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/

In a keynote address from re:Invent, McKinsey & Company's Lareina Yee shares fascinating data, trends and best practices on AI adoption, the future of skillsets, and leadership insights that are needed for AI transformation at scale.

Topics Include:

• Over 80% of companies have adopted AI in at least one business function currently.
• Despite heavy investment, 62% of companies remain in experimental or pilot phases with AI.
• Only 7% of organizations have achieved full-scale AI implementation, up from 2% earlier this year.
• Agentic AI has proliferated rapidly across functions from knowledge management to manufacturing in one year.
• Between 45% and 5% of companies have implemented AI agents across different business functions today.
• AI's productivity potential represents $4.4 trillion in economic value beyond just cost savings opportunities.
• Innovation ranks as the number one goal for AI investments, ahead of cost reduction priorities.
• Employee satisfaction, customer satisfaction, and competitive differentiation drive AI adoption alongside revenue growth and cost.
• High AI performers view implementation as total enterprise transformation, not just technology deployment projects.
• Leading companies spend 4.9 times more budget on AI investments compared to average performing organizations.
• Traditional software stacks evolved to SaaS, now transforming into AI-ready tech stacks within one generation.
• Job outlook remains mixed: 32% expect losses, 13% expect increases, 43% see no major change.
• Since 2023, significant skill shifts show increased demand for software development and business intelligence capabilities.
• AI fluency has increased seven times as the most sought-after skill across all job types.
• AI fluency means using AI in everyday work, not building models or creating large language models.
• Skills like driving records, coaching, customer service, and management remain harder to automate with current AI.
• Transactional, data-driven repetitive tasks like inventory management and invoicing face highest automation exposure currently.
• Historical technology revolutions like electricity created six to eight jobs for every one job displaced.
• New roles like prompt engineering emerge, requiring skills like effective questioning rather than technical coding.

Participants:

• Lareina Yee - Director of Technology Research, McKinsey & Company

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

AWS Principal Solutions Architect Wallace Printz explains how agents are reshaping SaaS business models, pricing strategies, and technical architectures.

Topics Include:

• Wallace Printz discusses agentic workloads transforming SaaS with largest AWS customers
• New interaction models include generative UI, voice agents, and proactive work
• Agents extending SaaS products to interact with external systems and businesses
• Virtual teammates enabling cross-department collaboration and upskilling non-expert users effectively
• Monetization strategies evolving as predictable costs become variable with agents
• Three patterns: dedicated agents, shared agents, and multi-tenant personalized agents
• Multi-tenant agents enable hyper-personalized experiences using individual tenant context enrichment
• Agent-centric business strategy requires real assessment beyond AI hype cycle
• Agent orchestration complexity grows with multiple specialized agents interacting together
• Tenant isolation requires JWT tokens and AWS Bedrock Agent Core identity
• Cost-per-tenant management needs LLM throttling, tiering, and unified control plane
• Multi-tenancy creates sticky personalized experiences; AWS white paper releasing soon

Participants:

• Wallace Printz - Principal Solution Architect, 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/

Industry leaders from Boomi, Demandbase and Smarsh share hard-won lessons on balancing AI creativity with guardrails, why data quality trumps frameworks, and deploying AI at scale.

Topics Include:

• Three industry leaders share experiences building AI solutions at Boomi, Demandbase, and Smarsh.
• Smarsh manages trillion communications for financial services, detecting bad actors across multiple channels.
• Boomi built agent studio, garden, and control tower while spawning 33,000 internal agents.
• Chris Timmerman used vibe coding to build embeddable Boomi in five months solo.
• Companies balance creativity with guardrails, starting with IT policies before unleashing innovation.
• Internal adoption driven by empowering teams to build their own solutions versus top-down.
• Demandbase saw 70% adoption within six months through grassroots approach and local champions.
• Measuring success proves challenging, comparable to tracking Excel usage rather than specific KPIs.
• Companies focus on outcomes like touch-free bug fixes and support metrics versus raw usage.
• Biggest lesson: Data quality and context determine success more than agentic frameworks.
• Need scaling framework from low-risk UX improvements to high-risk automation with appropriate guardrails.
• Industry created fatigue by overpromising; should have started smaller with realistic expectations.

Participants:

• Chris Timmerman – Vice President, Global Services Delivery, Boomi
• Harshal Dedhia – Vice President of AI, Demandbase
• Brandon Carl - Executive Vice President of AI and Product Strategy, Smarsh
• Allison Johnson - AMER Technology Partnerships Leader, 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/

Phill Robinson of Boardwave joins Miguel Alava and Massimo Ghislandi of AWS to share research and actionable strategies for European software companies using cloud infrastructure, AI features, and marketplace leverage to drive unprecedented growth.

Topics Include:

• Boardwave and AWS reveal research on European software companies becoming global innovators.
• Cloud-first businesses exceed customer expectations at 60% versus 46% for laggards.
• Boardwave's 2,500 CEO members validate findings: AI companies growing 45% annually.
• Leaders excel at gathering customer feedback for innovation and implementing AI.
• Top performers leverage marketplaces and deliver continuous customer experience updates consistently.
• Cloud adoption is foundational for generative AI and agentic AI to scale.
• Companies face different challenges depending on their cloud maturity stage currently.
• Cloud serves as table stakes before companies can capture AI growth opportunities.
• Benchmarking tool helps identify current position and plan strategic next steps forward.
• Startups should solve universal problems globally, building painkillers not vitamin products.
• Intercom scales customer service; Wix transforms efficiency through cultural and engineering mindset.
• Future requires cloud foundation with AI features; AWS offers comprehensive support programs.

Participants:

• Phill Robinson – Chair & Co-Founder, Boardwave
• Miguel Alava – EMEA ISV General Manager, Amazon Web Services
• 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/