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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:
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