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

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From 3am war rooms to self-healing infrastructure, LogicMonitor's GM of AI shares a compelling vision for how observability and agentic AI are transforming IT organizations worldwide.

Topics Include:

• LogicMonitor is a 15-year-old AI-powered hybrid observability company.
• Their AI product, Edwin AI, targets IT alert fatigue and noise.
• Enterprise IT teams are drowning in signals from dozens of monitoring tools.
• Generative AI evolved from machine learning — agents are the next frontier.
• LogicMonitor's first Edwin use case: help teams know what to focus on.
• Key lesson learned: stop chasing perfection and start experimenting faster.
• AI adoption requires serious change management, not just technical deployment.
• Success metrics should be process efficiency, not vanity adoption numbers.
• LogicMonitor accelerated software releases from monthly to weekly to daily.
• AWS Bedrock powers Edwin AI; Agent Core reduces infrastructure complexity.
• Agentic AI will run long, complex workflows without human intervention.
• The future is self-healing infrastructure — systems that sense, fix, and notify.

Participants:

• Karthik Sj – General Manager of AI, LogicMonitor

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Cohesity CPO Vasu Murthy breaks down how enterprise data protection has evolved into a 24/7 cyber recovery operation — and why the battle against ransomware is now being fought with AI on both sides.

Topics Include:

• Cohesity protects, secures, and provides insights into enterprise data globally.
• 70% of Fortune 500 companies trust Cohesity with their critical data.
• Cyber attacks are now the dominant threat to enterprise data resilience.
• Cohesity recently merged with Veritas, dramatically expanding its customer base.
• Real-world rescue: a cyber-hit company ran payroll on time anyway.
• Recovery operations run 24/7, with dozens of active rescues at any time.
• The threat landscape is now AI versus AI — and escalating fast.
• Cohesity enables customers to practice cyber recovery drills through automation.
• AI is accelerating product cycles — planning that took months now takes weeks.
• More than a third of Cohesity's latest release was AI-assisted code.
• Flatter teams and less hierarchy are defining the new CPO playbook.
• AWS partnership innovations like Glacier Instant Retrieval delivered 30% cost savings.

Participants:

• Vasu Murthy – Chief Product Officer, Cohesity

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