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/