Kaltura's Ruthie Eisenberg and Yair Neumann reveal how the video giant is reinventing itself as an agentic digital experience company built on AI avatars and hyper-personalized content.

Topics Include:

• Kaltura founded 2006, went public on NASDAQ in 2021.
• Kaltura reinventing itself from video company to agentic digital experience company.
• Shift from static content delivery to hyper-personalized conversational experiences.
• Partners and customers now demand intelligence, not just video infrastructure.
• Kaltura's mission: powering agentic experiences across customer and learner journeys.
• AWS co-sell motion strengthened as Kaltura runs on AWS AI infrastructure.
• Camille used a Kaltura avatar to scale her own presentations.
• Most enterprise websites bury content behind thousands of static links.
• Kaltura builds personalised web pages on the fly, in real time.
• Over 80% of content users see is surfaced for the very first time.
• Acquisitions of eSelf.ai and PassFactory complete Kaltura's agentic content flywheel.
• PassFactory answers: what should this specific person see next?
• eSelf.ai enables multimodal conversational avatars that guide users emotionally.
• 20 years of behavioral data underpins Kaltura's content intelligence advantage.
• GPU scarcity and compute costs shape every AI architecture decision Kaltura makes.
• Kaltura optimises model tiers — strongest for planning, lighter models for execution.
• Fidelity, speed, and cost form a constant triangle in every AI product decision.
• Go-to-market and product teams now work closer together than ever before.
• Pricing shifting from seat-based SaaS to consumption and outcome-based models.
• Kaltura co-creating pricing frameworks with customers across different verticals.
• Internal product agent now handles research, stories, and data analysis autonomously.
• Small two-to-three person squads move fastest in the current AI environment.
• Yair's advice: fail at least once a week, succeed once a quarter.
• Kaltura scaled its CEO via avatar for a live investor earnings call.
• Ruthie's advice: keep the customer at the centre of every single decision.

Participants:

• Ruthie Eisenberg – Vice President, Strategic Partnerships, Kaltura
• Yair Neumann – Senior Vice President of Product, Kaltura
• Kamil Davidov – Sales Leader Israel ISV-BizApps, Amazon Web Services
• Johan Broman – EMEA ISV Head of Solutions Architecture, 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/

With 250,000 customers and $1.2B in revenue, Monday.com's CPTO explains why they threw out their roadmap and rebuilt everything around agentic AI.

Topics Include:

• Daniel Lereya joined Monday.com when it had just 30 people and five engineers.
• He grew the R&D org from five engineers to roughly 900 over a decade.
• Three years ago Daniel became Monday.com's first ever CPTO.
• Monday.com initially approached AI by adding small features across the product.
• They called this early phase "sprinkling AI dust" — helpful but not transformative.
• A pivotal board meeting made Daniel realise AI hadn't changed Monday's core value.
• Monday.com decided to rethink its mission from first principles around AI.
• The new mission: AI agents that actually execute work, not just manage it.
• AI gives businesses an "infinite workforce" regardless of company size.
• Agents can now do hyper-personalised work at a scale humans simply cannot.
• Monday's platform puts agents at the centre, replacing boards and dashboards.
• Shared context and human-in-the-loop handoffs make their agents uniquely powerful.
• Monday ran an "AI month" — pausing the entire 900-person builder org to transform.
• The month rebuilt team mindset and energy, reminding staff of early startup days.
• Monday also ran an "agentic week" where every department built their own agents.
• Finance built agents to automatically match incoming payments to customer accounts.
• Scaling AI adoption internally remains the biggest challenge across businesses today.
• Monday introduced "effective AI" — balancing capability with cost efficiency.
• They acquired voice AI startup One AI to add specialised model capabilities.
• On pricing, Monday shifted to a hybrid seats-plus-AI-credits consumption model.

Participants:

• Daniel Lereya – Chief Product and Technology Officer, Monday.com
• Kamil Davidov – Sales Leader Israel ISV-BizApps, Amazon Web Services
• Johan Broman – EMEA ISV Head of Solutions Architecture, 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/

PagerDuty SVP Rukmini Reddy explains why AI is making software operations exponentially more complex — and why the companies that learn and recover fastest will be the ones that win.

Topics Include:

• PagerDuty powers critical digital operations for enterprises and AI-native companies.
• Founded by early AWS employees who experienced always-on system failures firsthand.
• The platform evolved from simple alerting into a full operational intelligence platform.
• Complexity exploded with microservices, cloud-native infrastructure, and multi-cloud environments.
• Reliability must be a core value — not an operational afterthought.
• PagerDuty's culture champions the customer above everything else.
• Employee recognition extends beyond sales to celebrate the whole business.
• AI is accelerating software creation but making operations far more complex.
• AI fails differently — silently, unpredictably, with a much larger blast radius.
• Enterprises should leverage their operational history as a competitive AI asset.
• AI-native companies must build operational resilience early, not bolt it on later.
• The winners won't build fastest — they'll learn and recover fastest.

Participants:

• Rukmini Reddy – Senior Vice President of Engineering, PagerDuty

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