Latest Interviews
Showing 91–104 of 104 transcripts.
Clear all filters- RAISE Summit39 min
Navigating the New Era: Designing AI strategies for Competitive Edge | RAISE Summit 2024 | Paris
Moody Mahmoodi, Julie Hardy, Emmanuel Vivier, Nicole, Bogdan
Julie Hardy, Emmanuel Vivier, Nicole, and Bogdan convened to analyze how B2B enterprises can secure competitive advantages by shifting from generic LLMs to proprietary "brain brands" built on clean data and domain-specific expertise. The panelists emphasized that future success relies on the "Dual PhD" model, where deep industry knowledge combines with technical skills to automate entire critical workflows rather than isolated tasks. Looking ahead, the experts predict a market dominated by verticalized AI solutions and multimodal content generation, provided organizations overcome adoption barriers like talent shortages and regulatory uncertainty through structured change management.
- RAISE Summit14 min
'The Future of Software With GenAI' by Marek Kalnik, Group Partner Theodo | RAISE Summit 2024
Industry leaders and enterprise innovators are rapidly integrating generative AI tools like GitHub Copilot and autonomous agents into software production, with over one million paid licenses and near-universal developer exposure driving a shift from simple automation to system-wide architectural redesign. As AI capabilities mature to solve 13–14% of real-world tasks autonomously and achieve high correctness on coding benchmarks, organizations are evolving from "co-pilot" models toward two-tiered structures where machines handle execution while humans focus on high-level design, quality assurance, and security-sensitive asset creation. This transformation promises to redefine team roles, reduce development costs, and enable new business models centered on personalized software and legacy system maintenance.
- RAISE Summit8 min
Keynote by Wes Cummins, CEO and Co-Founder of Applied Digital | RAISE Summit 2024 | Paris
Applied Digital CEO Wes Cummings outlined the company's strategic pivot from blockchain mining to purpose-built, high-power-density data centers located near renewable energy generation to address the critical power scarcity driving AI expansion. By co-locating liquid-cooled facilities with wind farms and utilizing curtailed energy, the firm aims to deliver over 400 megawatts of capacity while serving early enterprise customers like Character AI. This infrastructure shift responds to a market bottleneck where forecasts predict US data center power needs could quadruple by 2030, far exceeding historical construction rates.
- RAISE Summit33 min
Transforming Healthcare: Unleashing GenAI's Potential Across Medical Frontiers | RAISE Summit 2024
Hakima Berdouz, Christian Allouche, Clément Stippel, Charles Roberts
Founders from Hope Valley AI, Glimmer, DeepSyn, and OKI alongside ARK Invest's Charles Roberts discussed how generative AI is transitioning healthcare from theoretical promise to tangible tools that accelerate drug discovery, reduce radiology errors by up to 50%, and democratize access to mobile imaging for five billion people. The panel highlighted critical industry challenges, including regulatory bottlenecks under the EU AI Act, the necessity of human oversight to maintain patient trust, and the urgent need for diverse development teams to mitigate algorithmic bias in clinical outcomes. Ultimately, the session framed the sector's future around "causal discovery" in biology and the deployment of audited, explainable AI systems that serve as co-pilots rather than replacements for medical professionals.
- RAISE Summit40 min
Responsible AI Activation: Governance AI | RAISE Summit 2024 | Paris
Teos, Nicole Butna, Shyam Nagarajan, Rinald Manohar
Moderated by INSEAD professor Theos, a panel of AI strategy experts Nicole Butna, IBM consultant Shyam Nagarajan, and blockchain specialist Rinald Manohar identified critical risks such as human dependency on automation, data poisoning, and the potential for un-audited systems to mirror financial crises. The discussion established a consensus that effective AI governance must evolve from reactive compliance to proactive "ethics by design," requiring board-level oversight and multi-party accountability to manage self-evolving models and synthetic data feedback loops. To bridge the current maturity gap and regulatory skepticism, the panel advocated for treating AI governance as essential infrastructure comparable to financial auditing, emphasizing shared global values and cost-effective tamper-proof auditability to foster industry trust.
- RAISE Summit41 min
Architects of Transformation: Foundational Models in Generative AI | RAISE Summit 2024 | Paris
Daphné Leprince-Ringuet, Pablo, Milos, Nan, Marco, Artur Polis
Moderated by Daphné Leprince-Ringuet, the "Architects of Transformation" panel featured experts from Rave, DeepSets, Gena, and Defector to analyze the critical disconnect between enterprise expectations for deterministic AI and the stochastic reality of foundational models. The discussion highlighted that while companies like Defector have successfully deployed AI agents to double financing origination, widespread adoption remains hindered by legal concerns over training data, the high cost of production-grade infrastructure, and a severe talent mismatch between research engineers and product-focused builders. Participants concluded that the industry is shifting toward licensed, IP-safe "walled gardens" and emphasized that future success depends on integrating AI as a controlled operational component rather than a standalone feature.
- RAISE Summit40 min
AI Unleashed : Navigating the Future with Next Gen Applications | RAISE Summit 2024 | Paris
Tamara Brisk, Nicolas Guillon, Sixt, Jean-Paul, Francois Chollette, Arthur Kleinmann
At the RAISE Summit's "AI Unleashed" panel, industry leaders from Animage, X-Plane, and L'Oréal detailed the critical transition from generic generative AI tools to specialized, agentic applications capable of handling high-stakes industrial workflows. The discussion highlighted that while early models struggle with niche data and latency, second-generation systems must leverage proprietary datasets and human-in-the-loop verification to automate complex tasks such as public tender responses and personalized beauty diagnostics. Participants concluded that successful commercial adoption requires overcoming significant barriers including production costs, hallucination management, and workforce cultural resistance to redefine media creation and corporate efficiency.
- RAISE Summit31 min
Venture Capital: Investing in AI | RAISE Summit 2024 | Paris
Arnaud Barthélémy, Kay, Adrian, Anand
Moderated by Arnaud Barthélémy of Alpha Intelligence Capital, a panel of investors including Adrian from Merantix and Anand from Canonical analyzed divergent strategies within the AI ecosystem, with Merantix prioritizing value capture at the application layer and Canonical focusing on foundational infrastructure. The discussion highlighted that while US markets drive high-risk capital velocity, European investors are leveraging deep technical talent to disrupt heavily regulated sectors like healthcare and legal through data-driven models powered by community-sourced scientific analysis. As the market remains in a price discovery phase with zero-revenue valuations, panelists anticipate a rapid transition where AI applications evolve from novel tools into essential utilities and autonomous agents begin interacting to accelerate capital allocation.
- RAISE Summit18 min
Why the most demanding companies entrust their AI to OCI & NVIDA
NVIDIA and Oracle announced the upcoming arrival of the Blackwell GPU architecture and the GB200 rack-scale system on Oracle Cloud Infrastructure next year, delivering training speeds four times faster than the Hopper generation while introducing the versatile L40S chip by June. To support massive-scale AI workloads, OCI leverages a high-performance interconnect architecture that matches InfiniBand speeds with a 20-40% cost advantage and now hosts enterprise clients like Microsoft for Bing inference. The strategic partnership further expands into sovereign cloud regions in Frankfurt and Madrid to address data privacy concerns, while combining Oracle Database 23c with NVIDIA Inference Microservices to create an end-to-end pipeline for RAG-enabled AI deployment.
- RAISE Summit11 min
Machine Unlearning: Making AI Forget | RAISE Summit 2024 | Paris
Hirundo addresses the critical compliance gap identified by Stanford research, where 83% of foundational models violate the EU AI Act by trapping irreversible personal data and sensitive information. The company offers a neuro-surgical unlearning platform that enables engineers and compliance officers to selectively erase specific data from trained models in minutes, achieving 95% efficiency gains over traditional retraining. Backed by Alpha Intelligence Capital and led by a team including the former Dean of Computer Science at the Technion, Hirundo positions selective unlearning as the essential standard for navigating global data privacy regulations without sacrificing model performance.
- RAISE Summit23 min
Production Ready RAG | RAISE Summit 2024 | Paris
David Leconte, a Solution Engineer at DataStax, outlines a strategy to bridge the gap between experimental RAG prototypes and production deployment by introducing a curated solution stack. This approach combines the new RackStack library management tool, the high-performance AstraDB vector database, and the Longflow workflow engine to address critical stability, compliance, and integration challenges faced by major enterprises. By offering verified packages, 10-millisecond latency, and automated support, the platform enables organizations to safely scale generative AI applications in regulated sectors without the risks associated with fragmented open-source frameworks.
- RAISE Summit22 min
The Collapse of the Human Empire: Reflexions from the AGI | RAISE Summit 2024 | Paris
Laurent Alexandre, Charles-Edouard Boué
Laurent Alexandre and Charles-Edouard Boué predict that the current AI investment bubble, driven by unsustainable unit economics, will collapse within eighteen months to trigger a new era of techno-politics and aggressive regulation. The discussion highlights critical barriers to Artificial General Intelligence, including the physical limitations of moving from 2D to 3D environments, entropy management challenges, and the paradox where human-AI collaboration yields lower diagnostic accuracy than AI alone. Ultimately, the speakers argue that the future dominance of machines may lead to a "machine aristocracy," yet the primary risk to human civilization stems from internal societal failures like elite corruption rather than inherent machine hostility.
- RAISE Summit23 min
'Future of Search in the Age of AI' Perplexity CEO, Aravind Srinivas | RAISE Summit 2024 | Paris
Perplexity AI CEO Aravind Srinivas and his team have launched an answer engine that replaces traditional search link lists with sourced, direct responses to bypass the advertising incentives misaligning Google with user utility. Leveraging a model-agnostic orchestration architecture and a founding team spanning research and competitive programming, the platform prioritizes factual accuracy and source verification over open-ended creativity to minimize AI hallucinations. While currently operating on lower margins than incumbent search giants, the company aims to establish a new consumer-aligned monetization framework that transforms the web from a collection of links into a verified knowledge infrastructure.
- RAISE Summit38 min
Chamath Palihapitiya & Groq CEO Jonathan Ross | RAISE Summit 2024 | Paris
Chamath Palihapitiya, Jonathan Ross, Olivier Ollier
Grok CEO Jonathan Ross, a former Google TPU architect, presents a strategic shift in the AI industry where hardware-focused inference is poised to surpass training as the dominant market force. Leveraging proprietary Low Precision Units and an alternative supply chain strategy, the company has attracted 75,000 developers in just 30 days and secured a massive compute partnership with Aramco Digital to challenge NVIDIA's infrastructure monopoly. With projections to deploy 1.5 million LPUs by next year, Grok aims to redefine AI deployment costs and latency standards while positioning non-tech enterprises as primary consumers of global compute capacity.