AWS for Software Companies Podcast

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/