Adam is a Software Engineer at SambaNova and is passionate about integrating AI with other fields to provide better services. He worked at ASUS Intelligence Cloud Service Center and has experience in developing applications with AI. He holds a master's in electrical and computer engineering from the University of Illinois Urbana-Champaign.

Lata Jindal is a senior principal engineer at Sambanova systems who firmly believes AI will change the way we work and live in next 10 years. She is a seasoned professional whose work has spanned chip designs, systems and software. Before Sambanova, she has been a director at Intel and Oracle. She holds a masters in electrical engineering from IIT Delhi.

David is a Software Engineer on the machine learning (ML) team at SambaNova, where he researches, implements, and trains state-of-the-art computer vision models on a variety of vision-related tasks. David is interested in efficient training of ML models, and creating software systems for ML. David completed his Masters in Electrical and Computer Engineering, and Bachelors in Computer Engineering at the University of Michigan.

Frank Berry is VP of Marketing at MemVerge. Before joining MemVerge, Frank was founder and senior analyst at IT Brand Pulse, a trusted source of testing, research and analysis covering data center infrastructure. Frank is also founder and publisher of awsdailynews.com. Prior to founding IT Brand Pulse, Frank was vice-president of corporate marketing for networking company QLogic, and vice president of marketing for storage company Quantum. 

Christina Day as a Senior Product Marketing Manager at Samsung Semiconductor focuses her attention on the forces and behaviors that are driving NAND and Enterprise SSD demands.  Christina works tightly with cross functional teams and partners to educate them on market trends, ensuring forward looking plans are strategically implemented for enterprise server and storage platforms.  Her extensive experience and storage background help shape decisions internally and externally.  Christina has tapped into the software industry but forces of nature always seem to pull her back to storage.  

Arvind Krishnamurthy is the Short-Dooley Professor in the Paul G. Allen School of Computer Science & Engineering. His research interests span all aspects of building effective and robust computer systems, in the context of both data centers and Internet-scale systems. More recently, his research has focused on programmable networks and systems for machine learning. He is an ACM fellow, a past program chair of ACM SIGCOMM and Usenix NSDI and serves on their technical steering committees, is the Vice President of Usenix, and serves on the ICSI and CRA boards.

Director of Inference Software at Flex Logix. Jeremy earned his BSEE, MSEE, and PhD EE degrees from UC Davis specializing in Signal Processing Algorithms. Jeremy has worked on algorithms and hardware accelerator architectures for machine learning and signal processing in domains such as automatic speech recognition, object detection for biomedicine, capacitive sensing systems, and more. He has several patents and publications within these areas. He has spent the last 6 years working on inference SW for AI accelerators, first at Intel, and now at Flex Logix. 

Derek Chickles leads the machine learning software group at Marvell developing the toolchain, runtime drivers, and Marvell DPU-optimized models all co-designed with Marvell hardware. Outside of ML, his past work also includes development of Marvell’s LiquidIO™ SmartNIC platform. He earned his BS degree in Computer Science from University of Colorado at Boulder. 

Arvind Krishnamurthy is the Short-Dooley Professor in the Paul G. Allen School of Computer Science & Engineering. His research interests span all aspects of building effective and robust computer systems, in the context of both data centers and Internet-scale systems. More recently, his research has focused on programmable networks and systems for machine learning. He is an ACM fellow, a past program chair of ACM SIGCOMM and Usenix NSDI and serves on their technical steering committees, is the Vice President of Usenix, and serves on the ICSI and CRA boards.

BSEE, MSEE, and EE PhD from UC Davis specializing in Signal Processing Algorithms.  Jeremy has worked on algorithms and hardware accelerator architectures for machine learning and signal processing in domains such as automatic speech recognition, object detection for biomedicine, capacitive sensing systems, and more.  He has several patents and publications within these areas.