Latest Interviews
Showing 1–9 of 9 transcripts.
Clear all filters- RAISE Summit16 min
Dr. Ilya Burkov (Nebius): Powering Next‑Gen Biotech Research with High‑Performance AI and Cloud GPUs
Nebius, a vertically integrated Dutch cloud provider, leverages its unique pay-as-you-go infrastructure and top-tier supercomputer ranking to support biotech and healthcare firms in overcoming hardware bottlenecks. The platform enables critical advancements in drug discovery and radiology diagnostics for organizations like Converge Bio and Simulacra AI, which achieved significant accuracy gains and speedups over hyperscaler alternatives by utilizing on-demand H100 GPU capacity. Looking toward 2025, the company aims to expand its global footprint by integrating agentic AI and multi-omics data processing to address workforce shortages and accelerate time-to-market for new treatments.
- RAISE Summit18 min
Eric Piscini (Hashgraph) & Jonathan Dotan (EQTY Lab): Proof of Trust Rethinking AI ft. DLTBlockchain
Equity Lab and its partner Hedera are deploying a hardware-rooted system that leverages next-generation Intel and NVIDIA secure enclaves to generate tamper-proof certificates for AI agents, addressing the critical trust barrier identified by business leaders. This architecture delivers a 400,000x performance improvement in cryptographic proof generation while recording immutable audit trails on the Hedera blockchain to ensure compliance with global regulations like GDPR. Following a successful pilot with 11 Accenture agents, the technology positions itself as an essential infrastructure for the projected trillions of autonomous agents expected to dominate future web traffic and enterprise supply chains.
- RAISE Summit10 min
Jack Collier, Chief Growth & Marketing Manager, IO.Net: Why Open Models Need Open Infrastructure
A recent analysis identifies a critical infrastructure bottleneck where centralized control of compute power and API dominance force 70% of users toward closed-source models despite 83% preferring open alternatives. To dismantle these barriers, io.net leverages a global distributed network of over 1,000 GPUs to slash costs from $15 to $3.50 per million tokens while offering transparent, blockchain-verified access for training and inference. The platform is further expanding its ecosystem through a new "Training as a Service" feature and an inaugural hackathon, aiming to accelerate the shift toward a permissionless, decentralized AI future.
- RAISE Summit17 min
Alex Laubscher, CTO of Windsurf: Engineering at the Speed of Change
Alex Laubscher, Dimitris Bontolos
Windsurf has transitioned from a basic coding tool to an AI agentic IDE, rapidly evolving to enable enterprises to write approximately 90% of their code while tackling complex legacy systems through advanced retrieval and memory capabilities. The platform supports this high-velocity adaptation by integrating design files, reducing project iteration times from months to days as seen with partners like Ferrovial, and targeting a 99% productivity increase in software engineering. To secure global enterprise adoption, the company recently established a Frankfurt data center to guarantee GDPR and FedRAMP compliance, ensuring data sovereignty for clients in sensitive sectors while preparing to scale from 100 to hundreds of large European organizations.
- RAISE Summit13 min
Alison Wagonfeld @ Google Cloud: Marketing in the AI Era
Google Cloud marketing is pivoting from theoretical planning to active AI execution, targeting key challenges like staffing shortages and budget constraints through tools such as generative asset creation and the VO3 video model. This shift has redirected 75% of team focus toward strategic work while replacing expensive traditional production with self-service agents and real-time personalization features like location-aware digital billboards. As the industry enters a predicted "golden age of marketing," leaders are urged to embrace these transformative capabilities beyond simple workflow digitization to redefine customer interaction within the next two years.
- RAISE Summit17 min
Windsurf CTO, Alex Laubscher: Engineering at the Speed of Change
Alex Laubscher, Dimitris Bontolos
Windsurf has evolved from an autocomplete tool into an agentic IDE, leveraging a million-user base and strategic partnerships with major enterprises like JPMorgan and Dell to navigate the shift from AI adoption to continuous adaptation. The platform drives efficiency in complex legacy environments by integrating real-time context from tools like Figma and Slack while meeting strict security standards through FedRAMP accreditation and a new Frankfurt data center. Recent deployments, such as the infrastructure case study with Ferrovial, demonstrate how these advanced retrieval capabilities compress development timelines from months to days, reinforcing the company's focus on high-value brownfield modernization over consumer applications.
- RAISE Summit12 min
Keynote by Christopher Savoie, Zapata AI CEO | RAISE Summit 2024 | Paris
Zapata, a public company spun from Harvard, deploys an edge-native architecture using tensor networks and specialized small model ensembles to solve latency and cost constraints for enterprise AI. The firm demonstrated this capability by implementing a 60-model system on Formula 1 cars that accurately predicted race disruptions in real-time, alongside a partnership with Sumitomo Mitsui Trust Bank for financial trading applications. By leveraging military-grade hardware to process streaming data locally, Zapata enables high-precision predictions in biomanufacturing, racing, and finance without reliance on unstable cloud connectivity.
- RAISE Summit21 min
Keynote by Caspar Herzberg, AVEVA Systems CEO | RAISE Summit 2024 | Paris
Caspar Herzberg, Kasper Hesberg
Aveva CEO Kasper Hesberg is set to launch in June an industrial AI assistant that merges predictive analytics with Large Language Models to help engineers overcome data silos and access the insights of veterans with 12 years of experience. This solution, already validated in cases like Duke Energy where it prevents $90 million in losses per event, addresses the critical challenge of 70% unused time-series data by summarizing technical manuals and guiding remote collaboration through 3D asset visualizations. By strictly limiting its scope to verified telemetry and documentation, the system delivers high-accuracy maintenance predictions while mitigating the hallucination risks common to general-purpose AI.
- RAISE Summit11 min
Machine Unlearning: Making AI Forget | RAISE Summit 2024 | Paris
Hirundo addresses the critical compliance gap identified by Stanford research, where 83% of foundational models violate the EU AI Act by trapping irreversible personal data and sensitive information. The company offers a neuro-surgical unlearning platform that enables engineers and compliance officers to selectively erase specific data from trained models in minutes, achieving 95% efficiency gains over traditional retraining. Backed by Alpha Intelligence Capital and led by a team including the former Dean of Computer Science at the Technion, Hirundo positions selective unlearning as the essential standard for navigating global data privacy regulations without sacrificing model performance.