Latest Interviews
Showing 481–495 of 3,000 transcripts.
Clear all filters- RAISE Summit18 min
A Chat with AI21 Labs: Building Custom AI Systems That Actually Work From Hype to Business Impact
AI21, a foundational LLM builder, highlights the persistent gap between individual AI experimentation and institutional production adoption, driven by "ChatGPT Syndrome" and fear of missing out. The company identifies a critical "underground movement" where employees innovate silently due to a lack of official guidelines, resulting in disjointed pilots and missed collective wisdom. To escape this paralysis, successful deployment requires multidisciplinary teams to map granular workflows and align stakeholders on clear KPIs, transforming informal usage into a structured, high-value organizational framework.
- RAISE Summit20 min
Roshn Group & Enhance Ventures: AI Meets Real Estate: Hype or Real Value
Robert, Yazeed Al-Ghamdi, Aristide, Maria Paula
Saudi Arabia's Roshan giga-project, mandated to deliver 400,000 housing units under Vision 2030, is leveraging Google Cloud AI and a proprietary digital sales platform to generate over 6 billion SAR in revenue while reducing land selection time by 40%. This hybrid transaction model, which integrates global KYC protocols and visualizes amenities for remote buyers, was further accelerated by the region's largest PropTech hackathon that sourced external solutions for operational bottlenecks. Driven by a young demographic and supported by upcoming infrastructure projects, the organization plans to launch a corporate venture capital arm and export its technology stack to international markets within the decade.
- RAISE Summit13 min
Serge Palaric, NVIDIA & Antoine Vaissié, Google Cloud: Better together
Serge Palaric, Antoine Vaissié, Serge Lachapelle
Google Cloud and NVIDIA have deepened their strategic partnership to deploy enterprise-scale AI, becoming the first provider to offer Blackwell architecture GPUs including the B200, GB200, and G4 instances for immediate production use. This collaboration integrates NVIDIA AI Enterprise software and NIM inference microservices with Google's infrastructure to support evolving post-training and agentic AI workloads across healthcare, finance, and industrial sectors. By combining these technologies with confidential computing options and joint engineering efforts, the alliance enables organizations to accelerate secure AI deployment while reducing operational risks and addressing specific industry workflows.
- RAISE Summit19 min
A Fireside Chat with Himanshu Tyagi, CEO & Co-Founder of Sentient Foundation ft. FINOS
Co-founded by academic Iman Shutyagi, the Sentient Foundation advocates for a blockchain-enabled "creator economy" that allows open-source AI contributors to tokenize and monetize high-value assets like data and hyperparameters. The organization promotes open auditing and red teaming as primary safety mechanisms while predicting that global AI advancement will depend on a decentralized baseline rather than closed models or rigid regulatory thresholds. By targeting digital-native developers and utilizing decentralized compute, the initiative aims to sustain a competitive, open-source ecosystem where software contributions yield long-term financial value alongside technological progress.
- RAISE Summit17 min
A Keynote with Richard Rizk, & IRobert Rizk, BLACKBOX.AI
Co-founded by Robert and Richard Co, Blackbox has scaled its autonomous coding agent platform to over 20 million users, securing the top rank among code-related AI startups on Andreessen Horowitz's 2024 adoption list. The system distinguishes itself through features like Figma-to-code conversion, voice-enabled remote execution, and a "Robocoder" module that resolves GitHub issues asynchronously within isolated secure environments. While integrating with over 35 IDEs and offering unified model access, the company emphasizes a human-in-the-loop philosophy to augment developer productivity rather than replace engineers.
- RAISE Summit40 min
The Efficiency Enigma: Can Smarter Software Save Us from Hardware Bottlenecks
Paul Moscovitch, Jean-Laurent, Stefan, Craig Tavares, Romain Guyett, Jared, Bob
Industry leaders report that Moore's Law persists through advanced silicon technologies, yet the AI sector faces a critical shift from raw compute scarcity to bottlenecks in memory bandwidth and power efficiency. As data centers transition from training-heavy operations to a 50-50, and eventually 80-20, split favoring inference, organizations are adopting hybrid strategies that pair expensive GPU clusters for training with CPU-based solutions for latency-sensitive edge tasks. Strategic guidance now emphasizes aligning hardware selection with specific workloads while prioritizing novel application development over premature cost optimization.
- RAISE Summit20 min
Contentsquare & Eurazeo: From Data Rich to AI Smart Reinventing a Scale Up in Real Time
Anne-Charlotte Filbert, Ilan, Remy
Eurazeo's Anne-Charlotte Filbert and Content Square's Ilan analyzed the latter's strategic pivot from a traditional analytics provider to an AI-native platform following a 2023 acquisition of Heap. Driven by CEO John, the company restructured its organizational culture and product roadmap to prioritize agentic workflows, launching proactive "Sense" insights while implementing strict security protocols for tools like Gemini and Dust. The discussion concluded that future market survival hinges on the "velocity" of leadership to transform late-stage enterprises, contrasting Content Square's scale with the agility required for AI-native success.
- RAISE Summit20 min
A Keynote by Thomas Sohmers, Co Founder & CTO of Positron
Positron AI, a startup founded in 2023, is deploying specialized hardware to address the inference bottleneck that now drives global GDP growth and limits traditional GPU efficiency for Transformer models. Their Atlas server and upcoming Titan system prioritize massive memory bandwidth over raw compute, delivering 70% higher throughput per dollar while operating at 150 watts to eliminate the need for liquid cooling. By enabling concurrent execution of multiple models up to 512 billion parameters on standard air-cooled infrastructure, the company aims to drastically reduce AI operating costs and reshape the economic landscape of software development.
- RAISE Summit42 min
Merantix, BlueBridge, NEXT AI & Balderton: Moats in the Age of AI Separating Winners from Wannabes
Solène, Nicole, Moody, Max, Breeze, Lina, Bianca
Solène of Baldur Capital moderated a panel with industry leaders from Bluebridge, Mirantics, and Next.ai to dissect the evolving nature of AI competitive advantages as unstructured data becomes automated and model volatility increases. The discussion highlighted that sustainable moats now rely on human engineering, complex legacy system integration, and strong distribution networks rather than proprietary data or static wrappers. Participants emphasized that investor success signals center on team tenacity and founder vision, urging founders to prioritize solving tangible, high-stakes problems over theoretical defensibility strategies.
- RAISE Summit26 min
Adrian McDermott, CTO, Zendesk: What CX Teaches Us About AI And The Future Of Work
During a presentation on enterprise AI transformation, Zendesk representatives detailed how their platform now supports 15,000 generative AI users and redefines customer service as a critical revenue engine where 94% of value derives from support interactions. The company outlined a strategic shift toward outcome-based pricing and the development of voice-enabled agents, aiming to reduce the customer service market's dependence on human labor by the end of the decade. Data from 33 million analyzed tickets suggests that AI will primarily address upstream business failures and low-value queries, allowing human agents to focus on high-empathy tasks that prevent churn.
- RAISE Summit15 min
Sara Du, Founder, Asari: MCP & the Future of AI Agents
Speaker, a former Thiel Fellow and founder of the $27 million AI platform Alloy, introduces the Model Context Protocol (MCP) as a dynamic standard adopted by industry giants like OpenAI and Microsoft to replace rigid APIs with non-deterministic software agents. While this protocol enables autonomous LLMs to interpret English descriptions of tools for complex workflows such as CRM automation, its rapid growth has exposed critical security vulnerabilities regarding credential theft and a lack of quality variance in open-source servers. The speaker predicts a future where businesses operate primarily as MCP servers and outlines the urgent need for internal security scans, private registries, and robust evaluation frameworks to manage these emerging multi-agent systems.
- RAISE Summit18 min
Cresta: The Path to 90% Service Automation: Pitfalls, Secrets & Lessons from Enterprise Deployments
Ping Wu, CEO of Cuesta, addresses the unique challenges of automating contact centers by distinguishing private, legacy-bound support data from the public datasets that drove coding automation. His platform deploys a three-part architecture of conversation intelligence, agent assistants, and native AI agents to achieve high task-level automation metrics while maintaining human oversight for complex escalations. This strategy aims to shift customer experience from defensive cost-cutting to an era of abundant, proactive engagement where AI handles 90% of sub-tasks, lowering interaction costs and enabling more frequent customer contact.
- RAISE Summit20 min
Neo4j, Eurazeo Growth: Connected Intelligence Why Graph Technology Is the Missing Link in GenAI
Eurasio Fund identified graph technology as essential for bridging the gap between GenAI prototypes and production environments, a strategy validated by Gartner's finding that knowledge graphs increase success rates by 80%. Major enterprises like Klarna now leverage this approach to eliminate thousands of legacy applications and accelerate processing speeds by 1,000 times, while Neo4j serves as the underlying infrastructure for 84 Fortune 100 companies. The industry further solidified this shift in 2023 when the ISO standardized the Cypher query language as GQL, cementing graph databases as a critical component for explainability and security in complex AI systems.
- RAISE Summit18 min
Richard Wham, Airia: Best Practices for Accelerating Your AI Journey with Secure and Powerful Agents
ARIA, founded by the co-founders of AirWatch and OneTrust, is an AI orchestration platform designed to solve the industry-wide stagnation where 88% of organizations remain stuck in Proof of Concept phases due to security and reliability concerns. The solution utilizes a dual-layer architecture combining a flexible agent-building environment with a guarded central management system to dynamically swap between models, mitigate rapid deprecation cycles, and enforce strict data privacy standards across multi-provider ecosystems. Serving approximately 500 customers, the platform enables enterprises to deploy containerized, compliant AI solutions that ensure resilience against supply chain risks while optimizing for cost and performance in an evolving market.
- RAISE Summit40 min
Softbank, Gen Z VCs, Adagia, F5, Cathay & Samsung NEXT: AI Investment Frenzy The 2001 Remake!
Megan Loyst, Ahmed Getarim, Denis, Chardin Boué, Jonathan Machado, Alok
A diverse panel of investors from GenZBCs, F5, CATA Innovation, Adagia, and Samsung Next, alongside buyer representative Ahmed Getarim, evaluates the current tension between a genuine AI utility revolution and inflated private market valuations. Participants warn of a "hype bubble" where rapid revenue growth in Gen AI clashes with unsustainable unit economics, predicting that 50% of current unicorns will fail while successful ventures rely on proprietary data, vertical integration, and network effects rather than just funding. The group concludes that future viability requires balancing technological acceleration with labor market stability and emphasizes "service as software" as the emerging model for long-term defensibility.