| Page 325 | Kisaco Research
Generative AI
Hardware
Inferencing
Systems

Author:

Baskar Sridharan

Vice President, AI/ML Services & Infrastructure
AWS

Baskar Sridharan is the Vice President for AI/ML and Data Services & Infrastructure at AWS, where he oversees the strategic direction and development of key services, including Amazon Bedrock, Amazon SageMaker, and essential data platforms like Amazon EMR, Amazon Athena, and AWS Glue.


Prior to his current role, Baskar spent nearly six years at Google, where he contributed to advancements in cloud computing infrastructure. Before that, he dedicated 16 years to Microsoft, playing a pivotal role in the development of Azure Data Lake and Cosmos, which have significantly influenced the landscape of cloud storage and data management.

Baskar earned a Ph.D. in Computer Science from Purdue University and has since spent over two decades at the forefront of the tech industry.

He has lived in Seattle for over 20 years, where he, his wife, and two children embrace the beauty of the Pacific Northwest and its many outdoor activities. In his free time, Baskar enjoys practicing music and playing cricket and baseball with his kids.

Baskar Sridharan

Vice President, AI/ML Services & Infrastructure
AWS

Baskar Sridharan is the Vice President for AI/ML and Data Services & Infrastructure at AWS, where he oversees the strategic direction and development of key services, including Amazon Bedrock, Amazon SageMaker, and essential data platforms like Amazon EMR, Amazon Athena, and AWS Glue.


Prior to his current role, Baskar spent nearly six years at Google, where he contributed to advancements in cloud computing infrastructure. Before that, he dedicated 16 years to Microsoft, playing a pivotal role in the development of Azure Data Lake and Cosmos, which have significantly influenced the landscape of cloud storage and data management.

Baskar earned a Ph.D. in Computer Science from Purdue University and has since spent over two decades at the forefront of the tech industry.

He has lived in Seattle for over 20 years, where he, his wife, and two children embrace the beauty of the Pacific Northwest and its many outdoor activities. In his free time, Baskar enjoys practicing music and playing cricket and baseball with his kids.

Hardware
Systems
Software
Infrastructure

Author:

John Overton

CEO
Kove

John Overton is the CEO of Kove IO, Inc. In the late 1980s, while at the Open Software Foundation, Dr. Overton wrote software that went on to be used by approximately two thirds of the world’s workstation market. In the 1990s, he co-invented and patented technology utilizing distributed hash tables for locality management, now widely used in storage, database, and numerous other markets. In the 2000s, he led development of the first truly capable Software-Defined Memory offering, Kove:SDM™. Kove:SDM™ enables new Artificial Intelligence and Machine Learning capabilities, while also reducing power by up to 50%. Dr. Overton has more than 65 issued patents world-wide and has peer-reviewed publications across numerous academic disciplines. He holds post-graduate and doctoral degrees from Harvard and the University of Chicago.

John Overton

CEO
Kove

John Overton is the CEO of Kove IO, Inc. In the late 1980s, while at the Open Software Foundation, Dr. Overton wrote software that went on to be used by approximately two thirds of the world’s workstation market. In the 1990s, he co-invented and patented technology utilizing distributed hash tables for locality management, now widely used in storage, database, and numerous other markets. In the 2000s, he led development of the first truly capable Software-Defined Memory offering, Kove:SDM™. Kove:SDM™ enables new Artificial Intelligence and Machine Learning capabilities, while also reducing power by up to 50%. Dr. Overton has more than 65 issued patents world-wide and has peer-reviewed publications across numerous academic disciplines. He holds post-graduate and doctoral degrees from Harvard and the University of Chicago.

Author:

Bill Wright

Edge AI Technology Evangelist
Red Hat

Bill Wright

Edge AI Technology Evangelist
Red Hat
Edge
MLOps
Generative AI
Inferencing

Author:

Arne Stoschek

Vice President of AI, Autonomy & Digital Information
Acubed (Airbus)

Arne is the Vice President of AI, Autonomy & Digital Information and oversees the company’s development of autonomous flight and machine learning solutions to enable future, self-piloted aircraft. In his role, he also leads the advancement of large-scale data-driven processes to develop novel aircraft functions. He is passionate about robotics, autonomy and the impact these technologies will have on future mobility. After holding engineering leadership positions at global companies such as Volkswagen/Audi and Infineon, and at aspiring Silicon Valley startups, namely Lucid Motors/Atieva, Knightscope and Better Place, Arne dared to take his unique skill set to altitude above ground inside Airbus. Arne earned a Doctor of Philosophy in Electrical and Computer Engineering from the Technical University of Munich and held a computer vision and data analysis research position at Stanford University.

 

Arne Stoschek

Vice President of AI, Autonomy & Digital Information
Acubed (Airbus)

Arne is the Vice President of AI, Autonomy & Digital Information and oversees the company’s development of autonomous flight and machine learning solutions to enable future, self-piloted aircraft. In his role, he also leads the advancement of large-scale data-driven processes to develop novel aircraft functions. He is passionate about robotics, autonomy and the impact these technologies will have on future mobility. After holding engineering leadership positions at global companies such as Volkswagen/Audi and Infineon, and at aspiring Silicon Valley startups, namely Lucid Motors/Atieva, Knightscope and Better Place, Arne dared to take his unique skill set to altitude above ground inside Airbus. Arne earned a Doctor of Philosophy in Electrical and Computer Engineering from the Technical University of Munich and held a computer vision and data analysis research position at Stanford University.

 

In this talk, Dr. Vinesh Sukumar will explain how Qualcomm has been successful in deploying large generative AI models on the edge for a variety of use cases in consumer and enterprise markets. He will examine key challenges that must be overcome before large models at the edge can reach their full commercial potential. He’ll also highlight how the industry is addressing these challenges and explore emerging large multimodal models.

Edge
Inferencing Systems

Author:

Vinesh Sukumar

Head of AI Product Management
Qualcomm

Vinesh Sukumar currently serves as Senior Director – Head of AI/ML product management at Qualcomm Technologies, Inc (QTI).  In this role, he leads AI product definition, strategy and solution deployment across multiple business units.

•He has about 20 years of industry experience spread across research, engineering and application deployment. He currently holds a doctorate degree specializing in imaging and vision systems while also completing a business degree focused on strategy and marketing. He is a regular speaker in many AI industry forums and has authored several journal papers and two technical books.

Vinesh Sukumar

Head of AI Product Management
Qualcomm

Vinesh Sukumar currently serves as Senior Director – Head of AI/ML product management at Qualcomm Technologies, Inc (QTI).  In this role, he leads AI product definition, strategy and solution deployment across multiple business units.

•He has about 20 years of industry experience spread across research, engineering and application deployment. He currently holds a doctorate degree specializing in imaging and vision systems while also completing a business degree focused on strategy and marketing. He is a regular speaker in many AI industry forums and has authored several journal papers and two technical books.

Join Mark Russinovich, Azure CTO and Technical Fellow, for an in-depth exploration of Microsoft's AI architecture. Discover the technology behind our sustainable datacenter design, massive supercomputers used for foundational model training, efficient infrastructure for serving models, workload management and optimizations, AI safety, and advancements in confidential computing to safeguard data during processing.

Hardware
Systems
Infrastructure

Author:

Mark Russinovich

CTO and Technical Fellow, Azure
Microsoft

Mark Russinovich is Chief Technology Officer and Technical Fellow for Microsoft Azure, Microsoft’s global enterprise-grade cloud platform. A widely recognized expert in distributed systems, operating systems and cybersecurity, Mark earned a Ph.D. in computer engineering from Carnegie Mellon University. He later co-founded Winternals Software, joining Microsoft in 2006 when the company was acquired. Mark is a popular speaker at industry conferences such as Microsoft Ignite, Microsoft Build, and RSA Conference. He has authored several nonfiction and fiction books, including the Microsoft Press Windows Internals book series, Troubleshooting with the Sysinternals Tools, as well as fictional cyber security thrillers Zero Day, Trojan Horse and Rogue Code.

Mark Russinovich

CTO and Technical Fellow, Azure
Microsoft

Mark Russinovich is Chief Technology Officer and Technical Fellow for Microsoft Azure, Microsoft’s global enterprise-grade cloud platform. A widely recognized expert in distributed systems, operating systems and cybersecurity, Mark earned a Ph.D. in computer engineering from Carnegie Mellon University. He later co-founded Winternals Software, joining Microsoft in 2006 when the company was acquired. Mark is a popular speaker at industry conferences such as Microsoft Ignite, Microsoft Build, and RSA Conference. He has authored several nonfiction and fiction books, including the Microsoft Press Windows Internals book series, Troubleshooting with the Sysinternals Tools, as well as fictional cyber security thrillers Zero Day, Trojan Horse and Rogue Code.