Latest Interviews
Showing 511–525 of 9,621 transcripts.
Clear all filtersInference 101: SambaNova CEO Rodrigo Liang
Sambanova has secured its first $1 billion tranche at an $11 billion valuation, bringing its total capital raised to $2.5 billion as it pivots to optimizing inference for trillion-parameter models. The company's SN40 architecture enables premium, high-accuracy inference within standard 10-kilowatt air-cooled racks, offering a scalable alternative to the massive, liquid-cooled data centers required by competing GPU technologies. This infrastructure strategy, led by founder Rodrigo Yang, supports a heterogenous data center model and edge deployments to meet the latency demands of agentic AI while allowing cloud providers to maximize revenue per rack.
- Goldman Sachs12 min
How Earnings, Volatility, and AI Capex Are Affecting US Markets
Amid a high earnings bar and $6 trillion in projected AI infrastructure capital demands, the market faces divergent pressures between rising single-stock volatility and muted index fluctuations. Goldman Sachs addresses these tensions by recommending specific trades that exploit anomalous option pricing, such as single-stock collars and highly leveraged downside protection on the S&P 500. These strategies aim to capitalize on compressed index volatility while preparing investors for imminent catalysts including the July PCE inflation print and the Federal Reserve's upcoming FOMC meeting.
- Bank of America34 min
A conversation about business and sport with Gary Neville
The presentation analyzes the $40 billion global economic impact of the World Cup while extracting leadership principles from Sir Alex Ferguson's Manchester United tenure, such as immediate accountability and adaptability. It contrasts historical club management with modern challenges, including the shift toward digital media consumption, AI-driven recruitment, and the necessity of balancing individual star power with collective cohesion in both club and national team contexts. Ultimately, the discussion underscores that sustainable success requires immediate talent acquisition, psychological resilience, and maintaining the sport's accessibility despite evolving financial constraints.
- Bank of America33 min
(Video) A conversation about business and sport with Gary Neville
This comprehensive analysis projects the 2026 World Cup will generate over $40 billion in global GDP while driving a strategic shift from collective team models to individual-centric squads enhanced by AI recruitment and compact defensive units. Leadership principles drawn from Sir Alex Ferguson's tenure emphasize immediate problem-solving and a "winning mentality" cultivated through 100% intensity in training, which remains critical for assimilation of international talent. Concurrently, the industry navigates media evolution toward digital shoulder programming and social engagement, all while grappling with financial sustainability rules that force clubs to balance wage inflation with the immediate need for right-hiring personnel to secure titles.
- Milken Institute57 min
The Future of Decision Intelligence | Global Conference 2026
Dan Primack, Stephanie Guild, Paul Liberman, Brian Quintenz
Former CFTC Commissioner Brian Quintenz, Robinhood CIO Steph Gild, and DraftKings President Paul Lieberman discussed how regulated prediction markets like Kalshi aggregate disaggregated information into high-frequency sentiment signals that surpass traditional polling and institutional research. The panelists distinguished these federally licensed derivatives from unregulated gambling by highlighting their role in price discovery, the use of real capital to reduce emotional bias, and robust surveillance systems that deter insider trading. Looking ahead, the speakers anticipate expanding contract categories into corporate earnings and geopolitical events while maintaining that these tools serve as complementary data points for investment portfolios rather than sole decision-making authorities.
- RAISE Summit41 min
Cracking the ROI Code: Is Intelligence Meeting the Income Statement? | RAISE Summit 2026
May Habib, Rick McConnell, Vishal Talwar, Amit Zavery, Stevie Case, Karen Kwok
Executives from ServiceNow, Dynatrace, FedEx, and Vanta convene to assert that artificial intelligence has transitioned from a speculative technology to a foundational operational driver, citing a direct $500 million P&L improvement for ServiceNow and a 350% average ROI for Dynatrace customers. The panel emphasizes a strategic shift away from measuring technology inputs like token volume toward traditional financial metrics and outcomes such as autonomous issue resolution, while identifying a critical workforce transformation that requires reskilling 500,000 employees and adapting hiring practices for functional engineering roles. Ultimately, the discussion concludes that successful AI integration depends on establishing robust trust frameworks through AI Control Towers and data consolidation to manage shadow AI risks, positioning organizational culture and process rewriting as the primary prerequisites for future scalability.
- RAISE Summit19 min
Scaling AI Infrastructure for the Agentic Era | Charlie Kawwas, Broadcom | RAISE Summit 2026
Frontier artificial intelligence laboratories are increasingly partnering with Broadcom to deploy purpose-built XPU architectures that replace general-purpose hardware, enabling custom designs that eliminate efficiency losses and proprietary ecosystem taxes. This strategic shift supports a massive scaling trajectory where Broadcom projects over $100 billion in revenue by 2027 while delivering 16 times the current compute capacity through modular chiplet technology. As major clients contract for gigawatt-scale power expansions, the collaboration prioritizes rapid time-to-market for specialized "agentic AI" workloads while addressing supply chain constraints through new advanced packaging facilities.
- RAISE Summit18 min
Your AI Advantage: Turning Intelligence Into Results | Mark Hura, Oracle | RAISE Summit 2026
Enterprise leaders are shifting from experimental AI to applied AI strategies that prioritize specific business outcomes across sectors like healthcare, finance, and construction. Oracle supports this transition by providing a full-stack infrastructure that enables data sovereignty and local inference, while internal success stories demonstrate dramatic efficiency gains such as a 72% reduction in billing errors. Industry executives are advised to align top-down strategic goals with bottom-up operational needs to capitalize on the current accelerated adoption cycle where AI integration drives tangible reductions in cost and burnout.
SpaceX's Former CIO: "Never Worked Harder in My Life"
Ken Venner, Elon Musk, Molly, Jordan
Ken, leveraging his track record of scaling Broadcom and building operational infrastructure at SpaceX, has joined Senra Systems to automate and consolidate the fragmented cable harness market essential for autonomous vehicles. Drawing on principles of first-principles thinking and a "rinse and repeat" manufacturing model, he is deploying AI-driven platforms to transform the industry with a significantly leaner technical team. Over the next year, the organization aims to prove that technology can drastically reduce costs while improving quality, effectively turning a dormant sector into a scalable global enterprise.
- RAISE Summit18 min
Cheap Tokens, Expensive Mistakes: The Real Economics of AI at Scale | RAISE Summit 2026
Liran Zvibel, Dylan Patel, Karen Kwok
Major AI operators are pivoting from pure pricing power to structural cost efficiency, leveraging advanced KV cache offloading and optimized storage architectures to slash inference expenses. Recent benchmarks reveal that NAND-based memory solutions and strategic hardware combinations, such as high-capacity AMD GPUs, can outperform standard setups by up to 20 times in multi-turn agentic workflows while delivering 7x higher throughput. This shift allows emerging providers and frontier labs to significantly expand gross margins, with companies like Anthropic and OpenAI now projecting substantial operating profits driven by these infrastructure innovations rather than model weights alone.
- RAISE Summit19 min
The Mindset Shift Needed to Thrive Alongside AI | Marco Argenti, Goldman Sachs | RAISE Summit 2026
Goldman Sachs has achieved a 20% net engineering productivity gain by shifting from spec-driven to prototype-driven development, where business professionals utilize AI tools to build functional models that engineers then scale. This transformation is underpinned by strict governance frameworks that treat AI output as junior input requiring rigorous code review, alongside a leadership culture where executives actively model adoption while retaining final strategic decision-making authority. Consequently, junior staff now focus on client engagement and apprenticeship rather than mechanical analysis, as internal copilots handle the bulk of data processing and initial research tasks.
- RAISE Summit18 min
Keeping AI Honest: The AI Wave Seen From the Inside | Olivier Pomel, Datadog | RAISE Summit 2026
Datadog reported fiscal revenue projections reaching $4.3 billion, driven by a 30% year-over-year growth rate fueled by rising AI adoption across its diverse customer base. CEO Olivier Limousin highlighted the company's strategic pivot from passive observability to active autonomy through the acquisition of Adaptive ML, aiming to build proprietary models that are faster and cheaper than frontier alternatives. While current systems resolve 40% of issues independently, leadership maintains a culture of rigorous caution to ensure near-perfect accuracy before pursuing full self-healing capabilities.
- RAISE Summit23 min
Agentic Development Security | Manoj Nair, Snyk | RAISE Summit 2026
Presenting critical findings on the surge of security risks in AI-driven development, this analysis reveals a 108% increase in vulnerabilities linked to agentic workflows and highlights that current frontier models still produce only 60% secure code autonomously. With threat actors already executing attacks within weeks and open models projected to match proprietary capabilities in six months, the session outlines a strategic blueprint requiring independent validation, pre-build context integration, and the eradication of technical debt before scaling adoption. Urging organizations to shift from fragile remediation to resilient, load-bearing architectures, the discussion emphasizes immediate board-level action to secure supply chains and comply with upcoming regulatory frameworks like the EU AI Act.
- RAISE Summit18 min
Betting on the AI Application Layer | Grant Lee, Gamma | RAISE Summit 2026
Gamma, an AI-driven visual communication platform with over 100 million users and a $2.1 billion valuation, is expanding its international footprint by establishing a London office to support its 80% non-US user base. Led by Grant Lee, the company is pivoting from simple slide generation to enterprise-grade brand alignment while adopting a lean organizational structure that prioritizes cohesive user experiences over proprietary model ownership. Lee further advocates for a multi-model strategy to navigate regulatory shifts and positions the current market as a transition from bolting AI onto workflows to fundamentally reinventing product architecture.
Meta Takes on OpenAI | Apple Sues OpenAI | SK Hynix’s $26BN IPO
Jason Lemkin, Rory O'Driscoll, Harry Stebbings
Apple has sued OpenAI alleging trade secret theft by two former employees, a move that threatens OpenAI's hardware ambitions while the company simultaneously counters with its Spark 1.1 API launch, which introduces a pay-per-use pricing model specifically optimized for coding tasks. Concurrently, the broader infrastructure landscape is reshaping as SK Hynix executes a record $26.5 billion NASDAQ IPO amid rising memory costs that are cannibalizing traditional IT budgets and forcing a market-wide re-evaluation of AI spend ceilings. These strategic shifts are accompanied by a significant pivot in venture capital from early-stage betting to late-stage growth financing and SaaS roll-ups, as investors increasingly prioritize sustainable pacing and deal structures that account for the terminal decay of legacy software.