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

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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

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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

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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

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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/