In this episode, Panos Karagiannis, CEO of Moveo.AI, joins us to explore how AI has been reshaping business automation.
Panos shares invaluable insights into what it takes to build production-ready AI agents, from scaling AI solutions across industries to navigating the complexities of enterprise adoption.
We also dive deep into the real-world applications of Gen AI, the buy vs. build debate for enterprises, and the challenges of differentiation in a world where many businesses use the same foundational AI models. Plus, we discuss why quality assurance is the unsung hero of AI implementation and how companies can future-proof their AI strategies.
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In this episode
00:00 – Episode intro
02:44 – Intro: Meet Panos Karagiannis
05:00 – The vision behind Moveo AI
09:41 – Leveraging Generative AI capabilities
12:30 – Gen AI for Process Automation
16:54 – Using LLMs at the logic layer
22:53 – Quality assurance – Boring but key topic
30:20 – Barriers to growth for Conversational AI
35:20 – Use case of LLM customisation
40:04 – Small Language Models – SLMs
46:07 – Buy vs Build: Should enterprises create their own AI models?
50:30 – The Future of AI orchestration & differentiation
55:45 – Final Advice for Businesses Looking to Scale AI
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