If you're betting on agentic AI, hear directly from the builders navigating the challenges, innovating pricing models, and creating the coming reality where every employee manages thousands of agents.

Topics Include:

  • Four panelists represent the full AI stack: build, run, secure, monitor.
  • Agentic AI moved faster than anyone predicted just 18 months ago.
  • Writer AI's no-code agent builder missed both its target personas entirely.
  • Non-technical users now just prompt agents instead of building workflows.
  • Fireworks AI processes over ten trillion tokens daily across open models.
  • DeepSeek's Christmas release tripled Fireworks' capacity needs almost overnight.
  • Okta identified agent identity as a security problem from day one.
  • 91% of organizations are already using AI agents in some capacity.
  • Datadog evolved naturally from dashboards to autonomous investigative agents.
  • Bits.ai agents now diagnose production incidents before engineers wake up.
  • Trust requires explainability — black-box agents stall enterprise adoption cold.
  • Human-in-the-loop remains essential; risk tolerance varies wildly by organization.
  • Writer AI compressed a four-month retail workflow down to one week.
  • Multi-provider inference consistency is one of the hardest unsolved infrastructure problems.
  • Agentic pricing models are fundamentally broken for enterprise budget planning today.
  • Agents managing agents means every employee becomes a manager of thousands.
  • POC data gaps are the most underrated blocker to production deployment.
  • Security must be designed in from the start — retrofitting is painful.
  • Build evaluations first so you know if you're actually improving anything.
  • Find your uniquely differentiated data and build your agentic bet there.


Participants:


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

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