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Autonomy
Robotics
On-Device ML
Enterprise Use Case

Author:

Eliana Stefani

Staff Autonomy & AI Research Engineer
Lockheed Martin

Eliana Stefani, PhD is a Staff Autonomy & AI Research Engineer at Lockheed Martin, with expertise in autonomous systems, AI, and robotics. She has experience architecting solutions to complex problems, leading teams across engineering disciplines, and deploying artificially intelligent systems to the edge. 
 
As Principal Investigator, she architected the autonomy stack and developed novel autonomous driving software for the Lunar Terrain Vehicle, enabling a rover to navigate dynamic obstacles while traversing unmapped environments; garnering interest from additional customers. 
 
As Program Manager and later Chief Engineer, she architected system design, led a multi-disciplinary engineering team from research concept to successful test events, guided the program to a contract win, and interfaced with customers and stakeholders. 
 
Dr. Stefani's strong track record of delivering high-impact results and driving program success has been recognized with multiple awards from within Lockheed Martin. She has presented at conferences including NVIDIA's GTC-DC and Amazon's re:MARS. 

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Eliana Stefani

Staff Autonomy & AI Research Engineer
Lockheed Martin

Eliana Stefani, PhD is a Staff Autonomy & AI Research Engineer at Lockheed Martin, with expertise in autonomous systems, AI, and robotics. She has experience architecting solutions to complex problems, leading teams across engineering disciplines, and deploying artificially intelligent systems to the edge. 
 
As Principal Investigator, she architected the autonomy stack and developed novel autonomous driving software for the Lunar Terrain Vehicle, enabling a rover to navigate dynamic obstacles while traversing unmapped environments; garnering interest from additional customers. 
 
As Program Manager and later Chief Engineer, she architected system design, led a multi-disciplinary engineering team from research concept to successful test events, guided the program to a contract win, and interfaced with customers and stakeholders. 
 
Dr. Stefani's strong track record of delivering high-impact results and driving program success has been recognized with multiple awards from within Lockheed Martin. She has presented at conferences including NVIDIA's GTC-DC and Amazon's re:MARS. 

Many AI agent projects stall after promising pilots because they can’t deliver the accuracy businesses need to trust them. A key reason is that enterprise data isn’t just numbers and tables- it comes with strict privacy and governance rules as well as team-specific terms, definitions, and processes. When agents are given access to this data without a system that can enforce governance policies or adapt to evolving definitions in real time, they quickly run into the “accuracy trap”: results that are confidently wrong, non-compliant, or misaligned with how the business actually works. This talk shares lessons from early enterprise deployments on why accuracy debt and weak governance hold back adoption- and how leading teams are building AI agents that respect privacy, adapt to governance, and continuously learn from tribal knowledge to deliver reliable, explainable results.

Data Privacy & Governance

Author:

Rajoshi Ghosh

Co-founder & Chief Ecosystem Officer
PromptQL

Rajoshi Ghosh is the Co-founder and Chief Ecosystem Officer at PromptQL, where she works across product, marketing, and sales to bridge the gap between research and real-world impact in AI. She brings PromptQL to AI change agents driving transformative projects—helping them build reliable, custom AI for their most critical data workflows.

Rajoshi has deep 0–1 startup experience in bringing disruptive technologies to new markets, including the launch of the Hasura GraphQL Engine. Before Hasura, she ran a technology consulting firm helping companies modernize infrastructure with containerized workloads. Earlier in her career, she was a bioinformatics researcher, with her work published in Nature.

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Rajoshi Ghosh

Co-founder & Chief Ecosystem Officer
PromptQL

Rajoshi Ghosh is the Co-founder and Chief Ecosystem Officer at PromptQL, where she works across product, marketing, and sales to bridge the gap between research and real-world impact in AI. She brings PromptQL to AI change agents driving transformative projects—helping them build reliable, custom AI for their most critical data workflows.

Rajoshi has deep 0–1 startup experience in bringing disruptive technologies to new markets, including the launch of the Hasura GraphQL Engine. Before Hasura, she ran a technology consulting firm helping companies modernize infrastructure with containerized workloads. Earlier in her career, she was a bioinformatics researcher, with her work published in Nature.

The combination of extreme-density, co-packaged interconnects and next-gen AI accelerators form the backbone of bleeding-edge AI hardware system topologies. Co-Packaged Copper (CPC) optimizes 224 Gbps signaling by eliminating BGA packaging losses. This implementation allows for extended reach preserving the viability of copper cable assemblies. Emerging Co-Packaged Optics (CPO) solutions enable high-bandwidth, low-latency optical links that can span multiple racks.

In this Main Conference presentation, Samtec technical experts will detail next-gen CPC/CPO solutions using the same SMT Co-Packaged CPX connector. This new CPX architecture breaks through existing performance barriers allowing seamless interconnection of multiple GPUs and enabling AI supercomputing fabrics. An overview of the latest 448 Gbps PAMx technologies will also be presented.

Networking

Author:

Matthew Burns

Global Director, Technical Marketing
Samtec

Matthew Burns develops go-to-market strategies for Samtec’s Silicon-to-Silicon solutions. Over the course of 25 years, he has been a leader in design, applications engineering, technical sales and marketing in the telecommunications, medical and electronic components industries. He currently serves as Secretary at PICMG. Mr. Burns holds a B.S. in Electrical Engineering from Penn State University.

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Matthew Burns

Global Director, Technical Marketing
Samtec

Matthew Burns develops go-to-market strategies for Samtec’s Silicon-to-Silicon solutions. Over the course of 25 years, he has been a leader in design, applications engineering, technical sales and marketing in the telecommunications, medical and electronic components industries. He currently serves as Secretary at PICMG. Mr. Burns holds a B.S. in Electrical Engineering from Penn State University.

Author:

Chris Sharp

CTO
Digital Realty

Chris Sharp has over 20 years of experience in the technology industry, with an extensive background in developing technology strategies in global markets. He has a deep knowledge of the data center sector and is well positioned to expand technical innovation at Digital Realty.

Most recently, he was responsible for cloud innovation at Equinix, where he led the development of innovative cloud services solutions and developed new capabilities enabling next-generation, high-performance exchange, and interconnection solutions, facilitating broad commercial adoption of cloud computing on a global basis.

Previously, Chris held leadership positions at top network and colocation providers, including Qwest Communications, MCI/Verizon Business and Reliance Globalcom.

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Chris Sharp

CTO
Digital Realty

Chris Sharp has over 20 years of experience in the technology industry, with an extensive background in developing technology strategies in global markets. He has a deep knowledge of the data center sector and is well positioned to expand technical innovation at Digital Realty.

Most recently, he was responsible for cloud innovation at Equinix, where he led the development of innovative cloud services solutions and developed new capabilities enabling next-generation, high-performance exchange, and interconnection solutions, facilitating broad commercial adoption of cloud computing on a global basis.

Previously, Chris held leadership positions at top network and colocation providers, including Qwest Communications, MCI/Verizon Business and Reliance Globalcom.

When it comes to AI, inference is how today’s gen AI models can solve real-world business problems. Google Kubernetes Engine (GKE) is seeing an increasing adoption of gen AI inference. In this session, discover how GKE empowers customers to achieve high-performance, cost-effective, and scalable AI inference through cutting-edge Gen AI inference innovations.

Optimized Infrastructure
Inferencing

Author:

Nathan Beach

Director, Product Management
Google Cloud

Nathan Beach is Director of Product Management for Google Kubernetes Engine (GKE). He leads the product team working to make GKE a great platform on which to run AI workloads. He received his MBA from Harvard Business School and, prior to Google, led his own startup. He is a builder and creator passionate about making products that superbly meet user needs. He enjoys career coaching and mentoring, and he is eager to help others transition into product management and excel in their careers.

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Nathan Beach

Director, Product Management
Google Cloud

Nathan Beach is Director of Product Management for Google Kubernetes Engine (GKE). He leads the product team working to make GKE a great platform on which to run AI workloads. He received his MBA from Harvard Business School and, prior to Google, led his own startup. He is a builder and creator passionate about making products that superbly meet user needs. He enjoys career coaching and mentoring, and he is eager to help others transition into product management and excel in their careers.

Networking

Author:

Dave Lazovsky

Co-Founder & CEO
Celestial AI

Dave Lazovsky is the Co-founder and CEO of Celestial AI, the creators of the Photonic FabricTM. Celestial AI, founded in April 2020, has developed the optical interconnectivity technology platform for AI computing.

Prior to founding Celestial AI, Mr. Lazovsky was a Venture Partner at Khosla Ventures. He has 30 years of experience in the semiconductor industry and over two decades of experience building and leading successful start-ups. In 2004 Mr. Lazovsky founded Intermolecular, a semiconductor and clean energy R&D and Intellectual Property licensing company. He served as the company’s Chief Executive Officer, President and as a member of the board of directors from September 2004 through October 2014.

As President and CEO, Mr. Lazovsky led all aspects of the business through its lifecycle from early-stage start-up to public company. Intermolecular (IMI) went public on the NASDAQ in 2011. He currently has over 80 issued and pending U.S. patents.

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Dave Lazovsky

Co-Founder & CEO
Celestial AI

Dave Lazovsky is the Co-founder and CEO of Celestial AI, the creators of the Photonic FabricTM. Celestial AI, founded in April 2020, has developed the optical interconnectivity technology platform for AI computing.

Prior to founding Celestial AI, Mr. Lazovsky was a Venture Partner at Khosla Ventures. He has 30 years of experience in the semiconductor industry and over two decades of experience building and leading successful start-ups. In 2004 Mr. Lazovsky founded Intermolecular, a semiconductor and clean energy R&D and Intellectual Property licensing company. He served as the company’s Chief Executive Officer, President and as a member of the board of directors from September 2004 through October 2014.

As President and CEO, Mr. Lazovsky led all aspects of the business through its lifecycle from early-stage start-up to public company. Intermolecular (IMI) went public on the NASDAQ in 2011. He currently has over 80 issued and pending U.S. patents.

Author:

Ram Velaga

SVP & GM, Core Switching Group
Broadcom

Ram Velaga is Senior Vice President and General Manager of the Core Switching Group at  Broadcom, responsible for the company’s extensive Ethernet switch portfolio serving broad markets including the service provider, data center and enterprise segments. Prior to joining Broadcom in 2012, he served in a variety of product management roles at Cisco Systems, including Vice President of Product Management for the Data Center Technology Group. Mr. Velaga earned an M.S. in Industrial Engineering from Penn State University and an M.B.A. from Cornell University. Mr. Velaga holds patents in communications and virtual infrastructure.

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Ram Velaga

SVP & GM, Core Switching Group
Broadcom

Ram Velaga is Senior Vice President and General Manager of the Core Switching Group at  Broadcom, responsible for the company’s extensive Ethernet switch portfolio serving broad markets including the service provider, data center and enterprise segments. Prior to joining Broadcom in 2012, he served in a variety of product management roles at Cisco Systems, including Vice President of Product Management for the Data Center Technology Group. Mr. Velaga earned an M.S. in Industrial Engineering from Penn State University and an M.B.A. from Cornell University. Mr. Velaga holds patents in communications and virtual infrastructure.

Author:

RK Anand

Co-Founder & CPO
RECOGNI

RK Anand is the Co-founder and Chief Product Officer (CPO) of Recogni, an artificial intelligence startup based in San Jose specializing in building multimodal GenAI inference systems for data centers.

At Recogni, RK spearheads the company’s product development and Go-To-Market strategies within the data center industry.

With an unwavering commitment to customer needs and value creation, RK and the Recogni team are striving to deliver the highest performing and most cost and energy efficient multi-modal GenAI systems to the market.

RK brings over 35 years of leadership experience in data center compute systems, networking, and silicon development. His distinguished career includes engineering roles at Sun Microsystems and serving as Executive Vice President and General Manager at Juniper Networks. As one of the earliest employees at Juniper, RK played a pivotal role in the company’s growth from a startup to generating billions of dollars in revenue.

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RK Anand

Co-Founder & CPO
RECOGNI

RK Anand is the Co-founder and Chief Product Officer (CPO) of Recogni, an artificial intelligence startup based in San Jose specializing in building multimodal GenAI inference systems for data centers.

At Recogni, RK spearheads the company’s product development and Go-To-Market strategies within the data center industry.

With an unwavering commitment to customer needs and value creation, RK and the Recogni team are striving to deliver the highest performing and most cost and energy efficient multi-modal GenAI systems to the market.

RK brings over 35 years of leadership experience in data center compute systems, networking, and silicon development. His distinguished career includes engineering roles at Sun Microsystems and serving as Executive Vice President and General Manager at Juniper Networks. As one of the earliest employees at Juniper, RK played a pivotal role in the company’s growth from a startup to generating billions of dollars in revenue.

The future of AI demands a revolution in infrastructure. As frontier AI models strain the limits of traditional silicon scaling and copper connectivity, a fundamental shift is needed. AI data centers already consume as much power as the largest cities on Earth and continue to grow at an exponential rate. As the industry turns to optics for connecting the next generation of XPU superclusters, we will need more than 100x the bandwidth and double the power efficiency of existing, shoreline-bound optical technologies.

This keynote will present the vision for 3D photonics, a technology that is transforming not only how XPUs and switches are interconnected but also the design of the underlying silicon and packaging. We will reveal how Passage, the world's first 3D co-packaged optics solution, enables a new edgeless I/O design paradigm. This paradigm delivers massive scale-up bandwidth, linking tens of thousands of XPUs with unprecedented energy efficiency. We will also detail the fundamental performance and operational breakthroughs, as well as the broad ecosystem partnerships that are enabling volume production and deployment in hyperscale data centers. Join us to learn how this technology is driving a new era of AI supercomputing.

Author:

Nick Harris

Founder & CEO
Lightmatter

Nick Harris is the founder and CEO of Lightmatter, a pioneering photonic-computing company that is redefining AI infrastructure. An MIT-trained engineer and scientist, he won the MIT Technology Review’s TR35 award and holds numerous patents on revolutionary photonic technologies. His prolific research—published in top-tier journals such as Nature—has seeded new fields in photonic AI interconnects, processor design, and quantum computing. Under his leadership, Lightmatter has rapidly become the industry benchmark for ultra-fast photonics for connecting AI supercomputers.

... read more

Nick Harris

Founder & CEO
Lightmatter

Nick Harris is the founder and CEO of Lightmatter, a pioneering photonic-computing company that is redefining AI infrastructure. An MIT-trained engineer and scientist, he won the MIT Technology Review’s TR35 award and holds numerous patents on revolutionary photonic technologies. His prolific research—published in top-tier journals such as Nature—has seeded new fields in photonic AI interconnects, processor design, and quantum computing. Under his leadership, Lightmatter has rapidly become the industry benchmark for ultra-fast photonics for connecting AI supercomputers.