Latest Interviews
Showing 526–540 of 3,056 transcripts.
Clear all filters- 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.
- RAISE Summit15 min
Lambda, Hugging Face, SemiAnalysis: The Neural Network Is the Computer
The discussion outlines a fundamental shift from traditional programming to "neural software," where generative models act as dynamic interfaces that execute user intent through natural language rather than static code. Key developments in video, audio, and multimodal integration are enabling consistent, real-time content creation while replacing fixed graphical user interfaces with adaptive, semantic environments. This evolution promises to eliminate conventional coding barriers by 2030, though it simultaneously introduces complex challenges regarding state retention and the societal implications of AI-driven interactions.
- RAISE Summit8 min
Jaspar Carmichael-Jack, Co-Founder & CEO, Artisan: How We Generate 1000s of Leads with AI
Jaspar Carmichael-Jack, Jasper
Founded by CEO Jasper in September 2023, Artisan has rapidly scaled to over $6 million in annual recurring revenue as the second-fastest-growing AI startup globally following its Y Combinator Winter '24 graduation. The company distinguishes itself through a controversial "Stop Hiring Humans" marketing campaign that generated over one billion impressions and a proprietary AI agent named Ava, which recently delivered nearly $1 million in ARR from a $20,000 investment by autonomously managing outbound sales cycles. Looking ahead, Artisan is preparing a major Q4 product expansion while refining its strategy to leverage AI-generated content for high-volume marketing, reserving human oversight for SEO and brand-critical communications.
- RAISE Summit23 min
Alex Ratner, CEO & Co-Founder, Snorkel AI: Data Centric AI in the Agentic Era
Alex, co-founder of Snorkel.ai, argues that specialized agentic systems require robust evaluation benchmarks composed of prompt datasets, rubrics, and verifiers to serve as functional product requirements. His company provides data operations platforms to major US banks and federal agencies while demonstrating that custom-trained models using programmatic evaluators can outperform GPT-4 on complex insurance underwriting tasks. This approach establishes high-quality data and verification logic as the foundational prerequisites for optimizing Reinforcement Learning in enterprise environments.
- 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 Summit17 min
Shaun O’Meara, CTO @ Mirantis: All Infrastructure is AI Infrastructure
Addressing critical constraints such as GPU scarcity and the need for unified management of hybrid AI and legacy workloads, Mirantis launched Cordant as an open-source platform designed to deliver composable, multi-cloud infrastructure. The solution utilizes a declarative, pattern-based approach to enable performance contracting and seamless resource orchestration across edge, on-prem, and bare-metal environments. By overlaying open-source management on strategic vendor hardware, the platform aims to eliminate single-vendor lock-in while providing an "AI Factory" reference architecture for accelerated deployment.
- RAISE Summit37 min
OVH Cloud, ClickHouse, Neon, Aiven, Airbyte & Commit: Open Software Infrastructure 2.0
Abel, German, Oskari, Heike, Michel, Alexei, Francois Beaufort
Executives from Aiven, Neon, Airbyte, ClickHouse, and OVHcloud converged to discuss how open-source data platforms are securing $10 billion in combined valuations while addressing enterprise needs for data sovereignty and interoperability. The panel detailed how the AI boom is driving a shift from human-led development to agentic provisioning, creating demand for storage-centric architectures that support short-lived, unstructured data workloads. Looking ahead, industry leaders predict a five-year trajectory where hundreds of millions of citizen developers leverage commoditized AI to compress development cycles, necessitating hybrid infrastructure strategies that balance local model execution with scalable cloud data management.