Abrigo's Chief Product Technology Officer reveals how they're leveling the playing field for 2,400 community banks using AWS-powered AI to compete with billion-dollar financial institutions.

Topics Include:

• Abrigo serves 2,400 community banks and credit unions across the US
• They provide risk management, fraud detection, and digital loan origination solutions
• Connect platform delivers data analytics for institutions with legacy systems
• Community banks need instant digital experiences to compete with fintech upstarts
• Customers expect Uber-like speed from application to cash within hours
• Three technology waves transformed finance: iPhone, cloud computing, then AI
• ChatGPT changed conversational experiences and knowledge search expectations in banking
• AI enables instant policy search for new employee onboarding needs
• Every minute saved from grunt work gets redeployed into customer relationships
• Simple borrower experiences work across all demographics from boomers to millennials
• Abrigo embraced agentic AI early using AWS Bedrock and Agent Core
• New guardrails and evaluations accelerate deterministic workflow reimagination with agents

Participants:

• Ravikumar Nemalikanti – Chief Product and Technology Officer, Abrigo

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Hear how Halo manages market disruption and technology innovation with their unique culture, helping them scale to be a leader in workflow automation software.

Topics Include:

• Halo serves 125,000 teams across 75 countries with enterprise ITSM solutions
• Paul Hamilton founded company 21 years ago as freelance IT consultant
• Built ticketing software to track their own freelance client work originally
• No marketing budget so mastered organic SEO without paid advertising spend
• Reached number one Google ranking globally for help desk software 2006
• Hired first employee in 2011 when co-founder wanted out
• AWS partnership began years ago recognizing trajectory not current snapshot size
• AWS team proactively delivered 20 percent infrastructure optimization cost savings recently
• Halo reducing prices using savings for customer value creation
• Hires graduates and trains them rather than poaching experienced enterprise talent
• Monday morning all-company meetings ensure transparency with minimal management hierarchy levels
• No traditional sales teams, culture emphasizes autonomy and employee ownership stakes
• Technology completely rebuilt 2017-2018 delivering deployments in one-third typical timeframes
• Total cost ownership 70 percent lower than competitors while winning tenders
• Vision transcends software through music festivals, documentaries pioneering fulfilling workplace culture

Participants:

• Paul Hamilton – CEO and Founder, Halo
• Alison Kay – Vice President / Managing Director, AWS UKI

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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

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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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Rubrik's GM of AI Dev Rishi, explains how 85% of enterprises are building agentic AI but lack frameworks to govern agents with production system access - and how Rubrik solves this gap!

Topics Include:

• Dev Rishi explains Rubrik's evolution from data backup to cyber resilience company.
• Rubrik shifted focus after 2018 when ransomware became the primary business continuity threat.
• Recent investments center on AI features and security for enterprise data infrastructure.
• Rubrik's foundation understands organizational data, metadata, and identity access across all systems.
• Predabase acquisition brought generative AI and LLM platform capabilities into Rubrik's infrastructure.
• Rubrik Agent Cloud launched to address enterprise AI security and governance needs.
• 180 enterprise conversations revealed AI risk frameworks block ROI, not technology challenges.
• Agents enable 10x productivity but create 10x damage potential in shorter timeframes.
• Most organizations struggle enforcing AI policies across AWS Bedrock, OpenAI, and third-party platforms.
• Agent Undo feature recovers from destructive AI actions using healthy backup snapshots.
• Three pillars for AI security: define policies, enforce across platforms, enable recovery.
• 2026 will see enterprises shift from pilot agents to managing dozens in production.

Participants:

• Dev Rishi – General Manager of AI, Rubrik

Connect with Rubrik and learn more here: https://www.rubrik.com/lp/events-hub

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