Astronomer's Steven Hillion reveals how OpenAI, Anthropic, Uber, and Lyft use Apache Airflow to orchestrate AI and machine learning pipelines at scale on AWS.

Topics Include:

• Steven Hillion leads data and AI at Astronomer
• Apache Airflow surpassed Spark and Kafka in community metrics
• Astronomer coordinates data flow like conductor orchestrating instrumental platforms
• Organizations with data engineering teams use Airflow at scale
• Customers already used Airflow for ML before official promotion
• Uber and Lyft orchestrate pricing models using Airflow
• Astronomer runs on AWS with close integration partnerships
• OpenAI Anthropic and GitHub Copilot use Airflow for operations
• Internal data team uses Airflow creating feedback loops
• Evolved from constrained AI reports to agentic workflows
• Platform monitors generative AI output quality at user interactions
• Metadata and context increasingly critical for AI applications
• Learn more at Astronomer’s Data FlowCast podcast

Participants:

• Steven Hillion – SVP, Data and AI, Astronomer

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Learn how Docupace transformed from cloud-native platform to AI-powered wealth tech leader, leveraging AWS partnerships and customer obsession to accelerate growth.

Topics Include:

• Docupace Technologies has served wealth management firms for twenty years.
• Three SaaS product lines streamline advisor workflows and back offices.
• AI transforms both customer operations and Docupace's internal business practices.
• Trust between advisors and investors drives conservative technology adoption approach.
• Serving seven top-ten broker dealers demands careful data security strategies.
• AI shifts financial systems from deterministic certainty to probabilistic outcomes.
• Industry began AI adoption with simple meeting note-taking applications.
• Docupace's agentic AI framework enables safe, observable, orchestrated agent deployment.
• Multiple verification layers and human oversight ensure zero-error financial operations.
• Internal AI implementation required nine months navigating change management hurdles.
• Team curiosity and rapid experimentation matter more than traditional skill sets.
• AWS customer obsession and partnership programs dramatically accelerate business growth.

Participants:

• Michael Pinsker – Founder and President, Docupace Technologies

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Boomi CEO Steve Lucas reveals how to flip AI's 95% failure rate to your favour with practical integration strategies, real-world agent deployments, and an AWS partnership.

Topics Include:

• Boomi solves the forever problem of complexity across applications and systems
• Twenty-five thousand customers use Boomi to automate anything and connect everything
• Boomi moves more data per second than the entire Visa network
• AI agents now integrate systems through simple commands, no coding required
• Agentic platform built with AWS creates custom AI agents in real time
• Use cases include expense monitoring and heart defibrillator battery checks daily
• Automotive companies use AI agents to assess tariff risks across supply chains
• Hospitals deploy agents to detect patient falls and alert medical professionals immediately
• Control Tower co-innovated with AWS monitors and manages all AI agents centrally
• Deterministic processes like payroll shouldn't use AI, probabilistic challenges should
• Ninety-five percent of AI projects fail due to data access problems
• Agentic workshops help companies identify high-ROI opportunities and achieve AI success

Participants:

• Steve Lucas – Chairman & CEO, Boomi

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

Fabric CTO Ankush Goyal reveals how AI Search is transforming commerce discovery and why merchants need AI agents to compete effectively.

Topics Include:

• Fabric builds AI agents for commerce, solving merchant visibility challenges
• Commerce shifting due to AI Search channels and smaller retail teams
• Product Agent monitors and improves product visibility across AI channels
• PetMeds uses Fabric to optimize AI Search and automate SKU onboarding
• Fabric evolved from commerce platform company to AI agent solutions
• Agentic and generative AI work together to optimize product catalogs
• Fabric uses AWS EKS, Bedrock, S3, and Nova models heavily
• AWS partnership connects Fabric with industry leaders and growth opportunities
• AWS services enable reliable, cost-effective, and performant enterprise AI agents
• Prototyping agents is easy, but enterprise-grade reliability is extremely challenging
• Four key learnings: workflow reliability, context engineering, cost effectiveness, feedback loops
• CTOs should define agent goals, guardrails, context, and evaluations early
• Long-running workflow durability and snapshots prevent costly repeated work failures
• Future innovations focus on specialized models, retrieval frameworks, automated evaluations
• Merchants can evaluate AI Search performance at fabric.inc or LinkedIn

Participants:

• Ankush Goyal – Chief Technology Officer, Fabric

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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/