Episode Summary

𝗟𝗲𝘁’𝘀 𝗯𝗲 𝗵𝗼𝗻𝗲𝘀𝘁, 𝗺𝗼𝘀𝘁 𝗼𝗳 𝘂𝘀 𝗮𝗿𝗲 𝘀𝘁𝗶𝗹𝗹 𝘄𝗿𝗮𝗽𝗽𝗶𝗻𝗴 𝗼𝘂𝗿 𝗵𝗲𝗮𝗱𝘀 𝗮𝗿𝗼𝘂𝗻𝗱 𝗴𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝘃𝗲 𝗔𝗜… 𝗮𝗻𝗱 𝗻𝗼𝘄 𝘁𝗵𝗲𝗿𝗲’𝘀 𝘁𝗵𝗶𝘀 𝗻𝗲𝘄 𝘄𝗮𝘃𝗲 𝗰𝗮𝗹𝗹𝗲𝗱 #𝗔𝗴𝗲𝗻𝘁𝗶𝗰𝗔𝗜.

Never heard of it? You’re not alone.

𝗕𝘂𝘁 𝗵𝗲𝗿𝗲’𝘀 𝘄𝗵𝘆 𝗶𝘁 𝗺𝗮𝘁𝘁𝗲𝗿𝘀: #𝗔𝗴𝗲𝗻𝘁𝗶𝗰𝗔𝗜 isn’t just about generating content, it’s about giving AI the ability to act, adapt, and pursue goals on its own.

I was thrilled to host Adit Sheth, Senior Engineer at Microsoft, on Deep Tech Talks for a conversation that dives deep into the future of Agentic AI, where machines go beyond outputs and start making decisions.

𝗜𝗻 𝘁𝗵𝗶𝘀 𝗲𝗽𝗶𝘀𝗼𝗱𝗲

We explored a powerful shift that’s already reshaping how AI is built, deployed, and trusted in real-world systems.

𝗛𝗲𝗿𝗲’𝘀 𝗮𝗿𝗲 𝘁𝗵𝗲 𝗸𝗲𝘆 𝗵𝗶𝗴𝗵𝗹𝗶𝗴𝗵𝘁𝘀:
✅ What truly makes an AI system agentic and how it differs from #generativeAI?
✅ The tech stack powering this shift: modular architecture, semantic memory, and plug-and-play adapters.
✅ Why is building agents the easy part, and designing trust, control, and alignment is the real challenge?
✅ How agentic AI introduces new layers of risk?
✅ Real-world use cases.

It’s time to rethink AI. Not as a tool, but as a co-worker helping you move faster, smarter, and with more context.

𝗔𝗿𝗲 𝘄𝗲 𝗿𝗲𝗮𝗱𝘆 𝗳𝗼𝗿 𝘁𝗵𝗮𝘁?