One of the big use cases of generative AI is having small applications to solve specific tasks. These are known as AI agents or AI assistants. Since they’re small and narrow in scope, you probably want to create and use lots of them, which means you need to be able to create them cheaply and easily. I’m curious as to how you go about doing this from an organizational point of view. Who needs to be involved? What’s the workflow and what technology do you need?

Dmitry Shapiro is the CEO of MindStudio. He was previously the CTO at MySpace and a product manager at Google. Dmitry is also a serial entrepreneur, having founded the web-app development platform Koji, acquired by Linktree, and Veoh Networks, an early YouTube competitor. He has extensive experience in building and managing engineering, product, and AI teams.

In the episode, Richie and Dmitry explore generative AI applications, AI in SaaS, approaches to AI implementation, selecting processes for automation, changes in sales and marketing roles, MindStudio, AI governance and privacy concerns, cost management, the limitations and future of AI assistants, and much more.

Links Mentioned in the Show:

• MindStudio
• Connect with Dmitry
• [Webinar] Dmitry at RADAR: From Learning to Earning: Navigating the AI Job Landscape
• Related Episode: Designing AI Applications with Robb Wilson, Co-Founder & CEO at Onereach.ai
• Rewatch sessions from RADAR: AI Edition

New to DataCamp?

• Learn on the go using the DataCamp mobile app

Empower your business with world-class data and AI skills with DataCamp for business