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Industrial Edge
On-Device ML
Compute

Author:

Aniruddha Maru

VP, Infrastructure
Standard AI

Maru is a seasoned DevOps engineer with over 15 years of experience architecting solutions that scale. He currently leads the Infrastructure team at Standard AI, where he orchestrates hybrid infrastructure that powers cutting-edge machine-learning workloads that are reshaping retail.

After earning bachelor’s and master’s degrees in Computer Science from Indian Institute of Technology (IIT) Bombay, Maru has conquered diverse tech stacks throughout his career - from desktop and mobile applications to large scale distributed systems. Over his decade-plus journey through the startup ecosystem, he's delivered breakthrough solutions including smart car IoT devices, intelligent music learning platforms, and autonomous checkout systems. Maru gravitated towards the DevOps culture, finding a passion for scalable cloud-native technologies and continuous delivery of AI workloads.

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Aniruddha Maru

VP, Infrastructure
Standard AI

Maru is a seasoned DevOps engineer with over 15 years of experience architecting solutions that scale. He currently leads the Infrastructure team at Standard AI, where he orchestrates hybrid infrastructure that powers cutting-edge machine-learning workloads that are reshaping retail.

After earning bachelor’s and master’s degrees in Computer Science from Indian Institute of Technology (IIT) Bombay, Maru has conquered diverse tech stacks throughout his career - from desktop and mobile applications to large scale distributed systems. Over his decade-plus journey through the startup ecosystem, he's delivered breakthrough solutions including smart car IoT devices, intelligent music learning platforms, and autonomous checkout systems. Maru gravitated towards the DevOps culture, finding a passion for scalable cloud-native technologies and continuous delivery of AI workloads.

Gen AI
Enterprise Use Case

Author:

Arun Nandi

Chief Data & AI Officer
Carrier

Arun Nandi is a visionary keynote speaker, advisor and thought leader in AI. His professional experience driving impact for larger enterprises from Data, Analytics & Insights initiatives spans close to 20 years.

He was presented the Top 100 Influential AI & Analytics leaders award, the Top 40 AI Leaders under 40 award and LinkedIn Top Voice. He currently works as Chief Data & AI Officer at Carrier Global Corp, a Fortune 200 company. He previous was Head of Data & Analytics at Unilever. He has built AI and analytics practices from the ground up on multiple occasions.

Arun serves and consults with advisory boards and investment firms recognized as a credible voice in the industry. He was esteemed jury member at prestigious events such as The Drum Awards and LVMH’s Dare Competition. He has delivered keynote addresses at many events with other experts including Andre Ng (Deep Learning), Julien Simon (Hugging Face).

Arun works with numerous service providers within the AI, data and Analytics ecosystem and shapes the strategy for his enterprise and the industry at large.

Arun is based in New York, NY, USA. He is a keen traveler, foodie and adventure motorcyclist.

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Arun Nandi

Chief Data & AI Officer
Carrier

Arun Nandi is a visionary keynote speaker, advisor and thought leader in AI. His professional experience driving impact for larger enterprises from Data, Analytics & Insights initiatives spans close to 20 years.

He was presented the Top 100 Influential AI & Analytics leaders award, the Top 40 AI Leaders under 40 award and LinkedIn Top Voice. He currently works as Chief Data & AI Officer at Carrier Global Corp, a Fortune 200 company. He previous was Head of Data & Analytics at Unilever. He has built AI and analytics practices from the ground up on multiple occasions.

Arun serves and consults with advisory boards and investment firms recognized as a credible voice in the industry. He was esteemed jury member at prestigious events such as The Drum Awards and LVMH’s Dare Competition. He has delivered keynote addresses at many events with other experts including Andre Ng (Deep Learning), Julien Simon (Hugging Face).

Arun works with numerous service providers within the AI, data and Analytics ecosystem and shapes the strategy for his enterprise and the industry at large.

Arun is based in New York, NY, USA. He is a keen traveler, foodie and adventure motorcyclist.

Building AI solutions involves critical strategic choices impacting cost, performance, and time-to-market. GenAI use cases and associated compute need has grown exponentially in the last 2-3 years. AI developers have been posed with decisions on how to architect their applications selecting between models, training, fine-tuning, and inference techniques, managed vs. self-managed options to building AI models and applications. This session offers a pragmatic framework for navigating those choices. We'll demystify AI Infrastructure selection and deployment approaches, empowering you to make informed decisions that align your AI initiatives directly with business objectives.

Compute

Author:

Diwakar Bansal

Principal Specialist Gen AI Accelerated Compute
AWS
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Diwakar Bansal

Principal Specialist Gen AI Accelerated Compute
AWS

Author:

Ruchi Bhatia

Product Marketing Manager, AI Infrastructure
AWS

Ruchi Bhatia is a Computer Engineer with a Master’s degree in Information Systems Management from Carnegie Mellon University. She currently serves as a Product Marketing Manager at Amazon Web Services, driving awareness, engagement, and adoption of AI infrastructure solutions including Trainium and Inferentia. Ruchi is proud to be the youngest triple Kaggle Grandmaster across the Notebooks, Datasets, and Discussion categories. In her previous role as Product Marketing Manager at HP, she focused on data science and AI solutions, further strengthening her expertise at the intersection of technology and business. She also served as a Global Data Science Ambassador for Z by HP, sharing her knowledge with the broader data science community. Earlier in her career, Ruchi worked across the technology divisions of major global firms, gaining valuable industry perspective and experience. As Leader of Data Science at OpenMined, she guided a team of data scientists in developing innovative privacy-preserving AI solutions. Her expertise has led to speaking invitations at Google Cloud Next, NVIDIA GTC, and the University of Oxford, where she shares insights on AI and data science applications.

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Ruchi Bhatia

Product Marketing Manager, AI Infrastructure
AWS

Ruchi Bhatia is a Computer Engineer with a Master’s degree in Information Systems Management from Carnegie Mellon University. She currently serves as a Product Marketing Manager at Amazon Web Services, driving awareness, engagement, and adoption of AI infrastructure solutions including Trainium and Inferentia. Ruchi is proud to be the youngest triple Kaggle Grandmaster across the Notebooks, Datasets, and Discussion categories. In her previous role as Product Marketing Manager at HP, she focused on data science and AI solutions, further strengthening her expertise at the intersection of technology and business. She also served as a Global Data Science Ambassador for Z by HP, sharing her knowledge with the broader data science community. Earlier in her career, Ruchi worked across the technology divisions of major global firms, gaining valuable industry perspective and experience. As Leader of Data Science at OpenMined, she guided a team of data scientists in developing innovative privacy-preserving AI solutions. Her expertise has led to speaking invitations at Google Cloud Next, NVIDIA GTC, and the University of Oxford, where she shares insights on AI and data science applications.

Author:

Phill Lawson-Shanks

Chief Innovation Officer
Aligned Data Centers

Phill has more than 25 years of experience identifying new opportunities for further growth of leading data center infrastructure, network architecture, and cloud solutions in the U.S. and abroad.

As Chief Innovation Officer at Aligned, Phill is responsible for the management of revenue generation and profitability objectives, as well as championing key innovation, technology, and sustainability strategies aimed at maximizing new business development.

Prior to joining Aligned, Phill served as Chief Innovation Officer at EdgeConneX, where he was instrumental in driving strategies focused on creating the next generation of network edge-based data centers for the digital content ecosystem. Throughout his career, Phill has also served in numerous senior executive-level positions at Virtacore, Alcatel-Lucent, Savvis (now CenturyLink Technology Solutions), and MCI (now Verizon Digital Media Services). He currently holds eight active technology patents and serves on the Board of Directors for Netrality Data Centers as well as the Clean Energy Buyers Association (CEBA) Advisory Board.

 

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Phill Lawson-Shanks

Chief Innovation Officer
Aligned Data Centers

Phill has more than 25 years of experience identifying new opportunities for further growth of leading data center infrastructure, network architecture, and cloud solutions in the U.S. and abroad.

As Chief Innovation Officer at Aligned, Phill is responsible for the management of revenue generation and profitability objectives, as well as championing key innovation, technology, and sustainability strategies aimed at maximizing new business development.

Prior to joining Aligned, Phill served as Chief Innovation Officer at EdgeConneX, where he was instrumental in driving strategies focused on creating the next generation of network edge-based data centers for the digital content ecosystem. Throughout his career, Phill has also served in numerous senior executive-level positions at Virtacore, Alcatel-Lucent, Savvis (now CenturyLink Technology Solutions), and MCI (now Verizon Digital Media Services). He currently holds eight active technology patents and serves on the Board of Directors for Netrality Data Centers as well as the Clean Energy Buyers Association (CEBA) Advisory Board.

 

The generative AI revolution presents a dilemma: the best models are in the cloud, but your data is on-prem due to sovereignty, security, or latency needs. This makes on-prem AI complex and costly. This session explores how Google Distributed Cloud (GDC) solves this by bringing a managed platform with Google's best AI—including Gemini and Vertex—to your environment. Learn how GDC's flexible connected and air-gapped solutions  are empowering defense, finance, and other critical industries to securely unlock their data.

Industrial Edge
On-Device ML
Optimized Infrastructure

Author:

Andrew Fetterer

Group Product Manager
Google Cloud

A seasoned product leader who is passionate about cloud and innovation , Andrew Fetterer serves as the Group Product Manager for Google Distributed Cloud. In this role, he is responsible for the outbound product management that shapes how Google Cloud infrastructure operates on-premises and at the edge for the world's leading organizations.

Throughout his career, Andrew has a proven track record of building and scaling platforms and infrastructure from concept to category leadership.

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Andrew Fetterer

Group Product Manager
Google Cloud

A seasoned product leader who is passionate about cloud and innovation , Andrew Fetterer serves as the Group Product Manager for Google Distributed Cloud. In this role, he is responsible for the outbound product management that shapes how Google Cloud infrastructure operates on-premises and at the edge for the world's leading organizations.

Throughout his career, Andrew has a proven track record of building and scaling platforms and infrastructure from concept to category leadership.

Compute
Gen AI
Agentic AI

Author:

Sid Sheth

CEO & Co-Founder
D Matrix

Sid Sheth is the co-founder and CEO of d-Matrix, the company changing the trajectory of commercially viable generative AI by introducing an entirely new computing paradigm designed from the ground-up for AI inference in modern datacenters.

Sid spent over two decades as a business and technical leader transforming startups into industry leaders and creating new categories of technology, taking them from innovations to commercialization. Before founding d-Matrix, Sid served as senior vice president & general manager for the Networking Business Unit at Inphi Corporation where he incubated and grew the group into a $1B+ business by focusing the business on the cloud and enterprise data center segment. Prior to Inphi, Sid was at NetLogic Microsystems (now Broadcom) and Intel where he ran marketing and worked in R&D for networking chips and processors.

Sid earned his MSEE from Purdue University, where he serves on the Electrical and Computer Engineering Advisory Board. He is a regularly featured speaker at industry tradeshows and conferences, is a published author at ISSCC and holds multiple patents.

 

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Sid Sheth

CEO & Co-Founder
D Matrix

Sid Sheth is the co-founder and CEO of d-Matrix, the company changing the trajectory of commercially viable generative AI by introducing an entirely new computing paradigm designed from the ground-up for AI inference in modern datacenters.

Sid spent over two decades as a business and technical leader transforming startups into industry leaders and creating new categories of technology, taking them from innovations to commercialization. Before founding d-Matrix, Sid served as senior vice president & general manager for the Networking Business Unit at Inphi Corporation where he incubated and grew the group into a $1B+ business by focusing the business on the cloud and enterprise data center segment. Prior to Inphi, Sid was at NetLogic Microsystems (now Broadcom) and Intel where he ran marketing and worked in R&D for networking chips and processors.

Sid earned his MSEE from Purdue University, where he serves on the Electrical and Computer Engineering Advisory Board. He is a regularly featured speaker at industry tradeshows and conferences, is a published author at ISSCC and holds multiple patents.

 

Author:

Lisa Spelman

CEO
Cornelis Networks

Lisa Spelman is CEO of Cornelis Networks. As CEO, Lisa is responsible for the overall management of the company. She brings to the company more than two decades of executive leadership experience, most recently serving as corporate vice president in the Data Center & AI Group and general manager of Xeon Products and Solutions at Intel Corporation. During her tenure, she expanded Xeon’s capabilities to accelerate AI workloads, establishing CPUs as a leading inference engine across the industry. Lisa also held several senior leadership roles within Intel’s IT organization, including infrastructure operations and engineering, as well as positions in finance, data center product and brand marketing, and sales. She is a graduate of the University of Washington, with a degree in business administration.

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Lisa Spelman

CEO
Cornelis Networks

Lisa Spelman is CEO of Cornelis Networks. As CEO, Lisa is responsible for the overall management of the company. She brings to the company more than two decades of executive leadership experience, most recently serving as corporate vice president in the Data Center & AI Group and general manager of Xeon Products and Solutions at Intel Corporation. During her tenure, she expanded Xeon’s capabilities to accelerate AI workloads, establishing CPUs as a leading inference engine across the industry. Lisa also held several senior leadership roles within Intel’s IT organization, including infrastructure operations and engineering, as well as positions in finance, data center product and brand marketing, and sales. She is a graduate of the University of Washington, with a degree in business administration.

Industrial Edge
On-Device ML
Gen AI

Author:

Manuel Botija

VP, Product Management
Axelera

Manuel Botija is an engineer with degrees from Telecom Paris and Universidad Politécnica de Madrid. Over the past 17 years, he has led product innovation in semiconductor startups across Silicon Valley and Europe. Before joining Axelera, Manuel served as Head of Product at GrAI Matter Labs, which was acquired by Snap Inc.

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Manuel Botija

VP, Product Management
Axelera

Manuel Botija is an engineer with degrees from Telecom Paris and Universidad Politécnica de Madrid. Over the past 17 years, he has led product innovation in semiconductor startups across Silicon Valley and Europe. Before joining Axelera, Manuel served as Head of Product at GrAI Matter Labs, which was acquired by Snap Inc.

Agentic and Gen AI

Author:

Barak Turovsky

Chief AI Officer
General Motors

Barak Turovsky is the Chief AI Officer at General Motors. He is an operating advisor and product and business leader with over 25 years of experience in artificial intelligence (Generative AI/Large Language Models, Computer Vision, etc), Ads & Commerce, Cloud applications, and Enterprise Software.

Prior to General Motors, Barak was VP of AI at Cisco, Chief Product Officer at Trax Retail, and Director & Head of Product for Languages AI at Google.

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Barak Turovsky

Chief AI Officer
General Motors

Barak Turovsky is the Chief AI Officer at General Motors. He is an operating advisor and product and business leader with over 25 years of experience in artificial intelligence (Generative AI/Large Language Models, Computer Vision, etc), Ads & Commerce, Cloud applications, and Enterprise Software.

Prior to General Motors, Barak was VP of AI at Cisco, Chief Product Officer at Trax Retail, and Director & Head of Product for Languages AI at Google.