Latest Interviews
Showing 76–82 of 82 transcripts.
Clear all filters- 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 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 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.