AI KEEPS
ROLLIN’

INFRA KEEPS
TURNIN’

Carl Brown is an accomplished sales and business development leader with over two decades of experience driving growth, innovation, and customer success in the technology sector. As General Manager of Sales & Business Development at Supermicro, he leads a high-performing team focused on scaling enterprise solutions, deepening strategic partnerships, and expanding market share across key verticals.

At Supermicro, Carl develops and executes sales strategies through executive-level engagement, performance analysis, and creative go-to-market planning. His leadership is defined by a results-driven mindset, a passion for building long-term client relationships, and a commitment to exceeding revenue and service expectations.

Driven by curiosity and collaboration, Carl continues to shape the future of AI and infrastructure innovation while fostering a culture of excellence and growth within his teams.

Papi serves as the Chief Product Officer and Vice President of Product Management at Outshift by Cisco, an innovation engine chartered with discovering Cisco’s next transformational business opportunity by incubating emerging technologies and addressing new markets and personas. At Outshift, he leads the Product Management, Design, and Business Development functions.

Before joining Cisco, Papi held executive product leadership roles at industry-leading companies such as HashiCorp, GitHub, MuleSoft, and Docker. With deep experience in both Product-Led Growth (PLG) and Enterprise go-to-market models, he has successfully built and scaled high-performing product organizations behind some of the most recognized developer-focused and cloud-native products and brands in the industry.

Martin Harrysson draws on expertise in software product development and digital strategy to help clients innovate the customer experience, evolve their operating model, and develop new products

Martin helps primarily high-tech, software, and financial services companies implement digitally enabled business models and improve product development. With his support, companies that were born digital and those still making the transition can seize opportunities and execute decisively in rapidly changing markets.

Recognizing that digital technology is fundamentally changing how companies operate, interact with customers, and develop products and services, Martin has helped clients discover new business opportunities. He has partnered closely with executives to mine customer insights from social and digital platforms, improve software development, get more out of technology investments, and design innovative customer engagements. All these efforts have led to greater operational efficiencies and stronger revenue growth.

In addition to his hands-on advisory experience, Martin tracks developments in digital technology to derive practical insights for business leaders. He seeks to identify the business implications of digital and social media for C-suite executives and explores these topics in many of his publications.

Before joining McKinsey, Martin studied computer science and engineering at MIT, and had internship opportunities at a global technology company and a technology-focused professional services firm. He also served in the Swedish Armed Forces, where he was honored as Soldier of the Year.

Anna Jacobi is an AI infrastructure and systems architect whose career spans Meta, AMD, Lockheed, and Q.ant. At Meta, she operationalized Infrastructure-as-a-Service across megawatt-scale compute clusters, implementing one of the first AI-driven shadow agent systems to orchestrate self-healing and automate break/fix across the global data center fleet. At AMD, she designed and implemented the memory division’s first enterprise data warehouse, enabling real-time visibility across chip design and manufacturing. Earlier in her career at Lockheed, she worked on radar and embedded sensor systems. At Q.ant, she led go-to-market strategy for atomic sensors and lithium niobate photonics, bridging advanced research with commercialization. Today, Anna advises Gathid, a digital twin identity and access platform, while also developing a federated exchange for agent-to-agent economies. She has served both as Chief Product Officer and as a systems architect, known for bridging deep technical infrastructure with product and market alignment.

Nitin Gupta is a seasoned leader in AI/ML strategy, consulting, and delivery with over 15 years of experience driving business transformation across Fortune 500 companies. He has a proven track record of building scalable AI/ML solutions that unlock significant business value through advanced analytics and data science.

He has led transformative projects across organizations such as IBM, GAP Inc., General Electric, SAS, TransUnion, and Mondelez. Recognized as a “40 Under 40 Data Scientist” by AIM in 2022 and among the “Top 50 AI/ML Strategy Advisors” by TopMate in 2024 and Linkedin Top Voice, Nitin brings deep domain expertise in data science, big data, pre-sales, and product management.

Notable Achievements:

• $250M Revenue Growth: Enabled through AI-driven sales insights for a global CPG firm
• 50% Efficiency Boost: Via GenAI-powered Q&A platform
• $30M Savings: Achieved through predictive procurement analytics for a major utility
• $33M Monetization Strategy: For India’s Ministry of Statistics

Education:

• Master’s in Applied Data Science – University of Chicago
• Advanced Management Program in Business Analytics – Indian School of Business
• Bachelor’s in Information Technology – NIT Kurukshetra

Tammy Capistrant, Founder and CEO of Capistrant Consulting Group (CCG), helps businesses that have scaled past their operations identify and solve their most expensive problems through focused, fast, and effective two-week Strategy and Ops Sprints.

During her 20+ years at Google, Tammy began in telecom operations, where she scaled telecom systems, infrastructure, and support during company hypergrowth and established the playbook for network-layer upgrades across global data centers. She later led Product Strategy and Operations, drove launch programs for products such as Google Photos and Google Maps Business Pages, and accelerated the standing up of Google’s internal Secure AI Framework.

In addition to running CCG, she drives Strategy and Operations for Synopsys’ core technology group, spanning IT, InfoSec, Central Engineering, and Software Modernization, where her team runs the GenAI Center of Excellence and leads programs including the AI Tools Board and AI Academy.

Animesh Singh is the Executive Director of AI and ML Platform at LinkedIn, where he leads the development of LinkedIn’s next-generation AI infrastructure powering foundation models that serve over one billion members worldwide. His team builds and scales distributed training systems, machine learning pipelines, and generative AI frameworks — including LLMs and GNNs — across thousands of GPU nodes and multi-billion-parameter models.

Before joining LinkedIn, Animesh was a Distinguished Engineer, CTO, and Executive Director for IBM Watson AI and Data Open Tech, where he played a pivotal role in shaping global AI and cloud strategy. He co-founded Kubeflow, led the Trusted AI initiative under the Linux Foundation, and drove innovation behind products such as Watson OpenScale and Watson Machine Learning.

With over 20 years of experience in software, AI, and data platforms, Animesh has led globally distributed teams across the U.S., Europe, and Asia. He’s an inventor with 15 patents (10 granted), a recognized global speaker with talks viewed by over 200,000 people, and a strategic leader passionate about building scalable, ethical, and open AI systems that accelerate real-world impact.

Devansh is a Machine Learning Engineer and Software Developer who builds high-performing AI systems that help organizations grow revenue, uncover insights, and automate complex processes. His experience spans the entire ML lifecycle-data collection, model training, deployment, and retraining-delivering results for startups, global enterprises, and state governments.

Devansh’s work includes disease detection, climate modeling, deepfake prevention, supply chain forecasting, and intelligent customer segmentation. His collaboration with Johns Hopkins University influenced healthcare policy, and his no-code ML pipelines at Clientell helped secure millions in funding.

A passionate educator, Devansh’s “Machine Learning Made Simple” series has reached learners worldwide and been translated into multiple languages. Known for his creativity, humor, and deep technical expertise, he’s committed to making AI both practical and accessible.

Duncan Ng is Vultr's Vice President Solutions Engineering leading Global Technical Go To Market covering Presales, Technical Account Management and Partner Engineering.

Duncan is responsible for the full customer journey from working with Partners-Alliances and the Direct sales team on the first discovery call, architecting a solution, delivering a POC, scaling customers into production, ongoing technical account management and representing the voice of the customer in establishing the roadmap for new products and features.

He has extensive experience working in, selling to and partnering with organizations with global footprints including Hyperscalers, Service Providers, OEMs, Telecoms, and AI market leaders.

Erik Norden is a seasoned technology leader with a passion for pushing the boundaries of artificial intelligence and hardware acceleration. He is currently CTO of a stealth AI startup and advisor of a robotics startup.

Erik's career reads like a roadmap of advancements in AI and hardware:

• Apple: He spearheaded the invention of the Neural Engine, a dedicated hardware accelerator now found in every iPhone and Mac, revolutionizing on-device AI capabilities.
• Google Cloud: At Google, he played a key role in advancing the TPU (Tensor Processing Unit) architecture, specifically for serving large language models (LLMs), enabling powerful and efficient AI applications.
• NVIDIA: He was instrumental in kickstarting computer vision acceleration efforts, leading to breakthroughs in NVIDIA's Tegra and GPU product lines.
• Intel: Erik contributed to advancements in large-scale deep learning training acceleration.
• Infineon: Earlier in his career, he served as the lead microarchitect for Infineon's TriCore 2 RISC CPU/DSP, a groundbreaking achievement that received the prestigious MPR Embedded Processor of the Year award.

Erik's passion for innovation was evident even in his youth, culminating in him becoming a finalist in the Jugend forscht competition in 1991.

With over 20 years of industry experience, Dr. Vinesh Sukumar is a seasoned AI/ML product leader who currently leads the GEN AI/ML product management team at Qualcomm Technologies, Inc (QTI). He is responsible for defining and executing the GEN AI/ML product strategy and vision across multiple business units, from mobile to automotive domains, and delivering innovative and impactful solutions for customers and consumers.

Dr. Sukumar has a PhD in Electrical Engineering specializing in imaging and vision systems, and an MBA in Strategy, Marketing, and Operations Management. He is proficient in Large Models, Conversational AI, Deep Neural Networks, and Artificial Intelligence, and has authored multiple journal papers and two technical books. He is also a board member and advisor for several academic and industry organizations, and a regular speaker at AI industry forums. He is passionate about advancing the state of the art in AI/ML and creating value for the society.

Carmen Li is revolutionizing how the world understands and trades computing power. As Founder and CEO of Silicon Data, she has built a company that transforms opaque GPU markets into transparent, data-driven ecosystems with financial-grade infrastructure.

Under her leadership, Silicon Data has launched a comprehensive suite of benchmark , Index and data products that have become essential tools for the AI infrastructure industry. Her appointment as CEO of Compute Exchange in October 2025 marked a pivotal moment in compute market evolution, uniting data transparency with efficient trading mechanisms.

Ms. Li brings deep expertise from high-frequency trading and data infrastructure, applying proven market principles to compute resources. Her unique background enables her to bridge technology, finance, and sustainability in ways that are reshaping the industry.

A recognized thought leader in AI infrastructure and compute economics, Ms. Li regularly shares insights on GPU market trends, sustainability, and the evolution of compute as a financial asset class. She holds a degree from the University of Illinois Urbana–Champaign and an MBA from Harvard Business School.