Latest Interviews
Showing 1–15 of 78 transcripts.
Clear all filters- RAISE Summit19 min
Fireside Chat with Mark Moffat, CEO of IFS | RAISE Summit 2026
IFS, under the leadership of CEO Mark Moffat, distinguishes itself in capital-intensive sectors like utilities and aerospace by deploying "forward-deployed engineering" to solve complex physical value chain challenges rather than merely offering software features. This approach has yielded a 96% gross retention rate and a notable 38% reduction in downtime for clients such as Grant Distillery, while simultaneously underpinning 100% of US commercial aviation flights through a hybrid model of probabilistic optimization and deterministic safety. To ensure resilience against geopolitical shifts, the company further secures its position with a sovereign AI architecture that leverages edge-deployed, agnostic models across its global supply chain.
- RAISE Summit40 min
Architecting the Agentic Enterprise | Traversal, Kong, Pigment & Twelve Labs | RAISE 2026
Shubho Sengupta, Anish Agarwal, Carl Mattsson, Eleonore Crespo, Soyoung Lee, Cathy Gao
Moderated by Kathy Gao of Sapphire Ventures, this panel unites five founders to address the critical transition of AI agents from experimental proof-of-concepts to reliable, autonomous enterprise production in 2026. The discussion identifies key obstacles such as non-deterministic failure modes, security friction, and accountability gaps, while proposing strategies like deterministic output layers, structured human-in-the-loop oversight, and outcome-based pricing to ensure value delivery. By analyzing data showing that most current AI initiatives fail to impact EBITDA, the session outlines a roadmap for shifting investment from edge use cases to core business operations through proprietary data infrastructure and stable governance models.
- RAISE Summit39 min
The AI Gold Rush: Models Are Shovels, Data Is the Gold | RAISE Summit 2026
Gareth Davies, Will Bryk, Dmitry Panenkov, Mark Surman, Alex Bouzari, Akhil Ahuja
This panel features industry leaders from Okta, DDN, Mozilla, Emma, and Exa discussing the strategic pivot from model-centric AI to a data-driven economy where proprietary data quality and security determine competitive advantage. Experts highlighted critical infrastructure challenges, noting that 48% of enterprises fail to secure AI agents while emphasizing the urgent need for sovereign data solutions and fair data markets to unlock the exponential costs of agentic inference. The discussion concluded that future enterprise success relies on "data network effects" and robust governance frameworks, as organizations transition from experimental sandboxes to production environments driven by headless, agent-based architectures.
- RAISE Summit39 min
The Trillion Dollar Question: Financing AI's Infrastructure | Modular, IREN & More | RAISE 2026
Tim Davis, Kent Draper, James B. Krellenstein, Wayne Nelms, Erwan Menard, Jeremie Eliahou Ontiveros, Jeremy, Tim Buckley, James Kallenstein
The AI infrastructure sector is undergoing a structural shift toward extreme capital intensity, prompting neoclouds like Iron and Crusoe to adopt complex financing models that blend investment-grade debt, Microsoft prepayments, and diverse revenue streams such as token sales. Simultaneously, industry leaders are addressing asset lifecycle mismatches and energy bottlenecks by leveraging software-driven fungibility for non-NVIDIA silicon and securing "behind-the-meter" nuclear uprates to bypass regulatory delays. This evolving landscape enables lenders to backstop sub-investment grade counterparts while hyperscalers vertically integrate to capture higher margins, ultimately transforming compute into a standardized, tradable commodity.
- RAISE Summit20 min
Why the Next Marketing Giant Will Be Hyperlocal, Not Global | HubKonnect | RAISE Summit 2026
Michael outlines a critical market shift where enterprise marketing transitions from national campaigns to hyperlocal activation driven by a centralized intelligence layer that compounds data across millions of location-specific points. This operational reset requires C-suite alignment to replace obsolete agency models with an "Ecosystem as a Service" approach, ensuring data reciprocity and transforming marketers into real-time profit center drivers using Hyperlocal Intelligence. Ultimately, the differentiator for future growth lies not in isolated SaaS tools but in "better operators" who leverage proprietary datasets to execute culture shifts that empower rapid, data-informed decision-making at the individual unit level.
- RAISE Summit18 min
Operating AI Infrastructure at Multi-Model, Multi-Cloud Scale | RAISE Summit 2026
Lukas Gentele, Bola Malek, Nikita Vdovushkin
Nebius and Base10 are redefining the AI infrastructure landscape by pivoting from raw compute provision to managed "Token Factory" services that prioritize inference efficiency and multi-cloud orchestration across dozens of providers. While Base10 aggregates demand across 90+ regions to ensure redundancy and data sovereignty, Nebius leverages vertical hardware integration to optimize cost-to-performance ratios, together supporting a market shift toward hybrid open-source and proprietary model strategies. This collaboration and competitive tension address the growing enterprise demand for transparent, token-based pricing and localized hosting solutions that balance geopolitical constraints with the need for scalable, specialized AI deployment.
- RAISE Summit19 min
Sovereignty in the Age of AI | Shalev Hulio, Dream | RAISE Summit 2026
Global leaders are increasingly prioritizing sovereign AI to secure national infrastructure by controlling the full AI architecture from data to deployment, driven by fears of external shutdowns and the weaponization of open models by state-sponsored threat groups. The cybersecurity landscape is shifting toward an autonomous "AI versus AI" dynamic where traditional reactive defenses are deemed insufficient against rapid, unregulated advancements, particularly from adversaries lacking restrictive guardrails. With the convergence of computing power, cyber capabilities, and quantum technology defining future superpowers, nations face an existential imperative to rapidly assess their capacity to execute a sovereign AI strategy or risk obsolescence in the coming era.
- RAISE Summit41 min
The Building Blocks of AI: Inside the Open Stack | ZML, LiveKit, ClickHouse & Neo4j | RAISE 2026
Steeve Morin, Russell d'Sa, Alexey Milovidov, Philip Rathle, Abel Samot, Alexey Kurtenkov
Leaders from ZML, ClickHouse, Neo4j, and LiveKit convened to outline the transition from "Old Regime AI" to Agentic AI, highlighting how their respective open-source infrastructures address critical needs in hardware inference, real-time data processing, graph-based context, and human-computer interaction. The panelists emphasized that while models and code face rapid commoditization, sustainable value will derive from proprietary data moats, sovereign infrastructure requirements, and specialized application layers like the proposed "Harness Layer" that supports diverse hardware architectures. With valuations reaching up to $15 billion and strategic integrations such as OpenAI's adoption of LiveKit, these companies argue that software composability and open-source strategies are essential for maintaining performance gains and avoiding vendor lock-in in a GPU-constrained market.
- RAISE Summit20 min
Six Days in the Field: What a Defense Deployment Teaches About Sovereign AI | RAISE Summit 2026
Dan Wright, Dr. Chaouki Kasmi, Tala Aj Jabri, Shawi Kasmi
UAE-based Taktika AI and US-based Armada successfully deployed a modular, AI-enabled data center in a remote, isolated field environment within six days to address urgent maritime and geospatial intelligence challenges. This sovereign infrastructure operates as a fully air-gapped system, delivering speed and resiliency by utilizing pre-existing mobile assets rather than relying on external cloud providers or complex supply chains. The partnership aims to replicate this high-efficiency model in Europe and the US, targeting organizations with stranded data assets while adapting the technology for both defense and non-defense sectors.
- RAISE Summit19 min
The New Arms Race: Securing Frontier AI Before It Secures Us | RAISE Summit 2026
Dan Lahav, Michael S. Rogers, Larissa Holzki
Driven by recent security incidents where AI models demonstrated autonomous hacking capabilities and coordinated social engineering, the US government has intervened to restrict model access while assigning the NSA the role of classifying AI as a national security asset. Experts highlight that rapid technological evolution outpaces current regulatory frameworks, creating a landscape where open-source vulnerabilities and autonomous agent behaviors present unprecedented insider risks that static defenses cannot contain. Consequently, business leaders are advised to adopt aggressive scenario planning and sandboxing protocols to manage the uncertainty of a future where machine-to-machine coordination fundamentally alters the threat environment.
- RAISE Summit36 min
Sovereign Stacks: Building Trusted AI on National Terms | RAISE Summit 2026
Mohsen Moazami, Thomas Di Giacomo, Cory Hawkvelt, Simon Muskett, Gleb Budman, Claire Thomas-Daoulas
Industry leaders including Gleb Budman, Simon Musket, and Thomas Di Giacomo defined sovereign AI as pragmatic organizational control over data and infrastructure rather than mere geographic residency, emphasizing that vendor exit options and workflow autonomy are the true measures of sovereignty. The panel further analyzed how geopolitical export controls and massive capital requirements are driving domestic innovation in China and the Middle East while urging Europe to prioritize open industrial ecosystems over attempting to replicate U.S. hyperscaler models. Ultimately, experts concluded that sovereignty will remain a critical strategic focus through 2035, though its definition will evolve to emphasize resilience and interdependence over isolationist regulatory compliance.
- RAISE Summit17 min
AI for Chip Design & Chip Design for AI | Ricursive Intelligence | RAISE Summit 2026
Anna Goldie, Azalia Mirhoseini, Azalea Amir-Hosseini
Founded by former Google Brain engineers Anna Goldie and Azalea Amir-Hosseini, Recursive Intelligence deploys its AlphaChip reinforcement learning system to replace months of manual chip design with superhuman layout generation that runs 1,000 times faster than commercial tools. The company is currently in Phase One, accelerating physical design for major manufacturers like NVIDIA and AMD, while its roadmap targets a "design-less" future where companies specify workloads to receive co-optimized hardware instantly. Ultimately, Recursive aims to close a recursive self-improving loop by eventually building its own chips and models, promising up to 20x performance gains through microarchitectural customization.
- RAISE Summit38 min
AI and Open Source: Shaping Each Other's Future | RAISE Summit 2026
Raj Dutt, Mark Surman, Oskari Saarenmaa, Gideon Mendels, Charles Zedlewski, Olivier Huez
Leaders from Grafana, Mozilla, Comet, and Together AI convened to define the distinctions between open source and open weight models while debating licensing strategies like AGPL to secure commercial viability against hyperscalers. The panelists analyzed how economic models must balance community adoption with value capture, emphasizing that trust in infrastructure and continuous innovation often drive revenue more than proprietary feature locks. Looking forward, the group predicted a self-reinforcing cycle where AI models trained on open code will increasingly recommend open source solutions, ensuring the ecosystem's dominance despite rising tensions over economic commoditization.
- RAISE Summit40 min
Compute as Capital: Redefining AI's New Currency | WEKA, Akamai, TensorWave & More | RAISE 2026
Val Bercovici, Carmen Li, Parimal Pandya, Sam Tabar, Piotr Tomasik, Robin Wauters
With global AI infrastructure spending projected to reach $7 trillion by 2030, industry leaders identify power access and specialized talent as the primary constraints limiting supply. Experts from White Fiber, Weka, and Silicon Data argue that compute has evolved into a high-value asset class driven by unique market dynamics, including appreciating H-100 GPU values and emerging financial instruments for compute volatility. While current value capture remains anchored in the physical supply chain of chips and energy, the sector anticipates a structural shift toward application-layer returns by 2031 alongside advancements in virtual supercluster technologies and regional market expansion.
- RAISE Summit42 min
The Data Problem: What AI Actually Runs On | RAISE Summit 2026
Matt Fitzpatrick, Philippe Mizrahi, Noam Salinger, Molly Presley, Travers Nisbet, Petrina Anne Steele, Petrina Steele, Emily Fortuna
Enterprise AI adoption remains critically hampered by organizational inertia and legacy infrastructure, with only 5% to 8% of projects reaching production while global compute allocation shifts decisively toward 80% inference needs. Leaders must address fragmented data silos and misaligned workflows by implementing global namespaces and human-in-the-loop validation protocols to ensure agents meet strict liability standards. As constraints evolve from pure data quality to energy supply and physical infrastructure, successful transformation will depend on re-engineering business processes rather than merely overlaying new models onto broken systems.