| Page 618 | Kisaco Research
Generative AI
Infrastructure

Author:

Steven Brightfield

Chief Marketing Officer
BrainChip

Steven Brightfield has over 20 years of success defining and bringing to market new semiconductor products with companies such as Qualcomm, SiMA.ai. LSI Logic, Plessey and Zoran for mobile, AR/VR, wearable, edge ML, cable/sat set-top and digital camera chips. He has 10 years of experience launching programmable semiconductor IP cores for CPU/GPU/DSP/NPUs at LSI Logic,ARC, MIPS, Silicon Arts, Improv, and BOPS and licensing into end products that are ubiquitous today. Steven’s technical foundation in digital signal processing led to using (DSPs in innovative products that digitized the world of speech, audio, multimedia, graphics, camera and video processing, most recently applying AI/ML in these same domains. Steven recently joined the BrainChip leadership team to further drive BrainChip’s brand recognition, go-to-market strategy and customer acquisition as BrainChip enters a growth phase for their flagship Akida products. Steven has a Bachelor of Science in Electrical Engineering from Purdue University. 

 

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Steven Brightfield

Chief Marketing Officer
BrainChip

Steven Brightfield has over 20 years of success defining and bringing to market new semiconductor products with companies such as Qualcomm, SiMA.ai. LSI Logic, Plessey and Zoran for mobile, AR/VR, wearable, edge ML, cable/sat set-top and digital camera chips. He has 10 years of experience launching programmable semiconductor IP cores for CPU/GPU/DSP/NPUs at LSI Logic,ARC, MIPS, Silicon Arts, Improv, and BOPS and licensing into end products that are ubiquitous today. Steven’s technical foundation in digital signal processing led to using (DSPs in innovative products that digitized the world of speech, audio, multimedia, graphics, camera and video processing, most recently applying AI/ML in these same domains. Steven recently joined the BrainChip leadership team to further drive BrainChip’s brand recognition, go-to-market strategy and customer acquisition as BrainChip enters a growth phase for their flagship Akida products. Steven has a Bachelor of Science in Electrical Engineering from Purdue University. 

 

Generative AI
Hardware
Infrastructure

Author:

Hyunsik Choi

Head of SW Platform
Furiosa AI
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Hyunsik Choi

Head of SW Platform
Furiosa AI
Generative AI
Infrastructure

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.

Mirko Prezioso, co-founder and CEO of Mentium Technologies, will present an overview of the company, including who they are, what they do, and their mission. The talk will highlight why Mentium developed a Hybrid architecture for Edge AI applications that demand the highest inference reliability and speed, specifically for Mission-Critical Edge AI applications. Mentium plans to deliver Early Access Development Kits in 2024, a milestone made possible with the support of the Synopsys Cloud platform and team.

Software
Generative AI
Hardware

Author:

Mirko Prezioso

CEO
Mentium Technologies

Mirko Prezioso has a M. Sc. in condensed matter physics from the University of Parma, Italy, where he also earned his PhD in advanced materials science and technology, in 2008. He then worked on spintronics, memory effects and memristor, bringing him, in 2013 to the University of California, Santa Barbara. Here he worked on devices and algorithms for neuromorphic computation. He is the lead author of the first demonstration of in-memory computing based on integrated memristive devices. In 2017 Dr. Prezioso became the co-founder and CEO of Mentium Technologies and has led the company since then.

 

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Mirko Prezioso

CEO
Mentium Technologies

Mirko Prezioso has a M. Sc. in condensed matter physics from the University of Parma, Italy, where he also earned his PhD in advanced materials science and technology, in 2008. He then worked on spintronics, memory effects and memristor, bringing him, in 2013 to the University of California, Santa Barbara. Here he worked on devices and algorithms for neuromorphic computation. He is the lead author of the first demonstration of in-memory computing based on integrated memristive devices. In 2017 Dr. Prezioso became the co-founder and CEO of Mentium Technologies and has led the company since then.

 

Generative AI
Infrastructure

Author:

Jay Dawani

CEO
Lemurian Labs

Jay Dawani is co-founder & CEO of Lemurian Labs, a startup at the forefront of general purpose accelerated computing for making AI development affordable and generally available for all companies and people to equally benefit. Author of the influential book "Mathematics for Deep Learning", he has held leadership positions at companies such as BlocPlay and Geometric Energy Corporation, spearheading projects involving quantum computing, metaverse, blockchain, AI, space robotics, and more. Jay has also served as an advisor to NASA Frontier Development Lab, SiaClassic, and many leading AI firms.

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Jay Dawani

CEO
Lemurian Labs

Jay Dawani is co-founder & CEO of Lemurian Labs, a startup at the forefront of general purpose accelerated computing for making AI development affordable and generally available for all companies and people to equally benefit. Author of the influential book "Mathematics for Deep Learning", he has held leadership positions at companies such as BlocPlay and Geometric Energy Corporation, spearheading projects involving quantum computing, metaverse, blockchain, AI, space robotics, and more. Jay has also served as an advisor to NASA Frontier Development Lab, SiaClassic, and many leading AI firms.

Hardware
Software
Systems
Infrastructure
Moderator

Author:

Karl Freund

Founder & Principal Analyst
Cambrian AI Research

Karl Freund is the founder and principal analyst of Cambrian AI Research. Prior to this, he was Moor Insights & Strategy’s consulting lead for HPC and Deep Learning. His recent experiences as the VP of Marketing at AMD and Calxeda, as well as his previous positions at Cray and IBM, positions him as a leading industry expert in these rapidly evolving industries. Karl works with investment and technology customers to help them understand the emerging Deep Learning opportunity in data centers, from competitive landscape to ecosystem to strategy.

 

Karl has worked directly with datacenter end users, OEMs, ODMs and the industry ecosystem, enabling him to help his clients define the appropriate business, product, and go-to-market strategies. He is also recognized expert on the subject of low-power servers and the emergence of ARM in the datacenter and has been a featured speaker at scores of investment and industry conferences on this topic.

Accomplishments during his career include:

  • Led the revived HPC initiative at AMD, targeting APUs at deep learning and other HPC workloads
  • Created an industry-wide thought leadership position for Calxeda in the ARM Server market
  • Helped forge the early relationship between HP and Calxeda leading to the surprise announcement of HP Moonshot with Calxeda in 2011
  • Built the IBM Power Server brand from 14% market share to over 50% share
  • Integrated the Tivoli brand into the IBM company’s branding and marketing organization
  • Co-Led the integration of HP and Apollo Marketing after the Boston-based desktop company’s acquisition

 

Karl’s background includes RISC and Mainframe servers, as well as HPC (Supercomputing). He has extensive experience as a global marketing executive at IBM where he was VP Marketing (2000-2010), Cray where he was VP Marketing (1995-1998), and HP where he was a Division Marketing Manager (1979-1995).

 

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Karl Freund

Founder & Principal Analyst
Cambrian AI Research

Karl Freund is the founder and principal analyst of Cambrian AI Research. Prior to this, he was Moor Insights & Strategy’s consulting lead for HPC and Deep Learning. His recent experiences as the VP of Marketing at AMD and Calxeda, as well as his previous positions at Cray and IBM, positions him as a leading industry expert in these rapidly evolving industries. Karl works with investment and technology customers to help them understand the emerging Deep Learning opportunity in data centers, from competitive landscape to ecosystem to strategy.

 

Karl has worked directly with datacenter end users, OEMs, ODMs and the industry ecosystem, enabling him to help his clients define the appropriate business, product, and go-to-market strategies. He is also recognized expert on the subject of low-power servers and the emergence of ARM in the datacenter and has been a featured speaker at scores of investment and industry conferences on this topic.

Accomplishments during his career include:

  • Led the revived HPC initiative at AMD, targeting APUs at deep learning and other HPC workloads
  • Created an industry-wide thought leadership position for Calxeda in the ARM Server market
  • Helped forge the early relationship between HP and Calxeda leading to the surprise announcement of HP Moonshot with Calxeda in 2011
  • Built the IBM Power Server brand from 14% market share to over 50% share
  • Integrated the Tivoli brand into the IBM company’s branding and marketing organization
  • Co-Led the integration of HP and Apollo Marketing after the Boston-based desktop company’s acquisition

 

Karl’s background includes RISC and Mainframe servers, as well as HPC (Supercomputing). He has extensive experience as a global marketing executive at IBM where he was VP Marketing (2000-2010), Cray where he was VP Marketing (1995-1998), and HP where he was a Division Marketing Manager (1979-1995).

 

Author:

Paolo Faraboschi

Vice President and HPE Fellow; Director, AI Research Lab
Hewlett Packard Labs, HPE

Paolo Faraboschi is a Vice President and HPE Fellow and directs the Artificial Intelligence Research Lab at Hewlett Packard Labs. Paolo has been at HP/HPE for three decades, and worked on a broad range of technologies, from embedded printer processors to exascale supercomputers. He previously led exascale computing research (2017-2020), and the hardware architecture of “The Machine” project (2014-2016), pioneered low-energy servers with HP’s project Moonshot (2010-2014), drove scalable system-level simulation research (2004-2009), and was the principal architect of a family of embedded VLIW cores (1994-2003), widely used in video SoCs and HP’s printers. Paolo is an IEEE Fellow (2014) for “contributions to embedded processor architecture and system-on-chip technology”, author of over 100 publications, 70 granted patents, and the book “Embedded Computing: a VLIW approach”. He received a Ph.D. in EECS from the University of Genoa, Italy.

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Paolo Faraboschi

Vice President and HPE Fellow; Director, AI Research Lab
Hewlett Packard Labs, HPE

Paolo Faraboschi is a Vice President and HPE Fellow and directs the Artificial Intelligence Research Lab at Hewlett Packard Labs. Paolo has been at HP/HPE for three decades, and worked on a broad range of technologies, from embedded printer processors to exascale supercomputers. He previously led exascale computing research (2017-2020), and the hardware architecture of “The Machine” project (2014-2016), pioneered low-energy servers with HP’s project Moonshot (2010-2014), drove scalable system-level simulation research (2004-2009), and was the principal architect of a family of embedded VLIW cores (1994-2003), widely used in video SoCs and HP’s printers. Paolo is an IEEE Fellow (2014) for “contributions to embedded processor architecture and system-on-chip technology”, author of over 100 publications, 70 granted patents, and the book “Embedded Computing: a VLIW approach”. He received a Ph.D. in EECS from the University of Genoa, Italy.

Author:

Albert Chen

Solutions Architect
Amphenol
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Albert Chen

Solutions Architect
Amphenol

Author:

Syona Sarma

Head of Hardware Engineering
Cloudflare

Syona Sarma is the Senior Director, Head of Hardware Systems at Cloudflare, where she runs the engineering team that builds Cloudflare's infrastructure. Since joining Cloudflare in 2022, she leads the design of the next generation servers that is foundational to all of Cloudflare's services, including compute and storage. More recently, she spearheaded the introduction of specialized accelerators designs on the edge, which enabled launch of Cloudflare's inference-as-a-service product, and is integral to the rapidly expanding suite of AI product offerings. Before coming to Cloudflare, Syona was at Intel, where she started her career in CPU design, and held several different roles in hardware, product and business development in Cloud Computing. 

She holds a Masters in Electrical and Computer Engineering from University of Texas at Austin, and a business degree from University of Washington.

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Syona Sarma

Head of Hardware Engineering
Cloudflare

Syona Sarma is the Senior Director, Head of Hardware Systems at Cloudflare, where she runs the engineering team that builds Cloudflare's infrastructure. Since joining Cloudflare in 2022, she leads the design of the next generation servers that is foundational to all of Cloudflare's services, including compute and storage. More recently, she spearheaded the introduction of specialized accelerators designs on the edge, which enabled launch of Cloudflare's inference-as-a-service product, and is integral to the rapidly expanding suite of AI product offerings. Before coming to Cloudflare, Syona was at Intel, where she started her career in CPU design, and held several different roles in hardware, product and business development in Cloud Computing. 

She holds a Masters in Electrical and Computer Engineering from University of Texas at Austin, and a business degree from University of Washington.

Author:

Nitza Basoco

Technology and Market Strategist
Teradyne
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Nitza Basoco

Technology and Market Strategist
Teradyne
Generative AI
Infrastructure

Author:

Daniel Wu

Strategic AI Leadership | Keynote Speaker | Educator | Entrepreneur Course Facilitator
Stanford University

Daniel Wu is an accomplished technical leader with over 20 years of expertise in software engineering, AI/ML, and team development. With a diverse career spanning technology, education, finance, and healthcare, he is credited for establishing high-performing AI teams, pioneering point-of-care expert systems, co-founding a successful online personal finance marketplace, and leading the development of an innovative online real estate brokerage platform. Passionate about technology democratization and ethical AI practices, Daniel actively promotes these principles through involvement in computer science and AI/ML education programs. A sought-after speaker, he shares insights and experiences at international conferences and corporate events. Daniel holds a computer science degree from Stanford University.

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Daniel Wu

Strategic AI Leadership | Keynote Speaker | Educator | Entrepreneur Course Facilitator
Stanford University

Daniel Wu is an accomplished technical leader with over 20 years of expertise in software engineering, AI/ML, and team development. With a diverse career spanning technology, education, finance, and healthcare, he is credited for establishing high-performing AI teams, pioneering point-of-care expert systems, co-founding a successful online personal finance marketplace, and leading the development of an innovative online real estate brokerage platform. Passionate about technology democratization and ethical AI practices, Daniel actively promotes these principles through involvement in computer science and AI/ML education programs. A sought-after speaker, he shares insights and experiences at international conferences and corporate events. Daniel holds a computer science degree from Stanford University.

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.

... read more

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.

Author:

Neeraj Kumar

Chief Data Scientist
Pacific Northwest National Laboratory

As the Chief Data Scientist at Pacific Northwest National Laboratory (PNNL), Neeraj leads a talented team of scientists and professionals in addressing critical challenges in energy, artificial intelligence, health, and biothreat sectors. With over 15 years of experience in quantitative research and data science, he specializes in developing innovative solutions and managing multidisciplinary teams focused on multimillion-dollar programs at the intersection of fundamental discovery and transformative AI-driven product development.


His expertise spans Applied Math, High-Performance Computing, Computational Chemistry and Biology, Health Science, and Medical Therapeutics, enabling his to guide his team in exploring new frontiers. He has a deep understanding and application of Generative AI, AI Safety and Trustworthiness, Natural Language Processing, Applied Mathematics, Software Engineering, Modeling and Simulations, Quantum Mechanics, Data Integration, Causal Inference/Reasoning, and Reinforcement Learning. These competencies are crucial in developing scalable AI/ML models and computing infrastructures that accelerate scientific discoveries, enhance computer-aided design, and refine autonomous decision-making.

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Neeraj Kumar

Chief Data Scientist
Pacific Northwest National Laboratory

As the Chief Data Scientist at Pacific Northwest National Laboratory (PNNL), Neeraj leads a talented team of scientists and professionals in addressing critical challenges in energy, artificial intelligence, health, and biothreat sectors. With over 15 years of experience in quantitative research and data science, he specializes in developing innovative solutions and managing multidisciplinary teams focused on multimillion-dollar programs at the intersection of fundamental discovery and transformative AI-driven product development.


His expertise spans Applied Math, High-Performance Computing, Computational Chemistry and Biology, Health Science, and Medical Therapeutics, enabling his to guide his team in exploring new frontiers. He has a deep understanding and application of Generative AI, AI Safety and Trustworthiness, Natural Language Processing, Applied Mathematics, Software Engineering, Modeling and Simulations, Quantum Mechanics, Data Integration, Causal Inference/Reasoning, and Reinforcement Learning. These competencies are crucial in developing scalable AI/ML models and computing infrastructures that accelerate scientific discoveries, enhance computer-aided design, and refine autonomous decision-making.

Moderator

Author:

Manish Patel

Founding Partner
Nava Ventures

Manish Patel is the visionary founder of Nava Ventures, a pioneering venture capital firm headquartered in the heart of Silicon Valley. With a career spanning dozens of years at the forefront of technological innovation, Manish is renowned as a Silicon Valley Veteran with a knack for solving complex problems at the intersection of business, technology, and human experience.

Throughout his career, Manish has worn many hats – from operational maven and inventive trailblazer to astute venture capitalist. His deep-seated expertise in global business and product development, coupled with an unwavering passion for transformative technologies, positions him as a driving force behind Nava Ventures' success.

Prior to founding Nava Ventures, Manish held pivotal roles at Google and Highland Capital. At Google, he served as an early product leader, spearheading teams responsible for the design, development, and scalability of groundbreaking products such as Google Ads, GoogleTV, and Google Maps. Later, at Highland Capital, Manish played a key role in expanding the firm's footprint in California, further cementing his reputation as a strategic visionary in the venture capital landscape.  In 2021, Manish embarked on his entrepreneurial journey by establishing Nava Ventures. With a persistent focus on unique technology and experienced management teams, Nava focuses on early-stage investments across a diverse portfolio spanning AI technologies, data analytics, healthcare innovations, and financial services.

Beyond his professional pursuits, Manish's passion for knowledge sharing and mentorship is evident in his roles as an esteemed educator. For years, he has served as a dedicated instructor at the Stanford School of Engineering, nurturing the next generation of tech engineers and innovators. Additionally, his commitment to fostering entrepreneurship extends globally, as he proudly serves as a Fellow at the University of Toronto's Creative Destruction Lab (CDL) and is a Distinguished Fellow at IDEO and has more than a dozen patents.

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Manish Patel

Founding Partner
Nava Ventures

Manish Patel is the visionary founder of Nava Ventures, a pioneering venture capital firm headquartered in the heart of Silicon Valley. With a career spanning dozens of years at the forefront of technological innovation, Manish is renowned as a Silicon Valley Veteran with a knack for solving complex problems at the intersection of business, technology, and human experience.

Throughout his career, Manish has worn many hats – from operational maven and inventive trailblazer to astute venture capitalist. His deep-seated expertise in global business and product development, coupled with an unwavering passion for transformative technologies, positions him as a driving force behind Nava Ventures' success.

Prior to founding Nava Ventures, Manish held pivotal roles at Google and Highland Capital. At Google, he served as an early product leader, spearheading teams responsible for the design, development, and scalability of groundbreaking products such as Google Ads, GoogleTV, and Google Maps. Later, at Highland Capital, Manish played a key role in expanding the firm's footprint in California, further cementing his reputation as a strategic visionary in the venture capital landscape.  In 2021, Manish embarked on his entrepreneurial journey by establishing Nava Ventures. With a persistent focus on unique technology and experienced management teams, Nava focuses on early-stage investments across a diverse portfolio spanning AI technologies, data analytics, healthcare innovations, and financial services.

Beyond his professional pursuits, Manish's passion for knowledge sharing and mentorship is evident in his roles as an esteemed educator. For years, he has served as a dedicated instructor at the Stanford School of Engineering, nurturing the next generation of tech engineers and innovators. Additionally, his commitment to fostering entrepreneurship extends globally, as he proudly serves as a Fellow at the University of Toronto's Creative Destruction Lab (CDL) and is a Distinguished Fellow at IDEO and has more than a dozen patents.

Data Center
Hardware
Infrastructure

Author:

Anton McGonnell

Head of SW Products
SambaNova

Anton McGonnell is SambaNova’s Head of SW Products and leads the team defining their

cutting-edge full-stack chips-to-model platform. Prior to SambaNova, Anton played a pivotal

role in shaping the development and implementation of advanced machine learning

technologies at UIPath. Anton received his Bachelor’s in Computer Science from Queens

University in Belfast and his M.B.A. from Harvard Business School. He is a native of County

Tyrone, Ireland and currently resides in Palo Alto, CA.

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Anton McGonnell

Head of SW Products
SambaNova

Anton McGonnell is SambaNova’s Head of SW Products and leads the team defining their

cutting-edge full-stack chips-to-model platform. Prior to SambaNova, Anton played a pivotal

role in shaping the development and implementation of advanced machine learning

technologies at UIPath. Anton received his Bachelor’s in Computer Science from Queens

University in Belfast and his M.B.A. from Harvard Business School. He is a native of County

Tyrone, Ireland and currently resides in Palo Alto, CA.

Generative AI
Systems

Author:

Donald Thompson

Distinguished Engineer
Microsoft

Donald is currently a Distinguished Engineer Microsoft, following his recent tenure as Distinguished Eningeer at LinkedIn, where he oversaw the company's generative AI strategy, architecture, and technology. He has more than 35 years of hands-on experience as a technical architect and CTO, with an extensive background in designing and delivering innovative software and services on a large scale. In 2013, Donald co-founded Maana, which pioneered computational knowledge graphs and visual no-code/low-code authoring environments to address complex AI-based digital transformation challenges in Fortune 50 companies. During his previous 15 years at Microsoft, Donald started the Knowledge and Reasoning group within Microsoft's Bing division, where he innovated "Satori", an internet-scale knowledge graph constructed automatically from the web crawl. He co-founded a semantic computing incubation funded directly by Bill Gates, portions of which shipped as the SQL Server Semantic Engine. Additionally, he created Microsoft's first internet display ad delivery system and led numerous AI/ML initiatives in Microsoft Research across embedded systems, robotics, wearable computing, and privacy-preserving personal data services.

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Donald Thompson

Distinguished Engineer
Microsoft

Donald is currently a Distinguished Engineer Microsoft, following his recent tenure as Distinguished Eningeer at LinkedIn, where he oversaw the company's generative AI strategy, architecture, and technology. He has more than 35 years of hands-on experience as a technical architect and CTO, with an extensive background in designing and delivering innovative software and services on a large scale. In 2013, Donald co-founded Maana, which pioneered computational knowledge graphs and visual no-code/low-code authoring environments to address complex AI-based digital transformation challenges in Fortune 50 companies. During his previous 15 years at Microsoft, Donald started the Knowledge and Reasoning group within Microsoft's Bing division, where he innovated "Satori", an internet-scale knowledge graph constructed automatically from the web crawl. He co-founded a semantic computing incubation funded directly by Bill Gates, portions of which shipped as the SQL Server Semantic Engine. Additionally, he created Microsoft's first internet display ad delivery system and led numerous AI/ML initiatives in Microsoft Research across embedded systems, robotics, wearable computing, and privacy-preserving personal data services.

 

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.

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Arne Stoschek

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

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.