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Market Analysis
Hyperscaler
Emerging Memory Innovations
Moderator

Author:

Jim Handy

General Director
Objective Analysis

Jim Handy of Objective Analysis has over 35 years in the electronics industry including 20 years as a leading semiconductor and SSD industry analyst. Early in his career he held marketing and design positions at leading semiconductor suppliers including Intel, National Semiconductor, and Infineon. A frequent presenter at trade shows, Mr. Handy is highly respected for his technical depth, accurate forecasts, widespread industry presence and volume of publication. He has written hundreds of market reports, articles for trade journals, and white papers, and is frequently interviewed and quoted in the electronics trade press and other media.

Jim Handy

General Director
Objective Analysis

Jim Handy of Objective Analysis has over 35 years in the electronics industry including 20 years as a leading semiconductor and SSD industry analyst. Early in his career he held marketing and design positions at leading semiconductor suppliers including Intel, National Semiconductor, and Infineon. A frequent presenter at trade shows, Mr. Handy is highly respected for his technical depth, accurate forecasts, widespread industry presence and volume of publication. He has written hundreds of market reports, articles for trade journals, and white papers, and is frequently interviewed and quoted in the electronics trade press and other media.

Speakers

Author:

Siddarth Krishnan

MD, Engineering Management
Applied Materials

Siddarth Krishnan is Managing Director, at Applied Materials, with an R&D focus on Materials Engineering for Heterogenous Integration, Power Devices and alternative memories (RERAM, FERAM etc). In his role, Siddarth and his team research ways of building modules that help connect memory chips (such as High Bandwidth memories) with logic chips and chips with other functionality, using 2D, 2.5D and 3D Integration. Prior to working on Heterogenous Integration, Siddarth worked on various other materials engineering areas, such as MicroLED and Analog In Memory Compute. Previously, Siddarth was an engineering manager at IBM, working on High-K/Metal Gate and FinFET devices.

Siddarth Krishnan

MD, Engineering Management
Applied Materials

Siddarth Krishnan is Managing Director, at Applied Materials, with an R&D focus on Materials Engineering for Heterogenous Integration, Power Devices and alternative memories (RERAM, FERAM etc). In his role, Siddarth and his team research ways of building modules that help connect memory chips (such as High Bandwidth memories) with logic chips and chips with other functionality, using 2D, 2.5D and 3D Integration. Prior to working on Heterogenous Integration, Siddarth worked on various other materials engineering areas, such as MicroLED and Analog In Memory Compute. Previously, Siddarth was an engineering manager at IBM, working on High-K/Metal Gate and FinFET devices.

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:

Brett Dodds

Senior Director, Azure Memory Devices
Microsoft

Brett Dodds

Senior Director, Azure Memory Devices
Microsoft

Author:

David McIntyre

Director, Product Planning: Samsung & Board Member: SNIA
SNIA

David McIntyre

Director, Product Planning: Samsung & Board Member: SNIA
SNIA

As the cost of sequencing drops and the quantity of data produced by sequencing grows, the amount of processing dedicated to genomics is increasing at a rapid pace.  [Genomics is evolving in a number of directions simultaneously.]  Complex pipelines are written in such a manner that they are portable to either clusters or clouds.  Key kernels are also being ported to GPUs in a drop-in replacement for their non-accelerated counterpart.  These techniques are helping to address challenges of scaling up genomics computations and porting validated pipelines to new systems.  However, all of these computations strain the bandwidth and capacity of available resources.  In this talk, Roche´s Tom Sheffler will share an overview of the memory-bound challenges present in genomics and venture some possible solutions.

Emerging Memory Innovations
AI/ML Compute
Systems Infrastructure/Architecture

Author:

Tom Sheffler

Solution Architect, Next Generation Sequencing
Former Roche

Tom earned his PhD from Carnegie Mellon in Computer Engineering with a focus on parallel computing architectures and prrogramming models.  His interest in high-performance computing took him to NASA Ames, and then to Rambus where he worked on accelerated memory interfaces for providing high bandwidth.  Following that, he co-founded the cloud video analytics company, Sensr.net, that applied scalable cloud computing to analyzing large streams of video data.  He later joined Roche to work on next-generation sequencing and scalable genomics analysis platforms.  Throughout his career, Tom has focused on the application of high performance computer systems to real world problems.

Tom Sheffler

Solution Architect, Next Generation Sequencing
Former Roche

Tom earned his PhD from Carnegie Mellon in Computer Engineering with a focus on parallel computing architectures and prrogramming models.  His interest in high-performance computing took him to NASA Ames, and then to Rambus where he worked on accelerated memory interfaces for providing high bandwidth.  Following that, he co-founded the cloud video analytics company, Sensr.net, that applied scalable cloud computing to analyzing large streams of video data.  He later joined Roche to work on next-generation sequencing and scalable genomics analysis platforms.  Throughout his career, Tom has focused on the application of high performance computer systems to real world problems.

 

Kim Swanson

Head of Commercial
Dennemeyer

Kim Swanson

Head of Commercial
Dennemeyer

Kim Swanson

Head of Commercial
Dennemeyer
 

Kim Swanson

Head of Commercial
Dennemeyer

Kim Swanson

Head of Commercial
Dennemeyer

Kim Swanson

Head of Commercial
Dennemeyer

What does an Intellectual Property strategy mean?  Most IP professionals consider an IP strategy to be setting goals, targets, and priorities, but have you considered framing your concepts for achieving your IP targets and expectations? This discussion emphasizes moving away from last-minute actions and adopting mid- and long-term approaches to ultimately contribute significantly to company results. By showing you how to build a solid alignment of IP activities with business objectives, we aim to provide you with the knowledge to create an “IP Ecosystem,” which will drive operational excellence in a sustainable way. 

 

Kim Swanson

Head of Commercial
Dennemeyer

Kim Swanson

Head of Commercial
Dennemeyer

Kim Swanson

Head of Commercial
Dennemeyer

Dive into the transformative world of Generative AI. Join Juergen Weichenberger VP AI Strategy & Innovation, Schneider Electric, discussing how it’s revolutionizing work process, integrating information and deducting knowledge. You will learn how GenAI unleashes a range of options for industrial applications, from PLC code generation to large visions models for quality & safety assurance, supply chain, order management, and beyond. During the session we will emphasize the advantages and challenges of GenAI in PLC code generation use cases.

Technologist Deep-Dive (Gen AI & Data Science) Track

Author:

Juergen Weichenberger

VP of AI Strategy & Innovation
Schneider Electric

Juergen has 20 years of experience in building complex solutions leveraging advanced analytics, data science, database design, architecture and other cutting-edge technologies. Working in the AI industry since the mid-1990s, Juergen have built solutions for various industries and leveraged various methods over time. He joined Schneider Electric in 2022 as Vice President AI New Value Stream. His focus is to produce industry grade solutions, translating the combination of core algorithms, robotic, cybernetics and human intelligence. Previously, he worked as Senior Data Science Executive in Accenture and hold various roles related to AI and data. He holds a PhD degree in Business intelligence and new marketing methods from The Philipp University of Marburg, MBA in Executive General Management and MA in Applied Computer, bioinformatics and cybernetic from Paris Lodron Universität Salzburg.

Juergen Weichenberger

VP of AI Strategy & Innovation
Schneider Electric

Juergen has 20 years of experience in building complex solutions leveraging advanced analytics, data science, database design, architecture and other cutting-edge technologies. Working in the AI industry since the mid-1990s, Juergen have built solutions for various industries and leveraged various methods over time. He joined Schneider Electric in 2022 as Vice President AI New Value Stream. His focus is to produce industry grade solutions, translating the combination of core algorithms, robotic, cybernetics and human intelligence. Previously, he worked as Senior Data Science Executive in Accenture and hold various roles related to AI and data. He holds a PhD degree in Business intelligence and new marketing methods from The Philipp University of Marburg, MBA in Executive General Management and MA in Applied Computer, bioinformatics and cybernetic from Paris Lodron Universität Salzburg.

 

Juergen Weichenberger

VP of AI Strategy & Innovation
Schneider Electric

Juergen has 20 years of experience in building complex solutions leveraging advanced analytics, data science, database design, architecture and other cutting-edge technologies. Working in the AI industry since the mid-1990s, Juergen have built solutions for various industries and leveraged various methods over time. He joined Schneider Electric in 2022 as Vice President AI New Value Stream. His focus is to produce industry grade solutions, translating the combination of core algorithms, robotic, cybernetics and human intelligence.

Juergen Weichenberger

VP of AI Strategy & Innovation
Schneider Electric

Juergen Weichenberger

VP of AI Strategy & Innovation
Schneider Electric

Juergen has 20 years of experience in building complex solutions leveraging advanced analytics, data science, database design, architecture and other cutting-edge technologies. Working in the AI industry since the mid-1990s, Juergen have built solutions for various industries and leveraged various methods over time. He joined Schneider Electric in 2022 as Vice President AI New Value Stream. His focus is to produce industry grade solutions, translating the combination of core algorithms, robotic, cybernetics and human intelligence. Previously, he worked as Senior Data Science Executive in Accenture and hold various roles related to AI and data. He holds a PhD degree in Business intelligence and new marketing methods from The Philipp University of Marburg, MBA in Executive General Management and MA in Applied Computer, bioinformatics and cybernetic from Paris Lodron Universität Salzburg.

Algabloom

with

Starting with any relevant education, walk me through the twists and turns of your career to date? How did one opportunity lead to the next + what was the key takeaway/ experience in each role + how did this lead you to where you are now)


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