Latest Interviews
Showing 46–60 of 304 transcripts.
Clear all filters- 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 Summit21 min
It Takes AI to Break AI: Securing the Agentic Attack Surface | Alice | RAISE Summit 2026
Alice Lead of Product and Engineering Avi Golan explains how enterprises face escalating security and safety risks as AI evolves from static chatbots to autonomous agents with tool-calling capabilities. He details a specialized Agentic AI Red Teaming methodology that moves beyond traditional static scanning to continuously simulate adversarial attacks, ensuring robust threat modeling before production deployment. This approach addresses the unique vulnerabilities of non-deterministic models, such as reasoning manipulation and indirect prompt injection, which have previously led to significant operational failures and legal liabilities across major brands.
- RAISE Summit17 min
Perfect Search, Built for AI Agents | Will Bryk, Exa | RAISE Summit 2026
Exa is rapidly scaling its semantic search infrastructure to power the next generation of AI agents, which are projected to outnumber human web searches within the year. By leveraging deep learning embeddings and a new marketplace for proprietary data, the platform enables precise, low-latency queries that reduce LLM costs while aiming for 99.9999% decision accuracy. This technology drives the company's mission to transition the digital landscape from keyword-based recommendations to "perfect search," targeting the 2028 U.S. presidential election as a pivotal milestone for enhancing societal decision-making.
- RAISE Summit21 min
0 to $250M ARR in 12 Months: Genspark & the Global Knowledge Worker | RAISE Summit 2026
GenSpark, founded by MIT PhD Wen Sang and a team of ex-Google and Microsoft veterans, has scaled to $250 million ARR and 6,000 enterprise clients by transitioning from a product-led search engine to an AI agent orchestrator that automates complex business workflows. The company distinguishes itself by abstracting model complexity through a unified architecture that integrates over 70 underlying AI models, enabling rapid deployment of custom applications and driving efficiency gains such as a fivefold client increase for specific financial consultants. This technology was showcased at a New York Stock Exchange event where CEO Wen Sang detailed the shift from traditional software tools to autonomous agents that augment human creativity while redefining workforce productivity.
- RAISE Summit19 min
Hot Takes & Hard Truths: Building Growth That Compounds | Clay x CapitalG | RAISE Summit 2026
Clay repositions itself as an AI go-to-market platform that transitions sales operations into self-learning revenue engines by integrating third-party data signals to execute scalable growth campaigns. Co-founder Varun leads a strategic shift toward "marketing alpha," utilizing unique tactics like custom film production and rapid, data-driven prospecting to secure high returns on investment for clients such as Canva and Anthropic. The company further distinguishes its value through a new pricing model based on workflow outcomes rather than data tokens, while emphasizing environmental fit in talent acquisition to maximize organizational performance.
- 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.
- RAISE Summit18 min
From Metal to Model: Why Operations Win the AI Infrastructure Race | Mirantis | RAISE Summit 2026
Mirantis is launching Cordoned AI, a metal-to-model platform designed to address the shift toward inference-dominated workloads where hardware commoditization makes operational full-stack ownership the primary competitive advantage. The event highlights how rising failure rates in massive GPU clusters necessitate advanced observability and rigorous process procedures to reduce downtime and control costs. By enabling dynamic management of both CPU and GPU resources through an open architecture, the solution aims to support the diverse latency and throughput requirements of modern AI infrastructure.
- RAISE Summit20 min
Indexing Humanity: A Fireside With the Simulation Company | Simile | RAISE Summit 2026
Joon Sung Park, Sahir Azam, Jun
Simile, founded by former Stanford researchers including CEO Jun, has launched a foundational model of human behavior that replicates individual subpopulations with 85% accuracy for enterprise clients like CVS and Fortune 500 companies. Leveraging strategic partnerships with Gallup and Dynata to access a 20-million-person data panel, the company differentiates itself by prioritizing human imperfections and biases over pure algorithmic efficiency to augment corporate decision-making in market research and product development. Supported by Index Ventures, Simile operates on a four-stage simulation hierarchy ranging from individual dynamic testing to society-wide forecasting, while adhering to strict ethical principles regarding data consent and transparency.
- RAISE Summit19 min
The Token-per-Watt Era: What's Next for AI Hyperscalers | Nebius x Accel | RAISE Summit 2026
Roman Chernin, Philippe Botteri
Nebius, an AI-specialized cloud provider led by Chief Business Officer Roman Tchernin, marks its second anniversary as an independent entity with shares rising tenfold following its IPO. The company targets the projected $11 trillion global investment in AI infrastructure by offering a vertically integrated stack ranging from bare metal for hyperscalers to managed inference for AI-native startups. Nebius anticipates that true enterprise adoption beyond current exceptions like fintech firms remains unrealized and aims to future-proof its platform by shifting pricing models toward billing for solved tasks rather than raw compute hours.
- RAISE Summit20 min
Fireside Chat with Matan Grinberg, Founder & CEO of Factory | RAISE Summit 2026
Founded in 2023 by ex-physics PhD Matan Grinberg, Factory operates as a model-agnostic router that enables enterprises to deploy fully on-premises autonomous software agents directly within existing developer workflows. The company rapidly scaled from ten to ten thousand users within months by offering a cost-effective alternative to vendor lock-in, notably accelerating legacy COBOL migration and allowing sovereign data deployments for regulated industries. Backed by investors including Sequoia and Avant Capital, Factory currently automates both software engineering tasks and emerging non-software productivity use cases while predicting a future dominance of open models over frontier closed ones.
- RAISE Summit18 min
AI Is Only as Fast as Your Slowest Process | Jyoti Bansal, Harness | RAISE Summit 2026
After selling AppDynamics to Cisco for $4 billion, Jyoti Bansal founded Harness in 2017 to resolve the velocity gap between AI-generated code and downstream software delivery bottlenecks. The company implements a risk-based autonomy model to automate testing, security, and compliance, enabling major enterprises like JP Morgan Chase and United Airlines to safely ship software twice as fast. Beyond accelerating release cycles, Harness provides cost management tools that tie AI token expenditure directly to business outcomes while advocating for creativity-focused education to counteract AI-induced homogenization.
- RAISE Summit19 min
From Megawatts to Gigawatts: Building the AI Factories | Lenovo x NVIDIA | RAISE Summit 2026
John Donovan, David Hogan, Roxanne Varza
John of Lenovo and David of NVIDIA are advancing a deep engineering partnership to construct gigawatt-scale "AI factories" that integrate hardware, power infrastructure, and software optimization to address a projected global capacity doubling. Their four-stage deployment framework, which spans from conceptual design to post-launch model orchestration, specifically targets the European market's urgent need to close a 12-month GPU access gap while navigating complex regulatory and energy constraints. By combining Lenovo's global manufacturing scale with NVIDIA's regional expertise, the initiative aims to transform Europe into a sovereign AI hub capable of leveraging unique domain data for next-generation robotics and industrial applications.
- RAISE Summit42 min
2035 Decoded: Navigating the Decade Ahead | Dust, Glean & More | RAISE Summit 2026
Gabriel Hubert, Eve Bodnia, Arvind Jain, Nico Laqua, Raphaelle D'Ornano, Chris Blundell
Projected as a 10-to-15-year strategic journey, the panel outlines how enterprises must prioritize context graphs and data ownership over specific models to navigate the divergence between the 125 projected S&P 500 winners and the majority of firms unable to transition to agentic workflows. While Large Language Models dominate creative tasks, the future architecture will integrate Energy-Based Models for critical reasoning, demanding talent with advanced systems thinking to manage non-deterministic risks in sectors like finance and robotics. Long-term competitive advantage will ultimately accrue to organizations that retain control over system specifications and leverage human oversight to compound value through defensible data moats.
- RAISE Summit18 min
High Performance Compute: Building the Cloud for AI Teams | Erik Bernhardsson | RAISE Summit 2026
Erik Bernhardsson, Hanel Baveja, Eric, Stephanie Wong, Jose Quinonez
Founded by former Spotify executive Eric in the wake of a pandemic sabbatical, Modal addresses the AI infrastructure gap by rebuilding cloud systems from scratch to manage over 20,000 GPUs without relying on Kubernetes or Docker. The company’s usage-based model currently derives roughly 67% of revenue from LLM inference while introducing proprietary tools like AutoEndpoints to automate deployment and enable dynamic performance optimization. Facing a renewed global GPU shortage, Modal plans to expand its network of cloud partnerships and build proprietary data centers to support the industry's shift toward open-source model fine-tuning and real-time audio-video processing.