Name: theCUBE + NYSE Wired present the East Coast AI Leaders Executive Series
Start: 2024-11-01T17:00:00.000Z
End: 2024-11-02T04:10:00.000Z

Friday, November 1 (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
CEO Silicon Data & Compute Exchange
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

At NYSC Studios on the East Coast, John Furrier interviews Ahmed, CEO of Kiva.AI, who emphasizes the importance of high-quality data in specialized AI applications. Founded in San Francisco in March, Kiva.AI has raised $7 million in pre-seed funding from investors like Bill Tai and Jack Herrick. The company's vision is to empower experts in finance and medicine to build AI without deep AI knowledge. The focus is on building scalable tech with modularity to meet future needs. The discussion highlights the evolving relationship between humans and AI in the workplace, emphasizing trust, reliability, and interconnectedness. Ahmed shares Kiva.AI's approach of building, selling, and delivering tech solutions. The company is focused on catering to inbound demand and preparing for sales and delivery. The potential for AI to revolutionize healthcare by empowering doctors to provide better care more efficiently and streamline processes is highlighted. Kiva.AI is seeking engineers, researchers, and scientists to join their team in developing human-centered AI solutions for the healthcare industry globally.

Ahmed Rashad
Founder & CEO Perle
ON DEMAND

Kris Talajic, Kubiya.ai

TheCUBE is covering events in New York City, focusing on AI leaders in the finance market and private companies. Chris, global VP of growth at Kubiya.ai, discusses the concept of delegation in AI and how Kubiya is making platform engineering easy with integration into Slack. The company is preparing for KubeCon and aims to help companies tackle the time-to-automation paradox.

Kris Talajic
Global VP Growth Kubiya.ai
ON DEMAND

Raj Rao, Lilt

TheCUBE is discussing Lilt's mission to provide high-quality translations for enterprises, focusing on AI and human-in-the-loop collaboration. Lilt customizes models for accuracy and efficiency in different languages and industries. Raj mentions challenges and growth opportunities in the language translation market, emphasizing cost reduction and real-time translation. With over $100 million in funding, Lilt's priorities include marketing, product enhancement, and AI infrastructure development. Language specialization in AI models, accurate translation in regulated industries, and multilingual transcription and translation of various media formats are key points. Lilt aims to expand product offerings globally to meet diverse customer needs. Employment opportunities and collaboration with language expertise are available.

Rajesh Rao
COO & CFO Lilt
ON DEMAND

Cole Crawford, Vapor IO

Vapor IO, led by founder and CEO Cole Crawford, has developed an innovative edge network system that prioritizes low latency connectivity for AI and computer vision applications. Partnering with companies like NVIDIA, they aim to tackle challenges of distributed inferencing and data sovereignty. A recent collaboration with the City of Las Vegas to deploy an AI-enabled private network demonstrates real-world applications in public safety and economic development. Emphasizing the importance of edge compute with GPU-assisted capabilities, Crawford believes that AI inference is essential for gaining new insights at the edge. Vapor IO focuses on building advanced last-mile networks to support automation solutions for large enterprises. Their alliances with NVIDIA and hardware manufacturers have allowed them to build a strong national backbone. The focus remains on system architecture and data comprehension to meet the demands of complex challenges in network management and GPU architecture.

Cole Crawford
Founder & CEO Vapor IO
ON DEMAND

Cindy Chin, Chief Space Officer

TheCUBE covers events in New York City with host John Furrier and guest Cindy Chin, CEO of Planetary Systems.AI, focusing on accelerating data flow for space operations. Cindy, a NASA Datanaut, identified the need for centralized space data access and is working on back-office optimization and plans to expand into edge computing and digital twin technology. Seeking customers, investors, and talent in AI and space tech fields to join their mission. Challenges in space include managing satellites, space objects, data reliability, and security. The U.S. government fosters competition in the commercial space industry to prevent monopolies and enhance national security. Collaboration between military, space operators, and enterprise technology companies is evident. Planetary Systems AI aims to set itself apart in the satellite industry with AI technology embedded in future missions and a global presence focusing on open-source data sharing and enterprise solutions. With a positive outlook, the company's strategic positioning, emphasis on innovation, and collaboration predict future success.

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

Jeff Tatarchuk, Tensorwave

Jeff, founder and chief growth officer of Tensorwave, discusses their partnership with AMD to focus on providing compute for AI workloads. They talk about the demand for more compute options and the strategic advantages of working with AMD. Jeff mentions their funding, plans for expansion, and the value proposition of AMD. They touch on the importance of latency in system architecture, the need for processing flexibility, and the role of developers in filling ecosystem gaps. The conversation shifts to the future of serverless computing to abstract away compute complexities for developers. Jeff is optimistic about AMD's hardware architecture and strategic investments in open source. The company aims to support AI workloads and drive innovation. Performance and developer activity are expected to increase. The company's key goals include strengthening their relationship with AMD and deploying large clusters to meet customer demands. Despite industry concerns, the need for compute is likely to continue rising. The company is focused on providing additional compute support to help larger companies handle increasing demand.

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

Rebecca Qian, Patronis AI

TheCUBE is covering events in New York City, specifically at the NYSE's East Coast CUBE Studio. Patronus AI, led by co-founder and CTO Rebecca, focuses on AI evaluation to ensure system trustworthiness in light of the rapid deployment of AI in various scenarios. With experience from Meta, Patronus AI is addressing issues like model hallucinations and bias in AI outputs. Companies turn to Patronus AI for evaluation before deploying AI systems live. The process involves identifying blind spots and exposing system vulnerabilities through red teaming exercises. One example involved catching hallucinations in a finance assistant's outputs based on SEC filings. The goal is to help enterprises achieve reliable and accurate AI systems for customer confidence and system effectiveness. Looking ahead, Patronus AI aims to support evaluation for agentic systems and scale evaluation infrastructure to meet the evolving needs of enterprises as they adopt gen AI. The company emphasizes the importance of proper data evaluation to ensure accuracy and make unbiased assessments. Patronus AI recommends early involvement in the AI development cycle for maximum effectiveness. Interested parties should consider reaching out to Patronus AI if they prioritize AI performance and want to leverage reliable automated evaluations to enhance system capabilities and save time and resources.

Rebecca Qian
Co-Founder & CTO Patronus AI
ON DEMAND

Ned Gannon, Coheso

Ingram Micro went public at the NYSE in New York City during Media Week, bridging Silicon Valley and Wall Street. Private equity week is also ongoing. Coheso, a company founded by Ned Gannon, focuses on AI technology with a practical application in the legal industry. The company offers a legal front door and work management system that automates language-based tasks, saving time and increasing efficiency for legal departments. Coheso's easy implementation process allows for immediate use and seamless integration with existing systems. With a strong technical team based in New York, Coheso aims to transform legal operations and bring significant power to in-house legal departments, with potential for use by smaller firms or fractional legal advisors. The company is dedicated to accelerating legal processes and adding value for business stakeholders.

Ned Gannon
Co-Founder & CEO Coheso
ON DEMAND

Brian Benedict, Arcee.ai

John Furrier is at the NYSE in New York City with Brian Benedict of Arcee.ai, discussing the evolution of AI and the benefits of small language models (SLMs) and agentic workflows. SLMs offer cost efficiency and data ownership, leading to quick ROI and domain-specific models. Specialty models and domain-specific language models are emerging trends, helping companies like Guild Education match individuals with career advancement courses efficiently. The combination of SLMs and agentic workflows has proven valuable for various use cases. Arcee.ai suggests starting small with SLMs for immediate benefits and cost effectiveness. Entrepreneurs are utilizing data to drive innovation. Companies are advised to assess their resources to implement SLMs and agentic workflows based on risk tolerance. ServiceNow is recognized for driving profitability through innovation. Arcee offers general and domain-specific models to support organizations at any stage of their AI journey. The focus is on automation, ownership of models, and debunking industry myths. Arcee looks forward to networking at NYSC Wired and connecting AI leaders from Silicon Valley to Wall Street.

Brian Benedict
Co-Founder Eliza