Vibe coding is accelerating code development within the Enterprise, but at what cost of security? Retool’s CEO shares how you can accelerate software development while managing the risks effectively.

Topics Include:

• Internal software runs pharmacies, grocery checkouts, and airport check-ins daily
• Retool manages and de-risks environment from insecure code
• AI has driven a 10x surge in code volume since 2025
• More code plus less human review means falling code quality
• Non-engineers can now build working apps in minutes flat
• But deploying and securing those apps remains genuinely difficult
• Multiple CIOs found private company data exposed on the internet
• Uncontrolled model choice is quietly driving up company costs
• Attackers now deploy automated agent swarms, not lone hackers
• Defense is asymmetric: one flaw in, everything must hold
• Retool runs inside customers' own cloud, often on AWS
• A single data choke point enables logging, audits, authorization
• Guardrails, not their absence, actually let teams move faster
• Security audits reveal major gaps in nearly all companies checked
• Nearly all companies may face a serious hack within 18 months

Participants:

• David Hsu – Founder, CEO, Retool

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

In a fascinating panel discussion, executives from Couchbase, SentinelOne and AWS share strategies ensuring the highest adoption and ROI when deploying AI and the pitfalls to avoid along the way.

Topics Include:

• Agentic AI marks shift from clever data to autonomous agents
• Organizations sit at different AI maturity levels, not uniform
• Only 31% of adopters see measurable financial impact from AI
• Adoption friction, not access, is what stalls most AI value
• Segment your workforce: innovators, pragmatic majority, and reluctant laggards
• Give innovators tools, budget, and freedom before chasing laggards
• Visible recognition programs turn early innovators into internal role models
• AI-ready data infrastructure remains the top blocker to real adoption
• Future AI value concentrates at customer-facing, transaction-level touchpoints
• Coding tools see fast uptake; broader business adoption lags behind
• AI is quietly rewriting SEO, SEM, and lead-routing strategy
• Agent trust requires both clean data and strong safety guardrails
• Human-in-the-loop review lets AI handle investigation, humans decide outcomes
• In agentic AI, go-to-market partnerships matter more than past tech waves
• Strong tech-platform partnerships help smaller vendors punch above their weight
• Marketplace listings can cut sales cycles from months to weeks
• Best partnerships form around solving hard problems, not quarterly quotas
• Confidence gap: only 38% of employees feel AI-ready

Participants:

• Deirdre Toner – President & Chief Commercial Officer, Couchbase
• Eran Ashkenazi - Chief Business Officer, SentinelOne
• Connie de Lange – Director, AWS Strategic Customer & Partner Marketing, North America, Amazon Web Services
• Matt Wood – Chief AI & Technology Officer, 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/

Demandbase's Vice President of Product explains why they deleted a fully-approved AI architecture two months before launch — and how the rebuild surpassed some of their customer’s highest expectations.

Topics Include:

• AWS's Achint Naveen introduces Demandbase's VP of Product, Chad Holdorf
• Demandbase unifies sales, marketing, and revenue data into one view
• November's architecture used many specialized agents, all committee-approved
• That design failed constantly — only a 30% conversation pass rate
• On May 11th, the team deleted the entire architecture
• Rebuilt in May with AWS Strands: one simpler, flexible agent
• Pass rate leapt from 30% to 94% almost overnight
• Week two retention rose from the low 20s to upper 80s
• Weekly active users grew 45% week-over-week after launch
• Real customer interviews play, calling the new AI a "dream"
• One user cut an hour-long report down to fifteen minutes
• Customers now trace ad impressions directly to closed deals
• Holdorf's advice: delete and rebuild when architecture gets too complex
• AWS's Naveen walks through Bedrock, AgentCore, and Strands
• AgentCore Memory highlighted as Demandbase's next area of exploration

Participants:

• Chad Holdorf – Vice President of Product Management, Demandbase
• Achint Naveen – Sr Account Manager, 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/