RAISE Summit
Showing 166–180 of 303 transcripts.
- 26 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.
- 15 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.
- 18 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.
- 20 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.
- 18 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.
- 40 min
Kong, Commit, Deepset, Strapi, LiveKit & FINOS: The OSS Paradox Free Software, Priceless Value
Olivier, Russ, Alessandro, Milos, Pierre, Reza Shafi, Gabriel
Four open source founders and an investor discuss strategic monetization models for real-time video, AI frameworks, CMS, and API gateways, focusing on the tension between community health and commercial scaling. The panel contrasts open core and managed service approaches against license changes, arguing that distribution and deployment rather than feature gating are superior mechanisms for generating revenue without alienating users. Key insights emphasize aligning licensing with product type to mitigate cloud provider threats and the importance of investor-founder alignment to preserve long-term community trust.
- 17 min
Stephane Kasriel, Meta Fundamental AI Research (FAIR): Frontier AI From Research to Production
Stephane Kasriel, Stefan, Stephen Beyrer, Romain Guyett
Stefan Beirer leads Meta's Fundamental AI Research division in a $60 billion infrastructure expansion aimed at transitioning AI from academic theory to consumer-scale products through a Bell Labs-style model. This strategy leverages the open-source Llama ecosystem and real-time emotional avatars to drive global adoption while refuting immediate mass displacement fears by citing current hardware limitations. Beirer projects that massive compute investments will drive inference costs down by up to 1,000x within two years, enabling "always-on" devices and accelerating a decade of technological progress comparable to the first industrial revolution.
- 18 min
Ronan Harris (Snap Inc): Bringing AI into the world through augmented reality ft. Bloomberg News
Snap plans to launch new consumer Spectacles next year while leveraging a platform strategy that currently supports 8 billion daily augmented reality lens uses among its 900 million users. The company is differentiating itself from hardware-focused competitors by fostering a developer ecosystem of 400,000 creators and integrating AI partners like Google and OpenAI to drive both ad targeting and third-party experiences. Despite facing stock declines and layoffs, Snap's leadership argues that adopting machine learning and resisting strict age bans are essential for maintaining market relevance against major global competitors.
- 40 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.
- 40 min
Windsurf, BUZZ HPC, Gnosis, ElevenLabs, Prosus & Bloomberg: The Agentic Economy AI’s Unseen Hand
Rachel Metz, Tim Cowley, Jero, Alex, Matty, Maria Zuber, Matias Niemelaer, Andrzej Baliczak
A diverse panel of industry leaders from BuzzHPC, Prozus, Windsurf, and 11 Labs defined AI agents as autonomous systems requiring multi-modal feedback loops to drive enterprise adoption. Real-world deployments at companies like DHL and Prozus have demonstrated significant operational gains, including 20% faster delivery times and a 1.7 million-hour productivity increase, while OpenAI's $3 billion acquisition of Windsurf validates the technology's strategic value in software engineering. Despite hurdles regarding data disambiguation and regulatory compliance, the panel predicts a shift toward a task-based internet where agents outperform human operators in efficiency and revenue generation.
- 41 min
Balderton, Altimeter, TVG, Coatue, Alpha & Harmonic: Investment in AI Who Gets Funded and Why
Max, Avid, Antoine, Apoorv, Maliki, Bernard
A recent analysis reveals that generative AI revenue is currently dominated by semiconductor giants like NVIDIA, creating an inverted economic pyramid where early startups face massive infrastructure costs and power grid bottlenecks. Venture capital strategies are shifting toward large, high-conviction checks focused on deep infrastructure and energy assets, while successful founders must combine deep domain expertise with technical literacy to navigate complex enterprise adoption. Despite these challenges, high-velocity "AI-first" companies like Higgsfield and Lovable are achieving rapid scale and superior margins by leveraging internal AI efficiency before productizing their services.
- 16 min
June Paik (FuriosaAI): Tensor Contraction Processor: NextGen AI Inference Chip for Data Centers
Seoul-based Furiosa AI CEO Jun Paek unveiled the Renegade, a second-generation silicon chip engineered to solve energy bottlenecks in the shift toward frontier agentic model inference. Built on TSMC's 5-nanometer node, this Tensor Contraction Processor delivers 190% superior tokens-per-second-per-watt performance compared to NVIDIA H100 units by optimizing for 1.5 terabytes per second memory bandwidth and 180-watt power consumption. Currently in the sampling phase with global enterprise clients, the chip enables manufacturers and sovereign sectors to own their full AI stack while drastically reducing the capital and operational costs associated with scaling massive data centers.
- 20 min
A Frieside chat with Rafay & BUZZ HPC: Sovereign AI in Action From Infrastructure to Impact
Rafay, BUZZ HPC, Haseeb, Craig
BuzzHPC positions itself as a sovereign AI provider for Canadian enterprises by operating an integrated stack across Sweden and Canada that delivers over 135,000 GPUs while ensuring strict data residency and compliance with regulations like the U.S. Cloud Act. By transitioning from declining bare metal margins to value-added model-as-a-service offerings, the platform achieves revenue per H100 of $3.50 to $5.00 through self-service consumption, multi-tenancy, and enterprise-grade SLAs. This approach satisfies modern developer expectations by offering granular isolation from single units to 1,000+ GPU clusters, enabling efficient end-to-end project hosting without the friction of data movement between hyperscalers and domestic clouds.
- 18 min
Cohere, Adobe, Teneo: Revolutionizing Enterprise Search with AI. Unlock The Potential of Your Data
Philippe Massoncier, Nick Morales, Abhijit Singh
Adobe and Cohere have formally partnered to integrate Cohere's AI embedding and re-ranking models into Adobe Document Cloud, powering the Acrobat AI Assistant with multilingual and multimodal search capabilities across over 100 languages. This collaboration transforms enterprise search from simple retrieval to intelligent action by unifying fragmented data from systems like Salesforce and SharePoint, while enforcing strict trust pipelines through Retrieval-Augmented Generation to ensure all AI responses are cited to source documents. By offering flexible deployment options including private on-premises infrastructure, the alliance directly addresses critical barriers to enterprise AI adoption such as data silos, security compliance, and the need for context-rich data to enable autonomous AI agents.
- 20 min
Des Traynor, Co-Founder & CSO @ Intercom & Creator of Fin.ai: The Death of SaaS, The Dawn of Agents
Industry leaders identify AI agents as an existential force converging fragmented B2B SaaS workflows, presenting a critical "adapt or die" choice where obsolescence looms for firms unable to deploy robust, job-executing systems within two years. While strategic ambition ranges from efficiency-boosting copilots to full organizational replacements, success hinges on overcoming severe operational hurdles regarding unstructured data, compounding error rates in multi-step chains, and balancing agent agency with strict reliability controls. Although pioneers like Intercom report five-year growth through this paradigm, widespread adoption requires fundamentally rewriting pricing, sales, and validation architectures to bridge the gap between experimental prototypes and production-ready performance.