Latest Interviews
Showing 406–420 of 9,621 transcripts.
Clear all filters- 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.
- RAISE Summit19 min
AI Transformation Playbook: Practical Lessons from our AI-First Journey | Make | RAISE Summit 2026
Visual workflow automation scale-up Make transitioned to an AI-first entity over two and a half years by implementing a three-phase strategy that combined a dedicated "Samurai" transformation team with a mandatory quarterly "AI Bar" for all 300 employees. This structured approach increased internal AI agent usage from 16% to 96% and generated 23 successful projects in a single year, achieving a 70% success rate compared to the industry average of 5–10%. The initiative shifted organizational focus from debating adoption to executing context management, resulting in 73% of projects directly impacting core business KPIs across every department.
- RAISE Summit20 min
Infrastructure-as-Prompt: Turning Intent Into Infrastructure | emma | RAISE Summit 2026
emma, Dmitry Panenkov, Dimitri
EMMA, a Luxembourg-headquartered sovereign cloud provider backed by investors including BlackRock, launched its "Infrastructure as Prompt" platform in September to automate cloud management through natural language interfaces. The system functions as a unified control layer that minimizes data egress costs and reduces deployment time to fifteen minutes by selecting optimal compute instances across hyperscalers and on-premises environments. As European sovereign cloud spending remains a small fraction of the global market, EMMA's approach aims to redefine digital sovereignty by shifting control from geographic location to governance and access management while offering a proprietary fleet of accelerators ranging from enterprise to consumer-grade models.
- RAISE Summit20 min
Self-Driving Production: AI Wrote Your Code. AI Should Fix It, Too. | Traversal | RAISE Summit 2026
Founded by an MIT PhD and Columbia professor, Traversal deploys an AI-driven site reliability engineer that distinguishes itself from traditional correlation-based tools by utilizing a proprietary causal search engine to identify root causes across petabytes of daily telemetry. This platform delivers L5 autonomy in production environments, evidenced by enterprise deployments at American Express that reduced incident resolution times by 58% and Pepsi initiatives that preemptively halted customer-facing outages through historical alert analysis. By integrating a unique production world model, the system autonomously executes complex remediation steps such as traffic failover and code generation, effectively transforming maintenance workflows from reactive war rooms to proactive self-healing operations.
- RAISE Summit18 min
Fireside Chat with Anastasis Germanidis, Co-Founder & Co-CEO of Runway | RAISE Summit 2026
Anastasis Germanidis, Grace Isford
Founded in 2019, Runway is pivoting from generative video leadership to creating "world models" that simulate physical physics and 3D consistency through pixel prediction rather than explicit architectural rules. This technical approach enables efficient real-time inference for robotics and gaming, allowing the company to license policy models to clients while achieving superior performance with significantly less compute than larger competitors. Driven by founder Anastasis's philosophy of intentional growth, the firm recently expanded its global headcount to nearly 200 and opened a Paris office to deepen its research focus on physical AI and interactive storytelling.
- RAISE Summit20 min
AI for Work, and Security for AI | ServiceNow | RAISE Summit 2026
Amit Zavery, Yevgeny Dibrov, Jennifer Johnson
As enterprise AI shifts from passive tools to autonomous agents projected to outnumber human assets tenfold, organizations face critical risks of uncontrolled data access and rapid cyber exploitation without centralized governance. To counteract these threats, ServiceNow has integrated Vesa's technology to launch an AI Control Tower, enabling CIOs and CISOs to discover, monitor, and secure non-human identities across all platform integrations. This strategic shift transforms security from reactive to proactive, allowing enterprises to realize billions in efficiency savings while preventing catastrophic breaches in high-stakes environments like retail and supply chain management.
- RAISE Summit20 min
Keynote by Alex Saroyan, Co-Founder & CEO of Netris | RAISE Summit 2026
Following a significant network outage two years ago, Netris deployed automated abstraction technology to manage over 35 AI clusters and nearly one million GPUs globally. The platform addresses the five-layer complexity of modern AI infrastructure by replacing error-prone manual configuration with hardware-enforced multi-tenancy and a unified API. This approach ensures rigorous security isolation while supporting diverse hardware ecosystems from GB300 to Vera Rubin, enabling operators to scale deployments safely without building brittle in-house automation.