Ep217: Owning the Model: Conversational AI at Enterprise Scale with Omilia

Omilia’s CTO shares their strategy on building AI that facilitates billions of calls and what it takes to win the next decade.

Topics Include:

• Miguel Alava welcomes Marios Fakiolas, CTO of Omilia
• Omilia has built production AI for over 20 years
• Banking and telco clients demand speed and accuracy
• Omilia builds its own agent framework and self-learning agents
• Infrastructure and data matter more than any single model
• Models are ships; Omilia's infrastructure is the permanent dock
• AI is core infrastructure at Omilia, not an external API
• Builders differ from orchestrators by owning bespoke models
• Platform is a kitchen; models are ingredients for recipes
• Omilia believes AI should be accessible, not just for elites
• AI vendors split into camps by economics and scalability
• Gen AI and ROI don't yet align well industry-wide
• Small unaddressed pain points can quietly sink AI projects
• Omilia revisits its offering using deep customer knowledge
• Cost-efficient economics at billions of calls is Omilia's moat
• Making AI work differs from making AI profitable
• Bedrock enables fast prototyping and early customer feedback
• Omilia moves to SageMaker AI to fully own its models
• Marios praises the AWS team supporting Omilia daily
• Speed round covers AI advocates, cloud, and adaptability ahead

Participants:

• Marios Fakiolas – Chief Technical Officer, Omilia
• Miguel Alava – EMEA ISV General Manager, Amazon Web Services  

See how Amazon Web Services gives you the freedom to migrate, innovate, and scale your software company at https://aws.amazon.com/isv/