Latest Interviews
Showing 466–480 of 2,162 transcripts.
Clear all filters- RAISE Summit20 min
A Keynote by Thomas Sohmers, Co Founder & CTO of Positron
Positron AI, a startup founded in 2023, is deploying specialized hardware to address the inference bottleneck that now drives global GDP growth and limits traditional GPU efficiency for Transformer models. Their Atlas server and upcoming Titan system prioritize massive memory bandwidth over raw compute, delivering 70% higher throughput per dollar while operating at 150 watts to eliminate the need for liquid cooling. By enabling concurrent execution of multiple models up to 512 billion parameters on standard air-cooled infrastructure, the company aims to drastically reduce AI operating costs and reshape the economic landscape of software development.
- RAISE Summit15 min
Sara Du, Founder, Asari: MCP & the Future of AI Agents
Speaker, a former Thiel Fellow and founder of the $27 million AI platform Alloy, introduces the Model Context Protocol (MCP) as a dynamic standard adopted by industry giants like OpenAI and Microsoft to replace rigid APIs with non-deterministic software agents. While this protocol enables autonomous LLMs to interpret English descriptions of tools for complex workflows such as CRM automation, its rapid growth has exposed critical security vulnerabilities regarding credential theft and a lack of quality variance in open-source servers. The speaker predicts a future where businesses operate primarily as MCP servers and outlines the urgent need for internal security scans, private registries, and robust evaluation frameworks to manage these emerging multi-agent systems.
- RAISE Summit18 min
Cresta: The Path to 90% Service Automation: Pitfalls, Secrets & Lessons from Enterprise Deployments
Ping Wu, CEO of Cuesta, addresses the unique challenges of automating contact centers by distinguishing private, legacy-bound support data from the public datasets that drove coding automation. His platform deploys a three-part architecture of conversation intelligence, agent assistants, and native AI agents to achieve high task-level automation metrics while maintaining human oversight for complex escalations. This strategy aims to shift customer experience from defensive cost-cutting to an era of abundant, proactive engagement where AI handles 90% of sub-tasks, lowering interaction costs and enabling more frequent customer contact.
- RAISE Summit20 min
Neo4j, Eurazeo Growth: Connected Intelligence Why Graph Technology Is the Missing Link in GenAI
Eurasio Fund identified graph technology as essential for bridging the gap between GenAI prototypes and production environments, a strategy validated by Gartner's finding that knowledge graphs increase success rates by 80%. Major enterprises like Klarna now leverage this approach to eliminate thousands of legacy applications and accelerate processing speeds by 1,000 times, while Neo4j serves as the underlying infrastructure for 84 Fortune 100 companies. The industry further solidified this shift in 2023 when the ISO standardized the Cypher query language as GQL, cementing graph databases as a critical component for explainability and security in complex AI systems.
- RAISE Summit18 min
Richard Wham, Airia: Best Practices for Accelerating Your AI Journey with Secure and Powerful Agents
ARIA, founded by the co-founders of AirWatch and OneTrust, is an AI orchestration platform designed to solve the industry-wide stagnation where 88% of organizations remain stuck in Proof of Concept phases due to security and reliability concerns. The solution utilizes a dual-layer architecture combining a flexible agent-building environment with a guarded central management system to dynamically swap between models, mitigate rapid deprecation cycles, and enforce strict data privacy standards across multi-provider ecosystems. Serving approximately 500 customers, the platform enables enterprises to deploy containerized, compliant AI solutions that ensure resilience against supply chain risks while optimizing for cost and performance in an evolving market.
- RAISE Summit17 min
Stephane Kasriel, Meta Fundamental AI Research (FAIR): Frontier AI From Research to Production
Stephane Kasriel, Stefan, Stephen Beyrer, Romain Guyett
Stefan Beirer leads Meta's Fundamental AI Research division in a $60 billion infrastructure expansion aimed at transitioning AI from academic theory to consumer-scale products through a Bell Labs-style model. This strategy leverages the open-source Llama ecosystem and real-time emotional avatars to drive global adoption while refuting immediate mass displacement fears by citing current hardware limitations. Beirer projects that massive compute investments will drive inference costs down by up to 1,000x within two years, enabling "always-on" devices and accelerating a decade of technological progress comparable to the first industrial revolution.
- RAISE Summit18 min
Ronan Harris (Snap Inc): Bringing AI into the world through augmented reality ft. Bloomberg News
Snap plans to launch new consumer Spectacles next year while leveraging a platform strategy that currently supports 8 billion daily augmented reality lens uses among its 900 million users. The company is differentiating itself from hardware-focused competitors by fostering a developer ecosystem of 400,000 creators and integrating AI partners like Google and OpenAI to drive both ad targeting and third-party experiences. Despite facing stock declines and layoffs, Snap's leadership argues that adopting machine learning and resisting strict age bans are essential for maintaining market relevance against major global competitors.
- RAISE Summit16 min
June Paik (FuriosaAI): Tensor Contraction Processor: NextGen AI Inference Chip for Data Centers
Seoul-based Furiosa AI CEO Jun Paek unveiled the Renegade, a second-generation silicon chip engineered to solve energy bottlenecks in the shift toward frontier agentic model inference. Built on TSMC's 5-nanometer node, this Tensor Contraction Processor delivers 190% superior tokens-per-second-per-watt performance compared to NVIDIA H100 units by optimizing for 1.5 terabytes per second memory bandwidth and 180-watt power consumption. Currently in the sampling phase with global enterprise clients, the chip enables manufacturers and sovereign sectors to own their full AI stack while drastically reducing the capital and operational costs associated with scaling massive data centers.
- The Economist7 min
Mark Carney on dealing with Donald Trump
Mark Carney, Donald Trump, Zanny Minton Beddoes, Prime Minister Carney, Sani
Prime Minister Carney attributes Canada's recent economic stagnation to persistent tariff uncertainty while characterizing U.S. trade policy as a coercive "mafioso" strategy driven by President Trump. In response to this geopolitical rupture, Ottawa is pivoting toward strategic sovereignty by bolstering Arctic defense and cultivating a "variable geometry" of trade alliances to reduce reliance on the American market. This dual approach acknowledges a permanent shift toward high-tariff U.S. protectionism, compelling Canada to prioritize self-sufficiency and diversify global partnerships beyond traditional transatlantic frameworks.
- RAISE Summit18 min
Cohere, Adobe, Teneo: Revolutionizing Enterprise Search with AI. Unlock The Potential of Your Data
Philippe Massoncier, Nick Morales, Abhijit Singh
Adobe and Cohere have formally partnered to integrate Cohere's AI embedding and re-ranking models into Adobe Document Cloud, powering the Acrobat AI Assistant with multilingual and multimodal search capabilities across over 100 languages. This collaboration transforms enterprise search from simple retrieval to intelligent action by unifying fragmented data from systems like Salesforce and SharePoint, while enforcing strict trust pipelines through Retrieval-Augmented Generation to ensure all AI responses are cited to source documents. By offering flexible deployment options including private on-premises infrastructure, the alliance directly addresses critical barriers to enterprise AI adoption such as data silos, security compliance, and the need for context-rich data to enable autonomous AI agents.
- RAISE Summit20 min
Des Traynor, Co-Founder & CSO @ Intercom & Creator of Fin.ai: The Death of SaaS, The Dawn of Agents
Industry leaders identify AI agents as an existential force converging fragmented B2B SaaS workflows, presenting a critical "adapt or die" choice where obsolescence looms for firms unable to deploy robust, job-executing systems within two years. While strategic ambition ranges from efficiency-boosting copilots to full organizational replacements, success hinges on overcoming severe operational hurdles regarding unstructured data, compounding error rates in multi-step chains, and balancing agent agency with strict reliability controls. Although pioneers like Intercom report five-year growth through this paradigm, widespread adoption requires fundamentally rewriting pricing, sales, and validation architectures to bridge the gap between experimental prototypes and production-ready performance.
- RAISE Summit20 min
NYSE, ICONIQ, NFDG/ AI Grant: From SaaS to Superintelligence How AI Is Rewriting Growth Economics
Investors from NFDG and Iconic discuss a private AI market defined by unprecedented valuations for young firms, where aggressive growth expectations now outweigh traditional age-based benchmarks. The dialogue highlights shifting financial mechanics, such as the prevalence of hybrid pricing models and the critical importance of velocity over static data moats in defending against hyperscalers. Looking forward, the speakers identify biology and service-heavy verticals like legal and healthcare as primary arenas for disruption as AI transitions from cloud-enabled tools to native operational infrastructures.
- RAISE Summit20 min
Chris Stephens (Groq) & Judith Gardiner (Equinix): Enabling AI Inference for the European Market
Chris Stephens, Judith Gardiner, Christopher Coleman-
Grok and Equinix have formalized a strategic partnership to deploy AI inference services across Equinix's 270 global data centers, initiating operations in Helsinki with a roadmap for rapid expansion into Southern Europe and Africa. Leveraging specialized 14nm chips that significantly reduce power consumption and Equinix Fabric for low-latency connectivity, the collaboration addresses surging enterprise demand for sovereign cloud solutions and data residency in regulated sectors. This alliance prioritizes speed to market, evidenced by previous 30-day deployment cycles, while integrating sustainability measures such as waste heat recovery and renewable energy sourcing to support the industry's shift toward distributed inference workloads.
- RAISE Summit19 min
Paul Copplestone (SupaBase) & Abel Samot (Commit): Open Source Backend for the AI Age
Paul Copplestone, Abel Samot, DAN GALPIN, FRANCESC CAMPOY, ALEXIS MOUSSINE
Supabase has achieved a $2 billion valuation following a $200 million funding round, driven by a user base that tripled to over 3 million developers and a strategy positioning the open-source platform as a default modern web backend. Founder Paul Copplestone highlights rapid adoption fueled by AI-assisted "vibe coding" tools while the company pursues enterprise growth through "configuration over customization" and upcoming infrastructure breakthroughs like the Multigress sharding solution. Operating as a fully remote organization of 140 specialists, the firm continues scaling by launching Pico instances for zero-to-one applications and recruiting senior talent to support petabyte-scale database capabilities.
- RAISE Summit17 min
Guillaume Verdon, Extropic AI: Thermodynamic Computing and the Energy Efficiency Crisis of AI
Xtropic is addressing the impending AI energy crisis by developing thermodynamic hardware that leverages natural electron fluctuations for probabilistic computation rather than traditional deterministic logic. Founders Trevor and colleagues have successfully miniaturized this technology to room temperature on standard silicon, currently testing chips with hundreds of degrees of freedom that consume attojoules per operation while promising a 100 million-fold efficiency gain over current GPUs. With mass production scheduled for 2025 and early customer deployments targeted for the end of summer, the company aims to disrupt the multi-billion dollar semiconductor market by making energy efficiency the primary driver for scaling future artificial intelligence.