Agentic AI: Dissecting the Future of AI Workflows | Memra's Founder Amir Behbehani

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Engineering teams are already seeing efficiency gains by leveraging Gen AI solutions like Copilot, but the next wave of AI workflows has the potential to 10X productivity.

This week, we’re exploring the world of Agentic AI with Amir Behbehani, Chief AI Engineer and Founder of Memra. Agentic AI can be defined as AI agents or systems that have the capacity to make decisions or take actions on their own based on the objectives they are programmed to achieve. These AI systems act independently, gathering information, processing it, and then choosing or executing actions without direct human intervention.

Amir shares how Memra is leading the way in developing AI agents capable of handling complex tasks, decision-making, and improving productivity across industries. He also discusses the implications of AI in reshaping how businesses operate, and how organizations can prepare for a future where AI plays a central role in both day-to-day operations and high-level strategic decisions.

Whether you're an AI enthusiast, an engineering leader, or curious about the future of automation, this episode offers a deep dive into the possibilities and challenges of Agentic AI and what it means for the future of work.
Chapters:

01:23 Defining Agentic AI
07:02 Frameworks for thinking about Agentic AI
12:52 Unpacking AI as a black box
13:58 How Agentic AI will benefit software engineers
22:55 What would be a good starting point to leverage agents on an engineering team?
26:46 Will agents replace freelancers and the gig economy?
36:20 What is the synthetic marketplace?
40:11 How Agentic AI impacts writing code

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