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Edge AI

Edge AI

Industrial Edge
On-Device ML
Enterprise Use Case

Author:

David Hinkler

Global Manufacturing IT Director, Pharma 4.0
Thermo Fisher Scientific

David Hinkler brings over three decades of comprehensive manufacturing expertise to the table. His career spans 17 years in Operational Technology (including industrial controls, automation systems, manufacturing execution systems, and quality systems) complemented by 16 years in Information Technology (covering ERP implementations, IT/OT integrations, security, and advanced analytics).

With leadership experience across multiple industries – from Life Sciences (15 years) and Food & Beverage (8 years) to Automotive (5 years) and Chemical (4 years) – David has developed exceptional depth of knowledge in industrial controls, data integration, manufacturing execution systems, quality management, and security implementations.

As a recognized industry expert, David has contributed to numerous technical committees and publications, including IEC 62443, ISA-95, BioPhorum, and MESA Smart Manufacturing, establishing himself as a thought leader in manufacturing technology integration and digital transformation.

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David Hinkler

Global Manufacturing IT Director, Pharma 4.0
Thermo Fisher Scientific

David Hinkler brings over three decades of comprehensive manufacturing expertise to the table. His career spans 17 years in Operational Technology (including industrial controls, automation systems, manufacturing execution systems, and quality systems) complemented by 16 years in Information Technology (covering ERP implementations, IT/OT integrations, security, and advanced analytics).

With leadership experience across multiple industries – from Life Sciences (15 years) and Food & Beverage (8 years) to Automotive (5 years) and Chemical (4 years) – David has developed exceptional depth of knowledge in industrial controls, data integration, manufacturing execution systems, quality management, and security implementations.

As a recognized industry expert, David has contributed to numerous technical committees and publications, including IEC 62443, ISA-95, BioPhorum, and MESA Smart Manufacturing, establishing himself as a thought leader in manufacturing technology integration and digital transformation.

Industrial Edge
On-Device ML
Enterprise Use Case

Author:

Sakyasingha Dasgupta

Founder & CEO
EdgeCortix

Sakya is the founder and Chief Executive officer of EdgeCortix. He is an artificial intelligence (AI) and machine learning technologist, entrepreneur, and engineer with over a decade of experience in taking cutting edge AI research from ideation stage to scalable products, across different industry verticals.  He has lead teams at global companies like Microsoft and IBM Research / IBM Japan, along with national research labs like RIKEN Japan and the Max Planck Institute Germany. Previously, he helped establish and lead the technology division at lean startups in Japan and Singapore, in semiconductor technology, robotics and Fintech sectors. Sakya is the inventor of over 20 patents and has published widely on machine learning and AI with over 1,000 citations. 

Sakya holds a PhD. in Physics of Complex Systems from the Max Planck Institute in Germany, along with Masters in Artificial Intelligence from The University of Edinburgh and a Bachelors of Computer Engineering. Prior to founding EdgeCortix he completed his entrepreneurship studies from the MIT Sloan School of Management.

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Sakyasingha Dasgupta

Founder & CEO
EdgeCortix

Sakya is the founder and Chief Executive officer of EdgeCortix. He is an artificial intelligence (AI) and machine learning technologist, entrepreneur, and engineer with over a decade of experience in taking cutting edge AI research from ideation stage to scalable products, across different industry verticals.  He has lead teams at global companies like Microsoft and IBM Research / IBM Japan, along with national research labs like RIKEN Japan and the Max Planck Institute Germany. Previously, he helped establish and lead the technology division at lean startups in Japan and Singapore, in semiconductor technology, robotics and Fintech sectors. Sakya is the inventor of over 20 patents and has published widely on machine learning and AI with over 1,000 citations. 

Sakya holds a PhD. in Physics of Complex Systems from the Max Planck Institute in Germany, along with Masters in Artificial Intelligence from The University of Edinburgh and a Bachelors of Computer Engineering. Prior to founding EdgeCortix he completed his entrepreneurship studies from the MIT Sloan School of Management.

Author:

Jeremy Fix

Chief Engineer
ispace-U.S.

With over 25 years of comprehensive systems, payload, and mission engineering leadership, having led high-performing teams for the highest levels of system architecture and design for SAR, SIGINT, and EO remote sensing missions and constellations. Prior to joining ispace-U.S., Jeremy most recently served as Principal Space Consultant for Amazon Web Services and Mission Architect for SEAKR Engineering.
 Jeremy is passionate about driving high-payoff technical missions, including disruptive technology demonstrations. These include DARPA Blackjack and Pit boss, TacSat-2, and National Program Operations and Mission Extensions. Jeremy earned his bachelor’s degree in engineering from the Colorado School of Mines.

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Jeremy Fix

Chief Engineer
ispace-U.S.

With over 25 years of comprehensive systems, payload, and mission engineering leadership, having led high-performing teams for the highest levels of system architecture and design for SAR, SIGINT, and EO remote sensing missions and constellations. Prior to joining ispace-U.S., Jeremy most recently served as Principal Space Consultant for Amazon Web Services and Mission Architect for SEAKR Engineering.
 Jeremy is passionate about driving high-payoff technical missions, including disruptive technology demonstrations. These include DARPA Blackjack and Pit boss, TacSat-2, and National Program Operations and Mission Extensions. Jeremy earned his bachelor’s degree in engineering from the Colorado School of Mines.