Learn how Coveo automated LLM migration like a "mind transplant," building frameworks to optimize prompts and maintain quality across model changes.

Topics Include:

• AWS and Coveo discuss their Gen-AI innovation using Amazon Bedrock and Nova.
• Coveo faced multi-cloud complexity, data residency requirements, and rising AI costs.
• Coveo indexes enterprise content across hundreds of sources while maintaining security permissions.
• The platform powers search, generative answers, and AI agents across commerce and support.
• CRGA is Coveo's fully managed RAG solution deployed in days, not months.
• Customers see 20-30% case reduction; SAP Concur saves €8 million annually.
• Original architecture used GPT on Azure; migration targeted Nova Lite on Bedrock.
• Infrastructure setup involved guardrails and load testing for 70 billion monthly tokens.
• Migrating LLMs is like a "mind transplant"—prompts must be completely re-optimized.
• Coveo built automated evaluation framework testing 20+ behaviors with each system change.
• Nova Lite improved answer accuracy, reduced hallucinations, and matched GPT-4o Mini performance.
• Migration simplified governance, enabled regional compliance, reduced latency, and lowered costs.

Participants:

• Sebastien Paquet – Vice President, AI Strategy, Coveo
• Yanick Houngbedji – Solutions Architect Canada ISV, 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/

Dion Hinchcliffe, Vice President of CIO Practice at Futurum Group, reveals how EMEA software companies can turn Europe's regulatory rigor into a competitive superpower while navigating AI adoption and cloud transformation challenges.

Topics Include:

• AWS surveyed 750+ EMEA software companies to understand their growth challenges.
• European tech firms lag US counterparts but AI presents catch-up opportunity.
• EMEA companies prioritize data sovereignty and privacy over rapid cloud adoption.
• Tier-2 local cloud providers often lack capabilities needed for global scaling.
• Cloud-native companies show faster growth and innovation than traditional competitors.
• Best practices for cloud architecture now well-established across major platforms.
• CEOs lead AI transformation; 100% of tracked companies using AI substantially.
• Software companies report 80% of customers now requesting AI capabilities.
• IT talent shortage requires solutions needing minimal specialized skills to deploy.
• ERP modernization accelerating as cloud-native systems offer superior capabilities.
• Europe's regulatory rigor becomes competitive advantage in trustworthy technology.
• AI adoption continues at light speed; quantum computing emerges within five years.

Participants:

• Dion Hinchcliffe - Vice President of CIO Practice, Futurum Group
• Massimo Ghislandi – Head of EMEA Marketing for Software Companies, 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/

Experienced CISOs from MongoDB and Gusto reveal proven frameworks for translating complex cybersecurity metrics into board-friendly presentations that drive decision-making.

Topics Include:

• Security leaders discuss challenges of presenting technical cybersecurity topics to boards
• MongoDB CISO presents three times in six months, Gusto director five times
• Three-angle metrics framework: environmental threats, prevention quality, and detection/response speed capabilities
• Board members switch contexts frequently, requiring extensive education and simplified heat maps
• Repeatable presentation models help board members follow consistent data across meetings
• Audit committees get different depth than general board updates on programs
• New technologies like AI require educating boards on risks versus opportunities
• Foundational security principles like zero trust remain constant regardless of technology
• Security buzzwords need translation appendices since board members forget technical definitions
• Financial services background helps translate cyber risks into dollar amounts boards understand
• Third-party penetration testing provides independent validation but requires vendor rotation strategies
• Limited 30-minute board time means trusting security leaders' vendor diligence decisions
• First-time CISOs should educate on threat landscape then tailor strategy to company
• Balance discussing shiny new technologies with essential foundational security blocking and tackling
• AI implementation spans customer features, infrastructure security, and augmenting security capabilities internally

Participants:

• Sean Josephson - Sr. Director of Information Security, Gusto
• Julien Soriano – Sr. Vice President, CISO, MongoDB
• Gee Rittenhouse - Vice President, Security Services, Amazon Web Services

Further Links:

• Gusto: Website – LinkedIn
• MongoDB: Website – LinkedIn – AWS Marketplace

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

John Skinner of Vectra AI shares how cyber attackers are democratizing sophisticated attacks using dark web tools, and why AI-powered hybrid defense is now essential for enterprise security.

Topics Include:

• Vectra AI: 13-year-old cybersecurity company founded as "AI native" from day one
• Built on machine learning assumption while competitors treated AI as afterthought
• Generative AI represents the latest evolution in their comprehensive AI journey
• Started pairing threat researchers with ML developers to codify attack behaviors
• Added agentic AI in 2018 for correlation across space and time
• Uses AWS Security Lake, GuardDuty, and recently became AWS Bedrock customer
• Success measured by reducing "dwell time" from initial attack to detection
• Achieved 60% faster alerts, 51% faster monitoring, 50% faster investigation times
• Customers should evaluate vendor's data science quality and algorithm training years
• Evolved hybrid defense approach as attacks start anywhere, go everywhere
• AI handles high-volume correlation while humans focus on analytical decisions
• Future challenge: democratized cyber attacks using readily available dark web tools

Participants:

• John Skinner – Vice President Corporate/Business Development, Vectra AI

Further Links:

• Vectra AI: Website – LinkedIn – AWS Marketplace - YouTube

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

Vice President of Engineering James Musson reveals how Lucanet integrated multiple acquired solutions into a unified platform, achieving 3-month integration timelines while serving 6,000+ customers.

Topics Include:

• Lucanet evolved from financial consolidation tool to comprehensive CFO solution platform
• Platform covers consolidation, planning, ESG reporting, tax compliance, and cash management
• Three key differentiators: easy to use, fast time-to-value, innovative AI features
• AI-powered XBRL tagging reduces days of manual work to minutes with 90% accuracy
• Complex challenge: integrating multiple acquired tech stacks with cloud-native platform development
• Built micro front-end architecture and platform services for seamless user experience
• Custom control plane automates customer onboarding and manages rolling upgrades safely
• Latest acquisition integrated into platform within three months, unprecedented speed
• Strong company culture focuses on innovation, hackathons, and continuous learning
• AI bootcamps and tech lunch sessions keep 6,000+ customer engineering teams engaged
• Balances AI innovation with regulatory compliance using deterministic core processes
• Heavy AWS adoption with serverless technologies handles peaky financial reporting workloads

Participants:

• James Musson – Vice President, Engineering, Lucanet

Further Links:

• Lucanet: Website – LinkedIn

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

Learn how Trellix transformed into a cloud-first security leader through strategic AWS partnership, generating $500M+ pipeline and winning major enterprise deals like Airbus.

Topics Include:

• Trellix's transformation: From legacy McAfee/FireEye to cloud-first cybersecurity solutions with AWS
• Partnership lessons: How AWS enabled 27-year-old ePolicy Orchestrator's successful cloud migration journey
• Legacy transition advice: Embrace innovation, don't follow the "Sears model" of resisting change
• AI go-to-market strategy: Dev days, marketplace usage, and Bedrock/Nova integrations driving customer adoption
• Customer AI concerns: Addressing data security fears and proving AI doesn't train on customer data
• Integration philosophy: XDR connects with AWS native services and even competitor tools seamlessly
• $12M Airbus win: Six-country enterprise deal showcasing collaborative sales across AWS teams and marketplace
• Future opportunities: AI-powered threat detection innovations and $500M+ pipeline through AWS marketplace

Participants:

• Taylor Mullins - Sr. Solutions Architect, Trellix
• Brian Shadpour - General Manager, Security B2B Software Sales, Amazon Web Services

Further Links:

• Trellix: Website – LinkedIn – AWS Marketplace

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

Brian Mendenhall, Worldwide Head, Security & Identity Partner Specialists of Amazon Web Services, reveals the insider framework for transforming enterprise AI security, including the three-pillar approach and partnership strategies that leading companies use to navigate AI governance challenges.

Topics Include:

• At AWS everything starts with security as core principle
• Consulting partners follow three-phase model: assess, remediate, then fully manage security
• Traditional security framework covers threat detection, incident response, and data protection
• AI compliance spans multiple governance bodies with stacking requirements and regulations
• EU AI Act affects any company globally if Europeans access their applications
• Three pillars: security OF AI, AI FOR security, security FROM AI attacks
• AWS launches AI security competency program with specialized partner categories and certifications
• Enterprise AI spans five risk levels from consumer apps to self-trained models
• Legal liability dramatically increases as you move toward custom AI implementations
• Safety means preventing harm; security means preventing breaches - both critical distinctions
• Current AI hallucination rates hit 65-75% across major platforms like Palantir
• Shared responsibility model determines who's liable when AI security tools fail
• Industry evolution progresses from machine learning to generative AI to autonomous agents
• Major prototype-to-production gap caused by governance, security, and scalability challenges
• Successful AWS partnerships require clear use cases, differentiation, and targeted go-to-market strategy

Participants:

• Brian Mendenhall - WW Head, Security & Identity Partner Specialists, 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/