Neo4j's Ajay Singh discusses future shifts in AI and why knowledge graphs may be the missing layer in your Gen AI strategy.

Topics Include:

• Ajay Singh from Neo4j discusses graph intelligence platform serving 80+ Fortune 100 companies.
• Financial services firms use Neo4j knowledge graphs to detect fraud rings and accounts.
• IT companies build digital twins of infrastructure to analyze attack surfaces and vulnerabilities.
• Knowledge graphs provide richer context for Gen AI agents beyond what vector search offers.
• Gaming company achieved 10x faster insights and 92% reduction in analyst data gathering.
• Transportation company improved tariff code workflow from 50% abandonment to 95% completion rate.
• Neo4j has partnered with AWS since 2013, running on AWS infrastructure and Marketplace.
• Customers combine Neo4j with AWS Bedrock and SageMaker to build agentic AI applications.
• Neo4j evolved from late-stage AWS collaboration to early-stage joint customer solution development approach.
• Success requires business-first mindset over technology-first to avoid POCs that never reach production.
• Effective Gen AI needs semantic layers and knowledge graphs, not just throwing documents at LLMs.
• Future agents will tackle outcome-based objectives requiring explainability, security, and proper LLM operations.

Participants:

• Ajay Singh – Global Vice President, Neo4j

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

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

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