Latest Interviews
Showing 136–150 of 231 transcripts.
Clear all filters- 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 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.
- RAISE Summit17 min
Anish Agarwal, Traversal: Production Software Keeps Breaking, and It Will Only Get Worse
Founded by MIT PhDs and Citadel alumni, Traversal employs causal machine learning, advanced reasoning models, and agent swarms to automate root cause analysis for large enterprises overwhelmed by AI-generated code complexity. The platform processes petabyte-scale telemetry to distinguish symptoms from causes, delivering proven results such as a 38% reduction in resolution time for DigitalOcean and sub-five-minute identification for a major financial firm. By converging on solutions through agentic MapReduce rather than traditional AIOps, the company aims to automate the full software reliability lifecycle while addressing the growing maintenance burden in modern development workflows.
- RAISE Summit11 min
A Keynote with Guillaume Bonneton, GP Bullhound & Carlos de la Esperanza, Bullhound Capital
Guillaume Bonneton, Carlos de la Esperanza, Carlos Franza
GP Bullhound's 11th annual "Titans of Tech" report defines Europe's current technological renaissance, noting that the continent's unicorn count has nearly tripled since 2020 while total venture capital funding has recovered to $15 billion annually. Despite a stagnation in initial public offerings, the ecosystem is scaling through a surge in larger deals and strategic secondary liquidity rounds, with AI-native companies and dual-use technologies driving the majority of new capital allocation. Looking ahead, the firm projects 50 new unicorns within 24 months, a wave dominated by aggressive hiring and the development of sovereign hardware infrastructure rather than consumer applications.
- RAISE Summit19 min
Nils Pihl, CEO & Co-Founder, AUKI Labs: Teaching Machines to See the World
Speaker forecasts a tenfold global economic expansion within two decades driven by Artificial Intelligence, provided that technology evolves to interact with the physical world rather than remaining limited to digital interfaces. Aukey addresses critical gaps in current positioning infrastructure by developing a decentralized spatial computing protocol and lightweight smart glasses that replace unreliable GPS with user-generated maps, enabling autonomous systems to navigate high-density urban environments. This strategy unlocks significant efficiency gains in sectors like retail by reducing staff travel time and enabling secure, self-hosted data collection for both human and robotic coordination.
- RAISE Summit18 min
Kevin Cochrane, CMO, Vultr: Building the AI-ready Enterprise, Modernizing Your Cloud Infrastructure
Vulture CMO Kevin Cochran outlines a strategic shift from the Kubernetes era to a new decade of production-scale agentic AI, driven by survey data indicating that 2,000 global decision-makers prioritize centralized governance and open ecosystems to avoid vendor lock-in. The company addresses these needs through its hybrid cloud platform, which unifies CPU and GPU resources in 32 regions to enable secure, sovereign infrastructure that prevents data from leaving controlled environments while supporting specialized verticals like healthcare and manufacturing. This approach positions Vulture as a distinct public cloud contender capable of transforming experimental AI initiatives into scalable, compliant production architectures.
- RAISE Summit13 min
Steve Lucas, CEO & Chairman, Boomi: The Next Era of Enterprise Leadership Transformation & Trust
Steve Lucas, Chairman and CEO of Boomi, outlines the industry shift from deterministic digital transformation to "agentic transformation," where AI-driven systems dynamically learn and adapt alongside human workforces. Backed by McKinsey's projection of $15 trillion in new AI value over five years, Boomi has launched an agentic platform serving 24,000 customers while internally reducing support costs by 75% through a strategy that prioritizes automating mundane processes and building an "Agent Control Tower" for governance. Lucas emphasizes that successful adoption relies on high-quality data, bottom-up innovation, and aligning organizational change speeds with the critical "speed of trust" required for reliable human-AI collaboration.
- RAISE Summit37 min
Arm, PsiQuantum, Intel, NextSilicon, Lightspeed: Moore’s Law vs AI’s Appetite The Compute Collision
Jean-Anne Philippe, Will Abbey, Elad, Pete Chabot
Intel's Jean-Luc Philippe, ARM's Will Abbey, and experts from Next Silicon and PsiQuantum convened to analyze the shift from traditional transistor scaling toward software-hardware co-design and heterogeneous computing architectures. The discussion highlighted critical advancements in quantum error correction and RISC-V integration while emphasizing that future AI infrastructure requires billions in capital to support hybrid edge-cloud systems and post-quantum cryptography. Industry leaders concluded that the end of Moore's Law necessitates fundamental architectural innovation over brute-force scaling, with a consensus that value is forged through massive, power-intensive supercomputing deployments rather than isolated component optimization.
- RAISE Summit21 min
Poolside AI, IREN, Forbes: From 10x to 100x Building AI Systems for Real World Scale
Emma Allen, Dennis Skriniop, Isa Kent
Dennis Skriniop of Iron and Isa Kent of Poolside discuss the critical infrastructure and energy requirements for scaling foundation models toward human-level intelligence. Kent outlines Poolside's $500 million investment in automating a "model factory" that executes 1,800 monthly experiments, emphasizing that 80% of success relies on distributed systems engineering rather than algorithmic discovery. Skriniop and Kent further analyze the necessity of hybrid power grids, disaggregated storage architectures, and the emerging role of specialized "Neo-Clouds" to address the exponential complexity of operating clusters exceeding 10,000 GPUs.
- RAISE Summit18 min
Dr. Walden C. Rhines, Cornami: Scalable Secure AI Deploying LLMs with Fully Homomorphic Encryption
Facing the impending threat of quantum computers breaking current encryption, Kornami deploys its TrueStream software and hardware architecture to make Fully Homomorphic Encryption practical by eliminating the computational bottlenecks that traditionally limit its use. Their "sea of cores" system delivers banking security benchmarks in seconds rather than days and achieves performance levels orders of magnitude more efficient than NVIDIA H100s for AI and blockchain workloads. With beta units scheduled for deployment this quarter and volume production targeted for late this year, the company aims to resolve global power constraints while enabling secure data monetization and privacy compliance without exposing raw information.
- RAISE Summit22 min
Lin Qiao, Co-Founder & CEO, Fireworks AI: Open Models: The future of AI agent development
Fireworks CEO Lin positions 2025 as a pivotal year for AI agents, highlighting the platform's deployment for major enterprises like Cursor, Uber, and UiPath through a unique "data flying wheel" strategy that aligns model distributions with proprietary product data. The service scales 5 trillion tokens daily across 1,000 models while utilizing multilora compression and reinforcement fine-tuning to achieve up to 15x performance gains in coding and research tasks. By offering enterprise-grade security and bringing custom models to production with 100x faster iteration speeds, Fireworks enables organizations to transform AI from a utility into a core intellectual property asset.
- RAISE Summit17 min
Adrian Blair, CEO & Co-Founder, TrustPilot: Winning Customers. Trust in the Age of AI
Trustpilot CEO Adrian Blair outlines a strategic pivot where the company deploys its "Trust Layer" API to inject 350 million verified human experiences into autonomous AI systems, addressing a crisis where over half of Americans currently reject AI decision-making due to opacity. This infrastructure combats unreliable frontier models by ingesting structured feedback data while utilizing AI-driven fraud detection that removed 4.5 million reviews in 2024 to ensure content integrity. The platform aims to guide "agentic" AI in executing real-world actions like financial transactions with cultural nuance, thereby shifting the technology from passive chat interfaces to trusted, action-oriented tools.
- RAISE Summit40 min
WEKA, Intel, Graphite, InstaDeep & AWS: Scaling Without Crashing. AI Framework for Enterprise Growth
Eduardo, Mary, Damien, Val, Karim, Murray, Fula Ousmane
The event details the industry shift from experimental AI in 2023 to the scaling of autonomous agents in 2024-2025, driven by urgent economic pressures that are forcing a 75% reduction in cached input pricing. Industry leaders outline a strategic framework prioritizing top-level governance and data transparency to mitigate security risks while navigating a market where compute cost competitiveness will determine the survival of AGI-era businesses. Specific sector applications, ranging from diagnostic health agents to AI-driven code review systems, illustrate how organizations must integrate these tools as central transformation enablers rather than isolated initiatives.
- RAISE Summit15 min
A Fireside Chat with Nicolas Dessaigne (YC-Combinator) & Jean de la Rochebrochard (Kima Ventures)
Nicolas Dessaigne, Jean de la Rochebrochard, Nicolas Tassin
Kima Ventures' Jean de la Rochebrard and Y Combinator partner Nicolas Tassin discussed their investment strategies, emphasizing that AI has shifted from a distinct category to a de facto standard comparable to cloud computing. The investors outlined distinct regional dynamics, noting that US founders leverage superior risk tolerance and speed while European entrepreneurs must overcome cultural humility to access the capital pools required for billion-dollar growth. They concluded that future market leaders will likely emerge in vertical applications within "boring" industries rather than horizontal platforms, provided founders prioritize authentic execution over hype and build defensible data moats.
- RAISE Summit22 min
Inception Fund & AI: From Inception to Exit Building AI Giants from Europe and the Nordics
Former professor Peter Sarlin founded the private AI lab Silo AI in 2017 and led the bootstrapped company to a $700 million exit when acquired by AMD in 2022, establishing the largest pure-play AI acquisition in Europe. Sarlin attributes this success to a contrarian philosophy that prioritized functional machine learning over hype while hiring primarily from academia, resulting in a workforce of over 220 AI scientists before the strategic sale. Beyond this specific case study, Sarlin highlights that the fragmentation of the European single market remains the primary barrier preventing regional startups from scaling into trillion-dollar enterprises, forcing founders to adopt a global-first strategy despite Europe's strengths in industrial AI applications.