular next season.
Are there risks to using AI in supply chain management?
Yes, there are some risks, like data privacy and over-reliance on technology. Businesses need to ensure they have proper security measures and still involve human judgment in decision-making.
How can companies get started with AI in their supply chains?
Companies should start by identifying areas where AI can help, gathering relevant data, and testing small AI initiatives. Collaboration with technology partners can also aid in the transition to AI solutions.