Ep200: Scaling and Monetizing AI-Powered Products with ServiceNow, TwelveLabs and AWS Podcast By  cover art

Ep200: Scaling and Monetizing AI-Powered Products with ServiceNow, TwelveLabs and AWS

Ep200: Scaling and Monetizing AI-Powered Products with ServiceNow, TwelveLabs and AWS

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Executives from ServiceNow, TwelveLabs, and AWS share unfiltered lessons on organizational change, data strategy, and best practices for scaling AI products worldwide.


Topics Include:

  • Three panelists explore scaling and monetizing agentic AI products.
  • ServiceNow built entirely new prompt engineering roles from scratch.
  • Evaluations-first culture replaced traditional QA — a major mindset shift.
  • TwelveLabs' "Tokens Never Sleep" initiative broke down team AI resistance.
  • Unlimited token usage revealed how underused AI actually is.
  • Rich: the competitive window for acting on AI is closing.
  • ServiceNow's DART program governs customer data for evaluation only.
  • Enterprise data governance is fundamentally different from consumer companies.
  • Disorganized internal data breaks agentic systems — structure comes first.
  • Your data, not your model, is your competitive advantage.
  • Krish's surprise: enterprise governance made model training nearly impossible.
  • Jae: powerful AI tools erode human opinions faster than expected.
  • Rich: boardroom-to-shop-floor AI adoption is unlike any previous wave.
  • Customers began favoring velocity after watching competitors win with it.
  • ServiceNow shipped agents at 20% resolution — then iterated upward.
  • Focus early agents on reversible, low-risk, two-way-door actions.
  • AWS tracks internal AI adoption in a structured weekly mechanism.
  • TwelveLabs' two models power sophisticated video RAG workflows at scale.
  • A Hollywood studio cut full episodes to four minutes using them.
  • Voice agent worked perfectly in demos — broke immediately in production.
  • Customers now measure how fast a product is getting smarter.
  • Future-proofing infrastructure is every product leader's top anxiety today.
  • MCP and A2A enable message-passing — but deeper problems remain.
  • Semantic mismatch, agent identity, and trace governance remain unsolved.
  • Tiered autonomy, trust, and data foundations define who ultimately wins.


Participants:

  • Krish Ganapathy | VP, AI Science, Architecture and Tools, ServiceNow
  • Jae Lee | CEO & Co-Founder, TwelveLabs
  • Rich Geraffo | Vice President & Managing Director, North America, AWS
  • Moderator: Connie de Lange | Marketing Director, North America, AWS


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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