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

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

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

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

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

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

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/

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

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

Four enterprise AI leaders from Box, Snorkel AI, Sumo Logic, and Talkdesk peel away the hype and share battle-tested strategies for implementing agentic AI at scale.

Topics Include:

• Carol Potts introduces panel featuring AI leaders from Box, Snorkel AI, Sumo Logic, and Talkdesk
• Diego Dugatkin explains Box serves 120,000 enterprise customers with 1.5 exabytes of secure cloud content
• Kui Jia shares Sumo Logic processes petabytes daily across 10 AWS regions for intelligent operations
• Yunjing Ma describes Talkdesk's evolution from contact center to customer experience automation through agentic AI
• Dennis Panos positions Snorkel AI as leader in embedding human knowledge into data-centric applications
• Diego reveals Box uses AI internally for faster development and externally for metadata extraction automation
• Kui explains security teams face overwhelming volumes, sometimes 1,000 signals daily, many AI-generated attacks
• Sumo Logic announces SOC analyst agent in customer beta and query agent in general availability
• Yunjing details Talkdesk's multi-agent hierarchy architecture powered by unified TalkDesk Data Cloud platform
• Four key areas identified: discovery of opportunities, building knowledge-powered agents, optimization, and measurement
• Dennis emphasizes starting with trusted data foundation before adding generative AI capabilities to avoid hallucinations
• Diego stresses governance importance: AI guardrails plus traditional data security create comprehensive protection framework
• Kui warns POC-to-production gap requires intentional design: different latency, accuracy, and security requirements at scale
• Yunjing shares customer success: 80,000 daily calls, 11,000 documents, 97% accuracy despite complex compliance rules
• Key success factors include prompt engineering optimization and real-time data processing mechanism improvements
• Diego advises learning AI tools end-to-end: from ideation through functional demos without traditional prototyping delays
• Dennis recommends robust evaluation frameworks across system components, similar to software unit testing approaches
• Yunjing reinforces data processing optimization and governance remain essential alongside exciting agentic AI capabilities
• Kui urges immediate action: technology evolves rapidly, perfect solutions don't exist, customer focus builds trust
• Final advice centers on treating AI as digital teammate, not replacement, enhancing productivity and creativity
• Platform partnerships like AWS Bedrock solve heavy lifting, allowing teams to focus on core differentiators

Participants:

• Diego Dugatkin - Chief Product Officer, Box
• Dennis Panos - Head of Enterprise AI, SnorkelAI
• Kui Jia - VP AI Engineering, Sumo Logic
• Yunjing Ma - VP of Engineering, AI, Talkdesk
• Moderator: Carol Potts - General Manager, ISV Sales Segment, North America, Amazon Web Services

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

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

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

Matt Yanchyshyn, AWS Marketplace and Partner Services VP, reveals how AI agents are transforming enterprises worldwide while Atlassian and Netskope leaders share strategies for scaling up Agentic AI marketplace deals.

Topics Include:

• Matt Yanchyshyn of AWS opens with massive shift to multi-agent production systems
• Enterprise software seeing huge AI adoption: 33% will include AI by year end
• Automated agents now handle Matt's daily workflow, prioritizing emails and messages autonomously
• Real business transformation across financial reporting, demand forecasting, and automated incident management
• AWS Marketplace team productivity up 31%, deploying software 27% faster with agents
• New agent mode for Marketplace uses autonomous data collection improving customer experiences
• Success requires proper data governance with fine-grained access controls for safe operations
• Q Developer and Qiro CLI integrate seamlessly into developer workflows without disruption
• AWS maintains 400+ MCP servers, shared spec farms enabling teams to collaborate effectively
• Embedded experts and principal engineers spread agent knowledge and measure productivity closely
• Andy Horwitz notes security leads Marketplace growth, primarily through private offer expansion
• Netskope's new DSPM product addresses AI data security, driving strong customer adoption momentum
• Enterprise customers now ask if vendors are AWS badged, deals 41-58% larger
• Andy advises ISVs: prepare sales teams thoroughly, focus co-sell, secure executive buy-in
• Bill Hustad emphasizes distinct marketplace strategy, seller training, and ruthless operational tracking for success

Participants:

• Bill Hustad - Global Head of Channel and GTM Ecosystems, Atlassian
• Andy Horwitz – SVP, Global Partner Ecosystems, Netskope
• Matt Yanchyshyn – VP, AWS Marketplace & Partner Services, Amazon Web Services

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

Raviteja Yelamanchili shares how Scale AI transformed banking cycles from one year to real-time and why your most valuable enterprise data isn't being collected.

Topics Include:

• Scale evolved from data annotations company to enterprise AI solutions provider
• Healthcare system transformed patient transcriptions into value using reinforcement learning research
• Blank slate customer problems allow Scale to experiment with latest methods
• Many customers propose solutions before explaining their actual underlying business problems
• Biggest AI misconception: technology will replace jobs rather than augment productivity
• Don't wait for perfect AI—start learning through iteration and evolution now
• Banking credit cycle transformed from one-year process to real-time strategic insights
• Scale deploys flexibly across EC2, EKS, or Bedrock based on customer requirements
• Enterprises want business value generation more than academic research papers alone
• Next 12-24 months focus: making data consumable and leveraging unused datasets
• Tribal knowledge from experienced SMEs represents most valuable yet uncollected data
• Agent-based learning captures expertise through feedback loops on Scale's SGP platform

Participants:

• Raviteja Yelamanchili - Head of Solution Engineering, Scale AI

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