Join theCUBE + NYSE Wired for a special presentation of East Coast AI Leaders, as theCUBE Research analysts welcome top innovators to the New York Stock Exchange for in-depth discussions on the future of enterprise-scale computing. Gain firsthand insights from dozens of AI leaders, as Wall Street and the business world beyond are forever redefined by modern data applications.

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    Friday, November 1 (UTC) November 1
    Saturday, November 2 (UTC) November 2
    • ON DEMAND

      Shekar Ayyar, Arrcus

      TheCUBE is at NYSE location, CUBE East for Media Week, focusing on growth startups in AI. Shekar, CEO of Arrcus, a networking startup, discusses the current super cycle in networking and the need for innovation in networking infrastructure to support AI growth. Arrcus provides a platform with an abstraction layer for different network functions and workloads. The evolving landscape of AI applications demands efficient networking solutions, connecting data centers, edges, and endpoints. Arrcus collaborates with chip players like Broadcom and NVIDIA to offer a harmonization layer between systems, enabling applications and data to work seamlessly. The company's programmable infrastructure allows for quick adaptation to evolving technology changes, a key value proposition for top market cap companies seeking speed and flexibility in infrastructure development. Arrcus aims to be a key player in networking for the AI era, where inferencing and distributed computing require robust and agile networking solutions. The company's innovative approaches, such as the SRV-VI mobile user plane with SoftBank, demonstrate its ability to simplify and enhance network functionalities for diverse use cases in the evolving AI landscape.
      Shekar Ayyar
      CEO Arrcus
    • ON DEMAND

      Tom Petit, Didero

      TheCUBE at NYSC Studios in New York has two sets and is currently in operation. Tom Petit, CEO and co-founder of Didero AI, discusses how they are building AI for the supply chain, automating routine tasks for procurement teams. Didero AI aims to assist mid-market companies in automating workflows like sourcing, supplier onboarding, and invoice management. They employ 20 engineers and are working towards creating an autonomous supply chain. Their approach involves understanding customer workflows, ingesting unstructured data, and suggesting tools and tasks to automate processes. Didero AI's goal is to provide a seamless platform for customers while offering underlying services to streamline operations. The company's competitive strategy is to deliver value quickly, onboarding customers in just 24 hours. Didero AI's founders come from consulting and manufacturing backgrounds, aiming to revolutionize the procurement process with their platform.
      Tom Petit
      Co-Founder & CEO Didero
    • ON DEMAND

      Andy Byron & Pete DeJoy, Astronomer

      During theCUBE + NYSE Wired: AI + Cloud Leaders Media Week event, theCUBE Research’s top industry analyst John Furrier sits down with Andy Byron, CEO of Astronomer, and Pete DeJoy, the company’s SVP of Products. They discuss how AI’s rapid evolution is reshaping business models, tech infrastructure and the broader data ecosystem.

      Astronomer empowers organizations by orchestrating data pipelines essential for production-scale AI, Byron and DeJoy shared. As AI becomes more democratized through pre-trained models, they emphasize that clean, well-managed data remains the lifeblood of successful deployments. The two reflect on their journey and the critical role Astronomer plays in streamlining AI operations.

      They also explore the often-overlooked challenges of moving from prototype to production. DeJoy underscores the increasing importance of data engineering, while Byron outlines how foundational models are influencing architecture choices.

      Though recorded last year, the interview offers timely perspective as Astronomer continues to gain attention: https://www.msn.com/en-us/lifestyle/lifestyle-buzz/the-coldplay-kiss-cam-debacle-explained-who-are-andy-byron-and-kristin-cabot/ar-AA1IQnOx?ocid=entnewsntp&pc=DCTS&cvid=06c6f757e2fc4c85bb3e3c411aa457db&ei=34. The focus here, however, remains squarely on the company’s technical leadership in enabling agentic AI.


      Andy Byron
      Co-Founder & CEO Astronomer
      Pete DeJoy
      SVP Products, Co-Founder Astronomer
    • ON DEMAND

      Saar Yoskovitz, Augury

      Saar Yoskovitz, CEO and founder of Augury, discusses how their company helps manufacturing companies improve reliability, productivity, and sustainability using AI. They monitor machines using sensors to detect malfunctions in real time, helping companies avoid downtime and increase revenue. Saar emphasizes the importance of data collection, integration, and domain expertise in successfully implementing AI solutions in manufacturing.

      The conversation also touches on the shift to generative AI, the significance of trust in AI systems, and the potential of digital twins in manufacturing. Saar highlights the need for simulation tools and real-time analytics to drive impactful outcomes in production processes. Augury's vision is to become a partner for their customers, addressing all their AI and digital needs in the manufacturing space.

      Overall, the discussion showcases how AI is transforming the industrial sector and the challenges and opportunities that come with integrating advanced technologies in traditional manufacturing processes.
      Saar Yoskovitz
      Co-Founder, CEO Augury
    • ON DEMAND

      Carmen Li, Silicon Data

      Carmen Li, founder and CEO of Silicon Data, started the company in April of this year, focusing on the lack of financial and data products in the rapidly growing compute market. Silicon Data aims to provide transparency, efficiency, and risk management for users in the financial services and technology sectors. The company is releasing two products, Silicon Navigator and Silicon Carbon, to help users make informed decisions about GPU chips and carbon footprints. Li's vision is to create a healthy and efficient market for compute products. She is currently hiring engineers and data scientists to help achieve this goal. Li's entrepreneurial journey has been fulfilling, allowing her to work on something she is passionate about while balancing her role as a mother. She is excited to collaborate and contribute to the intersection of finance and high-performance compute.
      Carmen Li
      Founder & CEO Silicon Data
    • ON DEMAND

      Cody Coleman, Coactive AI

      At AI Leaders East Coast Edition in New York City, Cody Coleman, CEO of Coactive.AI, discusses the democratization of content creation through AI. Coactive's platform simplifies the search and analysis of images and videos, revolutionizing the way enterprises manage visual assets. By leveraging multimodal AI, Coactive eliminates the need for manual tagging and annotation, making content easily searchable without metadata. This innovation drives productivity gains, reduces costs, and enhances content quality for customers in media, retail, and social platforms. Coactive's approach to processing visual data efficiently and securely is rooted in Cody's background in deep learning and his experience at companies like Pinterest and Meta. The scalability of Coactive's platform allows customers to unlock new value streams.
      Cody Coleman
      CEO & Co-Founder Coactive AI
    • ON DEMAND

      Etay Maor, Cato Networks

      Security strategist Etay Maor discussed the impact of AI on security, specifically in analyzing data for threats and protecting against attacks. Threat actors target AI systems with injections to bypass security measures, while the MITRE ATLAS initiative examines these attacks. Companies utilize AI for simulations, vulnerability detection, and two-factor authentication attacks. AI patterns aid in threat identification, though threat actors can adapt quickly. Law enforcement and security firms use AI to correlate data and identify malicious patterns. Cato Networks, a company with over 2,500 customers, is hiring and focused on network security, with plans to go public in the near future.
      Etay Maor
      Chief Security Strategist Cato Networks
    • ON DEMAND

      Andrew Hoh, Lastmile.ai

      At the NYSE for theCUBE Studio East, Andrew discusses LastMile.AI's focus on democratizing AI technology. The company specializes in evaluating and deploying large language models for Fortune 500 customers. They stress the importance of robust review processes and testing for production-grade systems. LastMile.AI highlights challenges with using foundation models from others and the importance of thorough inspection and testing before integration. Based in New York City, they are seeking individuals passionate about machine learning and infrastructure. Excited about new AI use cases, they are focused on reasoning models and multimodality. The team's core passion lies in tackling challenging problems in machine learning infrastructure. If interested in solving complex problems in machine learning or infrastructure, contact LastMile.AI in New York for more information on their impact in the AI space.
      Andrew Hoh
      Co-Founder LastMile AI
    • ON DEMAND

      Eiman Ebrahimi, Protopia AI

      Protopia.ai, led by CEO Eiman, focuses on enabling the use of private data with machine learning and AI without traditional barriers. The company, established for three and a half years, recognizes the increasing complexity of machine learning platforms. Protopia addresses how enterprises can efficiently and scalably utilize their data with shared infrastructure. Eiman's background at NVIDIA informs the company's approach, which involves a post-training step to create a transformation layer called stained-glass. This layer allows for secure use of private data without compromising accuracy or adding significant latency. Protopia targets customers in sectors like financial services, insurance, and healthcare that require the use of sensitive information in AI applications. The company's culture focuses on enabling AI use cases in a safe and cost-effective manner without expensive private infrastructure. By collaborating with frameworks like PyTorch, Protopia aims to align with the evolving needs of the AI ecosystem. The company prioritizes minimizing latency, ensuring alignment with frameworks, and making it easy for model builders and deployers. Ultimately, Protopia aims to integrate privacy layers into all model creation environments, revolutionizing application deployment and value creation at the enterprise level.
      Eiman Ebrahimi
      CEO Protopia AI
    • ON DEMAND

      David Shapiro, OpenVC

      TheCUBE coverage at the NYSE with John Furrier, founder of Open VC, discussing democratizing venture capital through indices, product opportunities, and access for retail and institutional investors. Exploring the challenges of private market trading, valuations, and liquidity. Analyzing the shift towards passive investing in private markets and the importance of data in making informed investment decisions. Examining the intersection of industry and financial analysts in tracking private companies and predicting trends. Highlighting the technology and methodology behind creating indices and providing customizable investment options. Discussing the potential of private markets in the current technological super cycle and the opportunities for investors in early stage companies.
      David Shapiro
      Co-Founder & CEO OPEN
    • ON DEMAND

      Ahmed Rashad, Kiva AI

      Ahmed Rashad
      Founder & CEO Perle
    • ON DEMAND

      Kris Talajic, Kubiya.ai

      Kris Talajic
      Global VP Growth Kubiya.ai
    • ON DEMAND

      Raj Rao, Lilt

      Rajesh Rao
      COO & CFO Lilt
    • ON DEMAND

      Cole Crawford, Vapor IO

      Cole Crawford
      Founder & CEO Vapor IO
    • ON DEMAND

      Cindy Chin, Chief Space Officer

      Cindy Chin
      CEO, Chief Space Officer & Founder Planetary Systems AI
    • ON DEMAND

      Jeff Tatarchuk, Tensorwave

      Jeff Tatarchuk
      Co-Founder & Chief Growth Officer TensorWave
    • ON DEMAND

      Rebecca Qian, Patronis AI

      Rebecca Qian
      Co-Founder & CTO Patronus AI
    • ON DEMAND

      Ned Gannon, Coheso

      Ned Gannon
      Co-Founder & CEO Coheso
    • ON DEMAND

      Brian Benedict, Arcee.ai

      Brian Benedict
      Co-Founder Eliza

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