RAISE Summit
Showing 61–75 of 104 transcripts.
- 19 min
Cloudflare CSO, Stephanie Cohen: The Future of Content & Fair Compensation in the Age of AI
Stephanie Cohen, Matthew Prince
Cloudflare Chief Strategy Officer Stephanie Cohen announces the implementation of "Content Independence Day," a permission-based policy that allows website owners to block or charge AI crawlers for access via new default settings. This initiative seeks to rebalance the relationship between content creators and technology platforms by establishing a market where data-rich sectors, particularly financial services, can monetize their intellectual property directly. While facing industry pushback from competitors who argue against restricting bot access, Cohen contends that shifting to a controlled ecosystem is essential to incentivize high-value content creation and secure a sustainable future for the internet.
- 15 min
Conversation with Daniel Dines, Founder & CEO of UiPath
UiPath is transitioning its 10,000 enterprise clients from traditional RPA to agentic AI by introducing orchestration engines that manage both specialized workflow agents and dynamic master agents within a secure governance framework. CEO Daniel Deneis advises the European market to avoid isolation by verticalizing AI solutions and leveraging defense-industry partnerships to compete against US and Chinese dominance, while urging governments to prioritize aggressive adoption over premature regulation. Supporting this global vision, the company is acquiring vertical startups like Peak to solve distribution challenges and encouraging founders to execute rapidly to dominate specific market spaces.
- 17 min
Snyk CEO, Peter McKay: Building Securely in the AI Era
Snyk has pivoted from its roots as a developer security pioneer to an AI-first organization that launched an AI Trust Platform to secure the exponential growth of code generation vulnerabilities. By integrating guardrails into tools like GitHub Copilot and Cursor, the company leverages its decade of DevSecOps experience to automate vulnerability remediation and protect agentic systems for its 4,500 global customers. Backed by $400 million in cash reserves for strategic acquisitions, Snyk is aggressively executing an "AI SecOps" strategy to shift enterprise security from a reactive model to one where protection is built-in by default for a rapidly expanding universe of non-technical developers.
- 26 min
Groq's CEO: A conversation with Jonathan Ross
Grok is establishing a strategic foothold in Europe with a newly operational Helsinki data center that leverages proprietary SRAM-based LPUs to solve critical compute shortages through air cooling and reduced energy consumption. By combining this hardware with a fully automated compiler and sovereign AI partnerships in Saudi Arabia and Canada, the company differentiates itself with a high-volume, low-margin revenue model optimized for sequential token generation. This approach positions Grok as a complementary force to NVIDIA, targeting the lucrative inference market where its architecture achieves superior latency and efficiency while navigating a regulatory landscape it defines as akin to utility infrastructure.
- 17 min
DDN President, Paul Bloch: AI is the Pivot -- Data is the Power
Paul Bloch, co-founder of DDN, outlined the emerging fifth industrial revolution at the Paris Race Summit, emphasizing that while Nvidia dominates training, the industry is rapidly pivoting toward massive inference farms and sovereign AI infrastructure across Europe. DDN addresses this shift by managing the critical data layer for AI factories scaling to hundreds of thousands of GPUs, with its new Infinia product demonstrating a 22x acceleration in time-to-result and significant cost savings for clients like XAI and Google. As European nations invest billions in data sovereignty and global competitors race to deploy million-GPU clusters, the summit highlighted that human expertise remains essential to stabilize these complex systems while accelerating deployment across healthcare, finance, and energy sectors.
- 23 min
Manus AI Founder, Tao Zhang: Turning Intent into Intelligent Action
Butterfly Effect's co-founder Tao launched Manus AI, an autonomous agent platform designed for non-technical users, following a strategic pivot from the consumer chatbot "Monica." After securing critical infrastructure partnerships with major cloud providers to overcome severe token capacity constraints, the company achieved viral traction with 3.5 million waitlist signups by prioritizing goal-oriented automation over iterative prompting. The product team, led by a fluid executive structure, intentionally simplifies complex model selection to deliver a consumer-grade experience that benchmarks performance against real-world utility rather than public leaderboards.
- 17 min
Windsurf CTO, Alex Laubscher: Engineering at the Speed of Change
Alex Laubscher, Dimitris Bontolos
Windsurf has evolved from an autocomplete tool into an agentic IDE, leveraging a million-user base and strategic partnerships with major enterprises like JPMorgan and Dell to navigate the shift from AI adoption to continuous adaptation. The platform drives efficiency in complex legacy environments by integrating real-time context from tools like Figma and Slack while meeting strict security standards through FedRAMP accreditation and a new Frankfurt data center. Recent deployments, such as the infrastructure case study with Ferrovial, demonstrate how these advanced retrieval capabilities compress development timelines from months to days, reinforcing the company's focus on high-value brownfield modernization over consumer applications.
- 20 min
H Company CEO, Gautier Cloix: Beyond the Hype Leading Agentic AI into the Enterprise
H-Company, founded by former DeepMind employees and led by former Palantir executive CEO, has secured a record €220 million seed round to deploy its "Holo One" computer user agents that operate natively on digital interfaces without predefined APIs. The firm employs a forward-deployed engineer model to rapidly iterate within complex legacy enterprises across Europe and the US, targeting major clients like LVMH and Amazon while prioritizing cost-efficient generalist AI over siloed tools. With the strategic goal of reducing administrative burdens in sectors such as healthcare by shifting doctors' non-clinical time from 70% to near zero, the company plans to onboard key enterprise customers by year-end to refine its platform before global scaling.
- 19 min
Anton Osika (CEO & Founder of Lovable): 0-75M ARR in 7 Months Winning Agentic Coding & Beyond
Lovable, a European-founded AI software builder, has rapidly scaled to 90 million users and 180,000 paying customers within seven months by democratizing application development for non-engineers. The platform distinguishes itself through enterprise adoption for rapid prototyping and high-velocity founder successes, such as a $3 million revenue-generating educational product created in two days, effectively replacing traditional CTO functions. Founder Anton positions this tool as a comprehensive operating system for business lifecycles, driving global market leadership by lowering the technical barriers that previously hindered the "99%" of aspiring creators.
- 27 min
Eric Schmidt & Andrew Feldman: The Race to SuperIntelligence
Cerebras Systems CEO Andrew Gerrandt asserts that the company's Wafer Scale Engine architecture delivers inference performance nearly two orders of magnitude faster than competitors, driving a market shift from training-dominant to inference-heavy workloads. This hardware acceleration, combined with strategic open-source adoption and co-designed software, has compressed industrialization timelines from decades to five years while exposing critical bottlenecks in global energy infrastructure and data sovereignty. As the industry navigates an uncharted S-curve of explosive growth, geopolitical competition and alignment risks now define the trajectory toward autonomous, on-device AI integration.
- 20 min
Eric Schmidt: AI and the Genesis of a New Epoch
Dr. Eric Schmidt characterizes the current technological landscape as a new epoch driven by the imminent arrival of reasoning-based AI, predicting that Artificial General Intelligence and superintelligence will emerge within four to six years. The discussion highlights a geopolitical divergence where the United States pursues capital-intensive closed-source models while China leverages open-weight systems, creating a strategic risk where global usage may outpace Western control. Schmidt concludes that massive infrastructure investment in compute capacity will outlast concerns of a market bubble, as autonomous systems will drive unprecedented growth in mathematics and software development independent of human data constraints.
- 24 min
Venture Capital Investing in AI | RAISE Summit 2024 | Paris
Antoine Blondeau, James Wise, Alexandre Momeni, Dr. Charles Roberts, Nicolas Granatino
Paris has rapidly displaced London as Europe's primary AI hub, yet investors now prioritize product-first founders who solve specific customer ROI problems over high-risk foundational model builders. The strategy is shifting toward securing competitive moats through proprietary data, particularly in biotech where clinical trial scale and regulatory frameworks offer stronger defensibility than internet-hoovered information. Despite Europe's regulatory advantages, the ecosystem faces critical hurdles including a lack of corporate early adoption, a defense tech capital gap, and the need for startups to adopt a bi-continental mindset to overcome high inference costs and impending market saturation.
- 41 min
'GenAI at Scale Measuring Enterprise Outcomes in the AI-First World' | RAISE Summit 2024 | Paris
François Candelon, Yuriy Nevmyvaka, Yannis Daubin, Harry Grieve, Jeremy Harroch, Antoine Courret
Leaders from Morgan Stanley, BCG, Databricks, and emerging tech firms convened to analyze the divergent paths of AI adoption, highlighting that successful enterprise integration depends more on human workflow re-engineering and change management than on technological capabilities. Key insights revealed that while financial services are deploying production-grade models and decentralized compute protocols are lowering costs, the primary barrier remains the lack of mature data platforms and the cultural resistance to blending human creativity with AI efficiency. Ultimately, the panelists agreed that future success will be dictated by navigating strict regulatory landscapes, preserving open-source innovation, and prioritizing sovereign data sovereignty to enable secure, scalable deployment across global industries.
- 31 min
'Enterprise AI Safeguards Defining Safety and Enhancing Trust, Governance in the Age of GenAI' |
Johan Rahl, Philippe Béraud, Sacha Rubel, Sean, Ludwig Perron
Moderated by a focus on synthesizing complex regulations into practical standards, a panel of leaders from France, Singapore, Microsoft, AWS, and Google discussed the necessity of aligning private sector innovation with government oversight to ensure responsible AI development. Participants emphasized that effective governance requires risk-based frameworks and technical feasibility to resolve tensions between open-source transparency and security, ultimately aiming to prevent disinformation, malicious use, and the digital divide while fostering public trust. The consensus highlighted that operationalizing abstract principles like explainability through multistakeholder collaboration is essential to drive investment and widespread adoption of AI technologies.
- 24 min
'AI VCs with more than money' | RAISE Summit 2024 | Paris
Marten Mickos, Bernard Liautaud, Antoine Blondeau
HackerOne CEO Martin Mikos moderated a panel with investors Antoine Blondeau and Bernard Liotto to analyze the chaotic yet transformative nature of the current AI explosion, which Blondeau describes as a "giant accident" that requires a pivot from feature-based startups to full-scale outcome-oriented businesses. Both investors emphasized that while adoption speeds are compressing, successful AI ventures must balance immediate operational agility with five-year strategic planning to leverage high-margin automation and secure leadership teams with a rebellious obsession for quality. The discussion concluded that the sector is rapidly evolving toward hyper-efficient companies generating massive revenue with fewer than 100 employees, warning that only founders who build enduring businesses rather than transient widgets will survive the market's volatility.