Executives from March Networks explain how Amazon Bedrock transformed petabytes of surveillance video into economically viable solutions that unlock untapped business value.

Topics Include:

• March Networks CEO and CPO discuss video surveillance for enterprise banks and retailers globally
• Company serves 10,000 customers with 250,000 installations worldwide since 2003 from Ottawa headquarters
• Banking customer operates across 25 countries centralizing video operations on one standardized platform
• Single enterprise customer manages 65 petabytes of distributed data across March Networks recorders
• AWS partnership enables five-to-ten-year cloud transition starting with economical DeepGlacier storage solutions
• Amazon Bedrock powers AI Smart Search analyzing snapshots for searchable business intelligence insights
• Enterprise video data remains largely untapped for retail traffic patterns and operational efficiency
• One retailer processes three million daily POS transactions across 6,000 locations synchronized with video
• 2025 brought AI Smart Search launch enabling natural language queries across entire operations
• Cloud storage became economically viable using Glacier after traditional quotes reached millions annually
• Fraudsters exploit 90-180 day retention windows by waiting six months to file lawsuits
• 2026 vision emphasizes consultative selling for efficiency gains supported by strong AWS partnership

Participants:

• Peter Strom – President & Chief Executive Officer, March Networks
• Jeff Corrall – Chief Product Officer, March Networks

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Anthropic's Tobias Harrison Noonan shares the enterprise AI playbook: why coding leads to broader AI adoption, practical tips for getting started, and why you shouldn't wait for perfection.

Topics Include:

• Tobias from Anthropic's Applied AI team discusses enterprise AI adoption trends and insights.
• Anthropic founded four years ago balancing AI safety mission with world's most intelligent models.
• Remarkable velocity: Claude 3.7 and Claude Code both shipped just in 2025 alone.
• Three-layer partnership: foundation models, enterprise capabilities, and end-user platforms like Claude Code.
• Anthropic leads in agentic coding for eighteen months, now number one enterprise AI market share.
• Claude Opus 4.5 launched last week, again tops software engineering benchmark for complex tasks.
• Claude Code enables thirty-hour autonomous coding sessions, ships features five times faster than before.
• Next frontier expands beyond coding into data-heavy knowledge work like financial and legal analysis.
• AI adoption maturity curve: employee workflows, internal processes, core products, then AI-native products.
• Thomson Reuters started with Claude Code for development team doing code modernization and refactoring.
• They expanded to Claude.ai for sales, marketing, and finance teams after seeing tangible ROI.
• Built Claude into core products including co-counsel legal platform and fraud prevention systems strategically.
• Today Thomson Reuters has eight different product lines powered by Claude across their portfolio.
• AWS partnership offers safe, secure, scalable deployment from POC to production in existing environments.
• Don't wait for perfection: AI today is dumbest it'll ever be, start prototyping now.

Participants:

• Tobias Harrison-Noonan: Member of Technical Staff, Anthropic

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Straight from re:Invent 2025, technology leaders from C3 AI, nCino, New Relic and Vercel reveal learnings, best practices and predictions for the future of Agentic AI.

Topics Include:

• Four technology executives introduce their companies' AI innovations in fintech, cloud, enterprise software, and observability.
• Vercel built agents for code reviews, infrastructure optimization, and across finance, sales, and support functions.
• C3.ai deploys enterprise AI applications from scratch to production in six months for Fortune 500s.
• New Relic provides observability for AI systems and built agents that resolve infrastructure issues in real-time.
• Vercel's agents improve code quality by incorporating security and framework best practices into AI-generated output.
• C3.ai partnered with Department of Defense to autonomously produce mission-critical intelligence assessment reports from data.
• Industry shifted from copilots everywhere to agents that actually own outcomes and land the plane.
• New Relic moved beyond natural language translation to agents that execute actions and resolve issues autonomously.
• Panel debates whether Model Context Protocol or broader ecosystem approaches better enable agent interoperability and communication.
• Autonomy requires accountability: agent decisions must be explainable with traceable steps and replay capabilities built-in.
• Governance and security should be prerequisites for acceleration, not impediments—a critical mental model shift needed.
• Many enterprises struggle with process bottlenecks preventing them from harnessing high-quality agents despite having technology.
• Financial services must carefully balance where human discretion remains essential versus where agent autonomy justified.
• Will Jung envisions deeply continuous context enabling banks to deliver truly personalized insights without appearing creepy.
• Suraj Krishnan predicts agents will own outcomes by 2026, coordinating tools and other agents to achieve goals.

Participants:

• Panelist: Merel Witteveen, SVP of Operations, C3.ai
• Panelist: Will Jung, Chief Technology Officer, nCino
• Panelist: Suraj Krishnan, GVP of Engineering, New Relic
• Panelist: Aparna Sinha, Senior Vice President, Product, Vercel
• Moderator: Olawale Oladehin, Managing Director, NAMER Technology Segments (Enterprise, ISV, DNB, and Model Providers), Amazon Web Services

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